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Shubha889/README.md

Hi, I'm Shubha K 👋

AI/ML Engineer based in Bangalore, India — building production-grade LLM systems, voice AI pipelines, and real-time backends.


What I build

I work across the full AI stack: from fine-tuning open-source LLMs and building multi-turn voice booking engines to shipping real-time tracking systems used by live users. My work lives in production — not in notebooks.

Current focus: LLM pipelines · Voice AI · AWS Bedrock · LangGraph · RAG systems


Featured Projects

Repo What it does Stack
🤖 qwen-fine-tuning-pipeline Fine-tuned Qwen 2.5 for intent classification across 5 service categories — 13K labeled rows, PEFT/LoRA, full validation suite Python · Hugging Face · PEFT · Pandas · Qwen 2.5
🎙️ llm-voice-booking-engine Multi-turn voice booking engine with 9-stage LLM pipeline and LangGraph state machines on AWS Bedrock Python · LangGraph · AWS Bedrock · WebSocket · FastAPI
🛡️ crisis-detection-classifier Two-layer crisis detection (regex + LLM fallback) with safety gate and emotion/tone engine — 145+ tests passing Python · PyTorch · AWS Bedrock · FastAPI · pytest

Tech Stack

AI/ML          AWS Bedrock (Claude) · LangGraph · Qwen 2.5 fine-tuning · Hugging Face PEFT
               RAG pipelines · Intent Classification · Emotion Detection · NLP
               PyTorch · TensorFlow · Whisper STT · TTS · VAD · ElevenLabs

Voice AI       LiveKit · SIP Telephony · librosa · torchaudio · ElevenLabs

Backend        Node.js · TypeScript · FastAPI · Flask · Socket.io · Redis · REST APIs
               WebSocket · Zod · Async Programming · PM2

Frontend       React Native · Expo · Context API · Expo Push Notifications

Cloud/DevOps   AWS (Bedrock · RDS · CloudWatch · S3) · Azure · Docker · GitHub Actions

Work Experience

Associate AI/ML Engineer @ Yugasys Software (HeiBuddy AI) · Feb 2026 – Present

  • Shipped multi-turn LLM voice booking engine on AWS Bedrock with 9-stage processing pipeline
  • Built 4-phase Recommendation Engine with user affinity scoring, geo-ranking, and Redis caching
  • Implemented two-layer Crisis Detection + Emotion & Tone Engine with 145+ passing tests
  • Built Qwen 2.5 fine-tuning pipeline — 13K labeled rows, Excel-to-JSONL converter, validation suite

Associate Software Developer – AI/ML @ TVAM Technologies · Jan 2025 – Jan 2026

  • Built real-time voice AI pipelines: Whisper STT + TTS + VAD + SIP telephony for 1,000+ merchants
  • Designed RAG retrieval system with Redis caching — reduced API latency by ~40%
  • Deployed LiveKit for real-time audio on Azure; containerized with Docker + GitHub Actions

Connect

LinkedIn Email

Pinned Loading

  1. crisis-detection-classifier crisis-detection-classifier Public

  2. llm-voice-booking-engine llm-voice-booking-engine Public

  3. qwen-fine-tuning-pipeline qwen-fine-tuning-pipeline Public