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Gautam Sharma

@gautamsharma2

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AI engineer building real-time voice bots and spatiotemporal ML systems.

India

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What I'm looking for

I’m looking for a role where I can build production-grade AI—especially real-time voice and NLP—paired with strong backend fundamentals, modern cloud practices, and a team that values low-latency, scalable systems.

I’m an AI engineer focused on shipping practical intelligence end-to-end—from model and orchestration to latency-critical, real-time experiences. In my internship, I built an outbound AI voice chatbot and replaced a rule-based IVR with a natural language voice agent architecture designed to scale.

I care about reliability and responsiveness in production. I integrated a live AI voice pipeline using Deepgram (STT), OpenAI (LLM), and Cartesia (TTS) with a LiveKit-based telephony setup, and designed WebSocket streaming for audio chunking, buffering, and turn-taking to maintain sub-500ms response times during live calls.

I also build data products and developer-ready tools. My projects include a multi-source AQI ingestion and forecasting pipeline with Airflow and TimescaleDB, a pollution explanation + health advisory system using the Claude API, and a local-first CLI that distills long LLM sessions into portable context snapshots so work can carry across platforms.

Experience

Work history, roles, and key accomplishments

AI Engineer Intern

Albertsons International Pvt. Limited

Nov 2025 - Jan 2026 (2 months)

Built a FastAPI outbound voice chatbot using Exotel that automated personalized customer calls at scale, eliminating manual call handling across the support pipeline. Integrated a real-time AI voice stack (Deepgram STT, OpenAI LLM, Cartesia TTS) on a LiveKit telephony architecture and designed a low-latency WebSocket streaming layer to maintain sub-500ms responses during live conversations.

fastAPI WebSockets Deepgram LLM Cartesia LiveKit AI Voice Automation

Education

Degrees, certifications, and relevant coursework

Bangalore Institute of Technology

Bachelor of Engineering (B.E.), Information Science and Engineering

2023 - 2027

Grade: CGPA: 7.5

Pursuing a B.E. in Information Science and Engineering. Coursework includes data structures and algorithms, operating systems, DBMS, computer networks, and OOP.