Senior Software Engineer Microservices & Security-focused
Resume:
***************@*****.***
San Francisco Bay Area, CA
SaiKiran Sundara
GitHub
Portfolio
Summary:
Software Engineer skilled in building applications using various frameworks and languages. Experienced in micro services, server optimization, security implementation, and maintaining zero downtime. Work Experience:
Research Engineer, San Jose State University May 2025 – Present
Working on an AI agent for plant disease detection using Retrieval-Augmented Generation (RAG) to provide accurate disease insights and treatment recommendations from agricultural datasets. Software Engineer, Walmart Jun 2022 – Dec 2023
- Capgemini
Engineered an enterprise-scale Asset Management System with security-first design, safeguarding 10M+ assets across Walmart’s global supply chain against misconfigurations, insider threats, and data leakage.
Built and maintained microservices with Spring Cloud integrated with RBAC, API gateways, and secure token-based authentication
Improved system resilience to adversarial load and abuse by optimizing APIs, introducing Redis-backed caching for request throttling, and applying L4/L7 networking policies for DDoS mitigation and traffic shaping.
Deployed containerized services using Docker, Azure DevOps, Kubernetes Service (AKS), and Container Registry, achieving 99% uptime.
Applied Open Telemetry and Azure Monitor for observability, SecOps, Async I/O, profiling improving tracing Software Engineer, Adobe
- Capgemini
Built front-end modules for the Adobe Partner’s Portal using React, TypeScript, and Tailwind CSS, improving UI performance and partner satisfaction across 50K+ global users.
Worked on scalable and secure C# ASP.NET Core Web APIs and .NET 7 Worker Services to handle high-volume background processing
(500K+ jobs/day) including license tracking, entitlement sync, and audit logging.
Practiced Test-Driven Development (TDD) using xUnit and Moq, improving code coverage and reducing production bugs significantly.
Secured critical APIs using OAuth 2.0, RBAC, and Azure Active Directory, ensuring compliance with enterprise-grade access policies. Associate Software Engineer, Capgemini Jan 2022 – Jun 2022
Developed widgets using WinUI, MVVM + XAML implementing Fluent Design for desktop/windows applications
Used Linux perf,Cron jobs to profile C++ services, reducing latency by 30% through hotspot and cache miss optimization. Software Engineer Intern, Capgemini Jan 2021 – Dec 2021
Developed HRBP and Payroll portals using Angular and Node.js, enabling employee self-service, RBAC and secure payroll data processing.
Built a client-facing web portal with Angular UI and Node.js REST APIs, integrating authentication, data validation, and workflow automation to streamline operations.
Skills:
Languages: C/C++, C#, ASP .NET, Python 3, Go, Java, JavaScript, HTML/CSS, SQL, Postgres, Cosmos DB Cloud & Tools: React.js, Node.js, Redis, AWS, Git, MySQL, MongoDB, Oracle DB, Ansible, Terraform, Kubernetes, Argo CD, WinRT, XAML, WPT, WPA, Azure Compute, Functions, Azure Storage, Sharepoint, OneDrive, TCP, UDP Machine Learning & AI: PyTorch, Neural Networks, Agentic AI, MCP, core AI, ML Flow, LLM, LangChain, Kernel Projects:
HPC Distributed Data Analysis and Prediction System
A high-performance computing system for California airflow prediction using C++, CUDA, gRPC, OpenMP using SJSU GPU’s A. Eye – AI powered diagnosis app PyTorch, Deep Neural Networks, AI Agents
Designed a multimodal AI system using Gemini Pro, Open AI Whisper to interpret transcribed speech, extract content and provide seamless voice interaction agent using Text-to-Speech (TTS) API’s and LangChain ScrollDown
Microblogging web app with fraudulent tweet detection, tweet summary suggestion, translation using Gen AI, LLM’s, Achievements:
Received Star of the Month Award for developing 3 critical sprint releases on time and monitored 8 hours deployment phase. AWS cloud practitioner, Azure- AZ900, Machine Learning, Deep Learning Specialization – Coursera Education:
San Jose State University, Master of Science (MS), Computer Software Engineering Aug 2023 – May 2025 Coursework: Enterprise App development, Enterprise Distributed Systems, Deep Learning, Machine Learning Activities: Teaching Assistant for Python classes, Peer Mentor, Student Ambassador for Adobe, Perplexity
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