Atal Bhatia
@atalbhatia
I build production agentic AI, conversational platforms, and computer vision systems using Python and LLMs.
What I'm looking for
At Sears Global Technologies, I build production Agentic AI systems including Jessica, a voice-first home concierge using OpenAI Realtime and FastAPI, with seamless mid-call agent handoffs and contextual data conditioning. I also developed a LangChain and RAG framework that generates repair technician reports from unstructured logs using FAISS, LLM chains, and FastAPI.
Previously at NoBroker, I led development of the Callzen.ai conversational platform for call audits, agent-performance assessment, real-time transcript analysis, intent detection, and contextual evaluation. I've optimized conformer models, built a Transformer-based NER model, delivered 20+ Tornado APIs, and created Streamlit interfaces for model optimization and hyperparameter tuning.
Experience
Work history, roles, and key accomplishments
Data Scientist
Sears Global Technologies
Sep 2024 - Present (2 years)
Developed a real-time voice AI system and a multi-agent framework for automated report generation. Designed a web scheduler agent using LLMs for natural language-driven bookings.
Education
Degrees, certifications, and relevant coursework
Indian Institute of Technology, Guwahati
Bachelor of Technology, Engineering
Pursued a Bachelor of Technology degree at the Indian Institute of Technology, Guwahati, graduating in 2023.
Availability
Location
Authorized to work in
Job categories
Skills
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