Headline

AI/ML Engineer | LLM • LangGraph • AWS Bedrock • Voice AI • RAG • Node.js • Python | Building production AI systems | Bangalore

About

I build production AI systems that real users interact with every day. My recent work spans LLM-powered voice booking engines, real-time service tracking platforms, recommendation engines, and safety-critical classifiers — all shipped to production and actively used. Some things I've built: → A 9-stage LLM pipeline (AWS Bedrock + LangGraph) handling guardrails, intent classification, emotion detection, and crisis safety gating — with 145+ passing tests → A 4-phase recommendation engine with geo-ranking, user affinity scoring, and Redis caching, including the full React Native UI → Real-time voice AI agents (STT/TTS/VAD + SIP telephony) deployed at scale, with RAG pipelines that reduced API latency by ~40% → A Qwen 2.5 fine-tuning pipeline built end-to-end: 13,000 labelled training rows, Excel-to-JSONL converter, live validation suite I work across the stack — Python and TypeScript backends, Node.js APIs, React Native frontends, AWS and Azure infrastructure — and I'm comfortable owning features independently from architecture to deployment. Stack: Python • TypeScript • AWS Bedrock • LangGraph • Node.js • FastAPI • Redis • React Native • Docker • RAG • Voice AI • LLMs 📍 Bangalore | Open to AI Engineer, GenAI Engineer, Backend, SDE roles 📩 shubhak604@gmail.com

Location

Greater Bengaluru Area

AI stack

gemini

hugging face

langchain

openai

Work experience

AI ML Engineer at Yugasys Software Private Limited, Feb 2026 - Present · 5 mos, Bengaluru South

Associate Software Engineer at tvam Technologies Pvt Ltd, Jan 2025 - Jan 2026 · 1 yr 1 mo, Bengaluru

Software Engineer Intern at Avana Software, Jul 2024 - Dec 2024 · 6 mos, Bengaluru

Education

Bachelor of Engineering, Electrical, Electronics and Communications Engineering, nitte meenakshi institute of technology

12th grade, Pcmb, Alvas pre university