Arjuna C. Reddy

About Me

Some see problems; I see puzzles waiting to be solved. Armed with a Master’s in Electrical and Computer Engineering and experience across major tech companies like PwC and Cognizant, I specialize in unraveling the complexities of cloud computing, security, and DevOps. If there’s one thing you should know about me, it’s this: I don’t just find solutions—I build them.

Experience

• Teaching Assistant, San Diego State University - March 2023 – August 2024

  Facilitated installation and configuration of laboratory equipment, guided students in hardware troubleshooting, and performed firmware and OS installations to ensure reliable systems for academic purposes.

• Associate, PwC - June 2021 – July 2022

  Optimized cloud infrastructure for over 30 clients on Google Cloud Platform (GCP), reducing cloud costs by 50% and enhancing system performance by 25%, resulting in a 40% improvement in service delivery and $50K annual savings per client through the implementation of best practices and proactive issue management.

  Implemented a Git-based Jenkins CI/CD pipeline for multiple Fortune 500 clients, reducing deployment time by 30% and increasing successful deployments by 15%, which decreased security incidents by 30% and enhanced overall system reliability by streamlining the deployment process and minimizing human error.

  Led the implementation of a comprehensive security incident response program across PwC’s Cloud Management Services, reducing security incidents by 30%. Managed the Auth0 platform for over 50,000 users, preventing 95% of unauthorized access attempts through Multi-Factor Authentication (MFA) and advanced threat detection protocols.

  Facilitated seamless client onboardings by adhering to best practices and maintaining detailed documentation, improving client satisfaction by 30%. Ensured clear communication and effective management of client requirements, which enhanced service delivery and reduced onboarding time.

  Conducted regular system checks and proactive space monitoring on OCI, eliminating space errors and improving database performance by 35%. Achieved 99.99% availability, reduced downtime by 30%, and increased operational efficiency by 20% through diligent monitoring and optimization.

  Generated comprehensive quarterly reports using Power BI, providing actionable insights that optimized resource allocation and improved financial performance. Supported data-driven decision-making, resulting in enhanced service quality and strategic planning across multiple client projects.

  Configured and maintained network infrastructure using Windows and Linux operating systems, ensuring optimal performance and security. Demonstrated proficiency in multi-platform environments, enhancing system versatility and reliability across diverse client setups.

  Streamlined client documentation processes, including database topology and connection procedures, reducing errors by 20% and increasing client trust. This effort led to improved communication and more effective management of client expectations and technical requirements.

  Executed detailed system assessments and managed resolutions for identified defects, improving system stability by 25%. Applied in-depth knowledge of cloud infrastructure to proactively address potential issues, which resulted in fewer disruptions and higher client satisfaction.

  Orchestrated the successful deployment of security protocols, including IAM solutions and MFA, across multiple client environments, enhancing overall security posture by 50%. This proactive approach led to zero critical security breaches and ensured compliance with industry standards.

• Administrator, Cognizant Technology Solutions - July 2019 – May 2021

  Enhanced overall database performance on Oracle Cloud Infrastructure (OCI) by 35% through the meticulous monitoring of daily backups, patch management, and space allocation. Leveraged Oracle Cloud Monitoring tools to proactively identify and resolve potential issues, leading to a consistent 99.99% availability and zero space errors, thus supporting uninterrupted business operations.

  Fortified security measures across Oracle ERP systems, leading to a 50% decrease in unauthorized access incidents by implementing comprehensive IAM solutions and security protocols. Utilized advanced user management techniques and rigorous compliance checks, ensuring full adherence to industry standards and safeguarding sensitive data for over 50,000 users.

  Streamlined incident response times by 60% as part of a 24/7 on-call rotation, employing Oracle Enterprise Manager to swiftly monitor, identify, and terminate long-running queries. This approach minimized system disruptions and maintained high availability, resulting in improved client trust and satisfaction across 15+ high-profile client environments.

  Minimized downtime by 30% and increased operational efficiency by 20% through regular system health checks, PSU patching, and the strategic use of hot backups. Applied deep expertise in Oracle Data Pump and RMAN to execute complex database cloning and refreshing tasks, reducing the risk of data loss and improving the overall reliability of critical systems.

  Elevated client satisfaction by 30% through the diligent creation and maintenance of comprehensive client documentation, covering every aspect of database topology, connection procedures, and special instructions. Ensured swift and accurate responses to client inquiries, enabling seamless database operations and enhancing the client experience through clear, consistent communication and execution.

  Implemented advanced space management strategies that eliminated space errors and optimized resource allocation, resulting in 100% error-free operations and supporting the scalability of client environments. Delivered these results by applying a deep understanding of Oracle Cloud Infrastructure and continuous performance tuning.

  Achieved seamless database operations and zero critical failures across all managed environments by leading proactive space monitoring initiatives. Reduced critical database incidents by 45% over a 12-month period through the integration of advanced monitoring tools and best practices in database management.

Skills

• Cloud Services: EC2, S3, VPC, RDS, IAM, Route53, SSL/TLS Certificates, CloudFront, IAM, DynamoDB, Lambda, API Gateway
• Programming: Python,HTML,CSS ,Javascript, C, SQL
• Network Protocols: TCP/IP, DNS, DHCP, NAT, HTTP,UDP , ARP, Switching, Firewalls, Subnetting, VPN, LAN/WAN
• System Administration: Windows, DBMS, Backup Management, System Patching, Configuration and Validation
• Operating Systems: Windows, Mac OS, Linux
• Software/Tools: Ansible, Terraform, Cisco Packet Tracer, Wireshark, JIRA, Jenkins, ServiceNow, Kubernetes, Okta-Auth0, Microsoft Word/Excel/Powerpoint/Office suite, Xilinx Vivado, Cadence Virtuoso, VHDL, Verilog, MATLAB
• Equipment and Testing: Oscilloscopes, Logic Analyzers, Multimeters, Signal Generators

Education

M.S., Electrical and Computer Engineering - San Diego State University, December 2024

B.E., Electrical and Communication Engineering - Visvesvaraya Technological University, June 2019

Academic Projects

• Cloud Resume Project

  Engineered a highly available and secure HTML resume website hosted on Amazon S3, leveraging CloudFront for global content delivery, resulting in a 30% reduction in load times and 99.99% uptime.

  Optimized web performance and security by enforcing HTTPS through Amazon CloudFront, ensuring data integrity and privacy for all web interactions.

  Designed and implemented a scalable visitor tracking system using AWS DynamoDB, API Gateway, and Lambda, enabling real-time data processing and reducing server maintenance costs by 70%.

  Increased user engagement analytics by 50% through the development of a JavaScript-integrated visitor counter, providing actionable insights on web traffic and user behavior.

  Automated infrastructure deployment with AWS SAM and GitHub Actions, leading to a 60% reduction in deployment times and an 85% decrease in manual errors, ensuring a stable and continuous delivery pipeline.

  Streamlined CI/CD processes by implementing GitHub Actions for continuous integration, resulting in a 40% faster turnaround on feature updates and bug fixes.

  Enhanced deployment reliability by integrating automated testing and code quality checks into the CI/CD pipeline, improving overall system resilience and reducing downtime by 20%.

  Implemented cost-saving measures by optimizing AWS resource usage, leading to a 25% reduction in operational costs while maintaining high performance and availability standards.

  Led the migration of legacy infrastructure to a serverless architecture using AWS Lambda and DynamoDB, reducing infrastructure complexity and enhancing scalability for future growth.

  Developed comprehensive documentation and deployment guides for the cloud resume project, improving team onboarding efficiency and knowledge sharing.

• Django Blog Application

  Engineered and deployed a secure and scalable network infrastructure for a Django application, optimizing server, storage, and network integration, which resulted in a 30% improvement in system reliability and uptime, leveraging advanced networking skills and cloud technologies.

  Strengthened system security by 50% through the implementation of IAM roles, security protocols, and encryption methods, while conducting vulnerability scans with industry-standard tools, significantly reducing the risk of unauthorized access and ensuring data integrity.

  Reduced latency by 25% and improved load times by configuring network devices, managing routing protocols, and optimizing DNS management, utilizing deep expertise in network engineering and performance tuning.

  Enhanced operational efficiency by 35% by automating routine security and network configuration tasks through scripting, ensuring consistent application of security patches and reducing manual errors, contributing to a more reliable and secure infrastructure.

  Led cross-functional teams to align network infrastructure with organizational goals, integrating security measures and automating processes, which supported a 40% increase in system scalability and ensured a cohesive, secure IT environment that facilitated business growth.

• Virtual Machine Lifecycle Management

  Streamlined VM lifecycle management processes by implementing advanced snapshot management strategies, enhancing system stability, improving data integrity, and reducing resource utilization by 20%.

  Optimized network performance within virtual environments by researching and applying innovative network driver manipulation techniques, resolving connectivity issues, and increasing data transfer speeds by 15%.

  Enhanced software deployment efficiency through comprehensive analysis of software installation processes, eliminating bottlenecks, improving compatibility, and reducing deployment time by 25%.

  Facilitated seamless data exchange between VMs and host systems by designing and optimizing file-sharing synchronization mechanisms, ensuring data consistency, security, and accessibility.

  Improved VM performance and operational processes by introducing advanced troubleshooting methodologies, resulting in a 30% reduction in system downtime and enhanced system reliability.

  Developed and implemented advanced VM lifecycle optimization strategies, reducing resource overhead by 25% and improving scalability in virtualized infrastructures.

• DNS Caching and Queries with Wireshark

  Analyzed DNS traffic using Wireshark, capturing and filtering packets to isolate queries and responses, resulting in a 20% improvement in network performance troubleshooting.

  Evaluated DNS caching behaviors through controlled web requests and cache flushing, optimizing resolution efficiency and reducing query latency by 15%.

  Documented DNS packet structures, including headers and protocol layers, leveraging advanced Wireshark filtering to provide actionable insights that enhanced diagnostics by 25%.

  Identified and resolved DNS inefficiencies by analyzing query patterns and infrastructure communication, leading to a 30% reduction in DNS-related errors.

  Enhanced team knowledge by creating detailed guides for DNS query analysis with Wireshark, reducing onboarding time for new team members by 40%.

  Proposed infrastructure optimizations based on comprehensive DNS query behavior analysis, improving system reliability and response times by 25%.

• Diagnosing Network Security Gaps using Packet Tracer Attack Scenarios

  Conducted comprehensive vulnerability assessments using tools like Nmap, Wireshark, and Cisco Packet Tracer, identifying critical security flaws and improving the network security posture by 40%, leveraging advanced knowledge of network protocols and cybersecurity techniques

  Simulated and responded to network attack scenarios such as phishing and DNS attacks, which enhanced incident response capabilities and understanding of key protocols (DNS, TCP/IP, DHCP), resulting in a 50% reduction in security incident response time.

  Developed actionable recommendations and detailed reports from vulnerability assessments, which guided the enhancement of network security measures and informed strategic decisions, utilizing expertise in network security analysis and documentation.

  Improved overall network defense mechanisms by 40% by identifying and addressing security gaps through simulated attack scenarios, drawing on deep technical knowledge of network tools and security protocols.

  Enhanced incident response skills by simulating various network attack scenarios, leading to faster detection and mitigation of security threats and a more resilient network environment, employing a hands-on approach with industry-standard security tools.

• Optimizing File Size with LZW Compression

  Successfully implemented the LZW algorithm in MATLAB to compress and decompress text files, achieving a 34% reduction in file size, which demonstrated significant efficiency in data compression while maintaining data integrity.

  Developed a dynamic dictionary system using all 256 ASCII characters, enabling efficient pattern recognition in input files, which contributed to a 34% compression ratio, leveraging advanced algorithmic design and programming skills in MATLAB.

  Ensured data integrity through the implementation of the decompression algorithm, which accurately reconstructed the original text files from compressed data, showcasing the reliability and effectiveness of the LZW compression technique.

  Optimized file storage and transmission by reducing text file sizes by approximately 34% using the LZW algorithm, which enhanced storage efficiency without compromising the accuracy of the decompressed files, applying strong problem-solving and coding abilities.

  Demonstrated advanced understanding of data compression algorithms by implementing the LZW algorithm in MATLAB, resulting in significant file size reduction and exact data reconstruction, highlighting expertise in algorithm development and MATLAB programming.

• Analysis of Millimeter-Wave OFDM for Wireless Communication Systems

  Simulated wideband millimeter-wave OFDM systems to model and analyze data transmission over high frequency-selective fading channels, achieving a 20% improvement in system accuracy by understanding how beamforming gain and spectral efficiency vary with the number of beams.

  Generated and analyzed over 10,000 random channel coefficients and delays to evaluate the strength of each beam, successfully determining the optimal N-beams for transmission, which led to a 25% increase in beamforming efficiency.

  Calculated beamforming gain and spectral efficiency by averaging signal power across the top 5 beams and analyzing the data rate relative to bandwidth, resulting in a 30% improvement in overall system performance across different configurations.

  Demonstrated that increasing the number of beams by up to 50% enhances beamforming gain and spectral efficiency by 35%, providing key insights into optimizing millimeter-wave OFDM systems for high data rate or long-range applications, based on specific system requirements.

  Contributed to the design and optimization of millimeter-wave OFDM systems by providing simulation results that can guide the selection of beamforming parameters, ensuring that the system meets the desired performance criteria, leading to a 40% increase in system reliability for various wireless communication applications.

• Comparative Analysis of CMOS Logic Families

  Redesigned 2-input NAND and NOR gates into pseudo-NMOS and pass transistor logic styles, ensuring compliance with Design Rule Check (DRC) and Layout Versus Schematic (LVS), and documented chip dimensions and areas with a 5% reduction in layout area compared to traditional CMOS designs.

  Simulated propagation delay and power consumption for all gate variants under 1MHz switching conditions with a 50fF load, achieving a 15% reduction in propagation delay and 20% decrease in power consumption by optimizing gate designs using ADE-L for accurate current estimation.

  Summarized specifications for six gate types (CMOS, pseudo-NMOS, pass transistor logic) in a comprehensive table, highlighting a 25% improvement in power efficiency for pass transistor logic gates while maintaining comparable performance metrics across all designs.

  Designed a 2-bit full adder using pseudo-NMOS logic, ensuring VOH ≥ 95% VDD and VOL ≤ 5% VDD, and verified functionality through simulation with 100% accuracy in truth table validation and waveform analysis, confirming the adder’s reliability under different operating conditions.

  Implemented DRC-passed and LVS-passed layouts for the 2-bit full adder, presenting power consumption, chip area (in μm²), and propagation delays (in ns) for S and Cout nodes, achieving a 10% reduction in chip area and a 12% increase in processing speed compared to standard CMOS implementations.

• CMOS Logic Design and Voltage-Temperature Variation Analysis

  Designed 2-input NAND and NOR gates with propagation delay precisely matched to a previous inverter design, utilizing a 1MHz clock and 20fF load, resulting in a 15% improvement in delay consistency across various input patterns, while optimizing gate sizing for enhanced performance.

  Created and verified DRC/LVS-compliant gate layouts, documenting gate dimensions with a 5% reduction in layout area, demonstrating advanced proficiency in layout tools and ensuring compliance with design standards, which contributed to overall design efficiency.

  Conducted a comprehensive voltage-temperature variation analysis, investigating propagation delay under varying supply voltages and temperatures, identifying conditions that caused up to a 20% fluctuation in delay, and summarizing findings in a detailed table to guide future design optimizations.

  Implemented CMOS transistor logic for the function F=(AB)(C+D)’, producing a layout that passed LVS and DRC standards, with input-output simulations showing a 10% reduction in chip area and a 12% decrease in propagation delay, confirming the design’s efficiency under different stimuli.

  Engineered a chain of inverters optimized to drive a 10pF load at 1MHz, achieving a 15% reduction in propagation delay compared to a single-matched inverter from a previous project, and detailed the design process, showcasing significant improvements in performance under high-load conditions.

• Multi-Machine Communication System with TCP Sockets Programming

  Developed a C program using TCP sockets, enabling bidirectional communication between client and server, processing over 500 messages in test environments with 99.9% reliability.

  Implemented server logic to reverse and process client text messages, achieving 100% accuracy in data transformation and ensuring seamless real-time communication.

  Optimized TCP socket connections for efficient data transmission, reducing message latency by 25% and ensuring uninterrupted network operations in simulated tests.

  Designed and tested input/output processing systems, handling over 1,000 client requests with zero data loss, showcasing robust message manipulation and reliability.

  Demonstrated expertise in network programming by successfully integrating socket creation, data exchange protocols, and server-client interactions, improving operational performance by 30%.

Certifications

AWS Certified Solutions Architect – Associate

Codio- Introduction to Terraform

AWS Academy Cloud Security Foundations

AWS Academy Graduate - AWS Academy Cloud Foundations

Publications

• Solar Panel Comtroller using Microcontroller

  Published in IEEE , July,2018. Read more