# Mathang Peddi > Software Engineer Intern at The Home Depot | Ex - Juniper, Citrix | MSCS, GRA at GSU | BTech at PESU Location: Sunnyvale, California, United States Profile: https://flows.cv/mathang I recently graduated with a Master of Science in Computer Science from Georgia State University and currently work as a Software Engineer at iTradeNetwork, where I build AI-driven and scalable backend systems for real-world enterprise workflows. Previously, I worked at The Home Depot, Juniper Networks, and Citrix Systems, gaining hands-on experience in designing high-performance systems, building microservices, and delivering impactful features at scale. With 4+ years of experience, I specialize in backend and full-stack development (Java, Spring Boot, Node.js, React, AWS, Kafka), along with strong expertise in distributed systems, cloud infrastructure, and applied AI/LLMs. I’m passionate about building scalable, reliable, and intelligent systems that solve real-world problems and drive measurable impact. Portfolio: https://mathangpeddi.netlify.app/ Github: https://github.com/mathangpeddi Email: mathang0612@gmail.com ## Work Experience ### Software Engineer @ iTradeNetwork, Inc. Jan 2026 – Present | Pleasanton, CA • Built an AI-powered document ingestion agent that automatically parses uploaded files and generates purchase orders within the Order Management System (OMS), reducing manual processing effort and improving order handling time by ~45% • Designed and implemented Spring Boot microservices with RESTful APIs and Hibernate ORM, optimizing database indexing strategies and connection pooling to reduce API latency by 40% and improve service responsiveness ### Software Engineer Intern @ The Home Depot Jan 2025 – Jan 2025 | Atlanta, GA • Designed and implemented an LLM evaluation framework using LangSmith, OpenRAG-Eval, and Azure OpenAI to systematically benchmark model responses across 1,500+ queries per evaluation cycle, identifying grounding gaps, retrieval failures, and hallucination patterns • Developed automated evaluation pipelines incorporating metrics such as UMBRELA, AutoNugget, Citation Support, and Precision/Recall to measure retrieval relevance, contextual alignment, and citation validity in RAG-based systems • Built scalable data processing pipelines on GCP using BigQuery and Vertex AI, reducing end-to-end analysis time from ~5 hours to under 30 minutes and enabling rapid iteration on model evaluation experiments • Accelerated backend engineering workflows using AI-assisted development tools (Cursor, Claude) for code generation, debugging, and refactoring, improving development velocity and reducing implementation time by ~60%. ### Software Engineer Intern @ Juniper Networks Jan 2025 – Jan 2025 | Sunnyvale, CA • Built and maintained high-performance Golang backend APIs powering 20+ security and application monitoring dashboard widgets, designing custom Elasticsearch queries capable of analyzing 300GB+ telemetry datasets with sub-2 second response times. • Modernized backend infrastructure by refactoring 40+ Go microservices and migrating APIs to gRPC, strengthening service-to-service communication, addressing security vulnerabilities, and ensuring FIPS 140 compliant builds using Bazel • Crafted robust backend services for SRX firewall management, processing \textbf{5,000+} configuration changes daily with high throughput and reliability across hybrid networks • Improved scalability of distributed services by implementing data partitioning and sharding strategies, enabling horizontal scaling across multiple nodes and supporting a 3× increase in telemetry ingestion without performance degradation ### Research Analyst @ Evidence-Based Cybersecurity Research Group Jan 2024 – Jan 2025 | Atlanta, GA • Built a Natural Language → SQL querying system using Google Generative AI embeddings and a Chroma vector store, enabling non-technical users to retrieve database insights through plain-English queries with dynamic table selection and contextual query memory • Developed an AI-powered research analysis tool using the OpenAI API to automatically scan academic papers, detect methodological issues, and surface potential weaknesses, improving peer-review acceptance rates by ~15% across conference submissions • Implemented CI/CD automation with GitHub Actions and a real-time monitoring dashboard to analyze pull requests, flag potential issues, and provide visual insights for developers, enabling team-wide adoption and production-ready workflows • Designed and trained a Named Entity Recognition (NER) pipeline to extract entities such as contracts, organizations, and key dates from user queries, significantly improving search accuracy and contextual relevance in downstream retrieval systems ### Software Engineer @ Citrix Jan 2022 – Jan 2023 | Bengaluru • Engineered the Activity Manager module for Citrix Workspace, a centralized session monitoring system adopted by 3,000+ enterprise customers, contributing to $750K+ in revenue growth by improving observability and operational efficiency • Developed a workspace scheduling feature that automates desktop lifecycle management, reducing unnecessary cloud VM usage and operational costs; the solution won 1st place at a company-wide hackathon • Built and deployed production-grade Workspace UI modules using Next.js, Vue.js, Tailwind CSS, Node.js, MongoDB, and MySQL, enabling modular frontend architecture and seamless backend integration through event-driven services • Improved frontend performance of Citrix Workspace by implementing Redux Toolkit, React Query, memoization, lazy loading, debouncing, and service workers, reducing component render time by 50% and improving perceived page load speed to ~0.5s (80% faster) ### Contributing Writer @ Medium Jan 2020 – Jan 2020 Authored blogs on Data Science and Machine Learning, sharing insights and advancements in the field. Published on Medium with recognition from KD Nuggets My published blogs can be found at this link - https://medium.com/@mathangpeddi ### Web Developer Intern @ PES Innovation Lab Jan 2020 – Jan 2020 Worked on a project to simulate the step-by-step working of common algorithms such as Searching, Sorting Algorithms, and Machine Learning techniques such as Linear Regression, K-Nearest Neighbours, K Means Clustering. http://algo-vizz.herokuapp.com/ ## Education ### Master of Science - MS in Computer Science Georgia State University ### Bachelor of Technology - BTech in Computer Science Engineering PES University ### Intermediate FIITJEE ### Schooling Delhi Public School Secunderabad ## Contact & Social - LinkedIn: https://linkedin.com/in/mathangpeddi - Portfolio: https://mathangpeddi.netlify.app --- Source: https://flows.cv/mathang JSON Resume: https://flows.cv/mathang/resume.json Last updated: 2026-04-11