About
I build reliable AI native systems that connect models, data, workflows, and users in production. Over 5+ years in software engineering, I have worked across production LLM applications, retrieval-augmented generation, AI agents, distributed backend platforms, and fullstack product development. My recent work improved candidate matching quality by 35% and reduced hiring time by 40%. Earlier, I helped build event driven platforms processing 50M+ events per day with 99.95% reliability. My core areas of expertise include: • Production LLM applications and AI platforms • RAG, embeddings, vector search, ranking, and retrieval evaluation • Agentic workflows, tool calling, persistent state, and human approvals • Python, FastAPI, Node.js, TypeScript, React, and Next.js • PostgreSQL, Redis, Kafka, and asynchronous processing • LLM evaluation, guardrails, prompt-injection protection, and output validation • OpenTelemetry, distributed tracing, structured logging, and observability • Cloud-native architecture, Docker, Kubernetes, CI/CD, RBAC, and audit logging I work across the complete engineering lifecycle: turning ambiguous product problems into system designs, defining APIs and data models, building backend and user-facing workflows, evaluating AI quality, reviewing generated code, and operating services under real traffic. My engineering approach prioritizes measurable outcomes, reliability, security, maintainability, and production readiness. I am particularly interested in senior AI engineering roles involving applied AI platforms, generative AI infrastructure, retrieval systems, agentic workflows, and distributed backend ownership. M.S. in Computer Science, New Jersey Institute of Technology. Email: siddharth.kundu95@gmail.com GitHub: github.com/sid995
Work experience
Member of Technical Staff at Stealth Startup, Aug 2026 - Present · 2 mos, Bengaluru, AI Security
Software Engineer at SeekLab, Sep 2025 - Mar 2026 · 7 mos, United States
Software Engineering Fellow at Headstarter, Jul 2024 - Sep 2024 · 3 mos, United States, • Built 5+ AI apps and APIs using NextJS, OpenAI, Pinecone, StripeAPI with 96% accuracy as seen by 1000 users. • Developed projects from design to deployment leading 2+ engineering fellows using MVC design patterns. • Coached by Amazon, Bloomberg, and Capital One engineers on Agile, CI/CD, Git and microservice patterns.
Professional development at Career Break, Aug 2023 - May 2025 · 1 yr 10 mos, New Jersey, United States, Pursued and completed my Masters in Computer Science from NJIT
Senior Software Engineer at DotPe, Mar 2021 - Feb 2023 · 2 yrs, Gurugram
Education
Master of Science - MS, Computer Science, New Jersey Institute of Technology
Bachelor of Technology (B.Tech.), Computer Science and Engineering, Maharshi Dayanand University (MDU), Rohtak
