Mr Tg

Architected Multi-Agent Systems: Engineered robust, stateful AI workflows utilizing LangGraph and LangChain, automating complex processes and reducing manual intervention by over 90%.

Model Agnostic Integration: Designed scalable data pipelines that flexibly interface with various State-of-the-Art Large Language Models (LLMs), optimizing for strict cost efficiency and sub-second latency requirements.

Deterministic Structured Outputs: Overcame LLM hallucination limits by enforcing strict schema adherence using Pydantic, ensuring 100% reliable JSON outputs for downstream processing.

Independent AI Projects Builder - Independent

(2026-01)

• Architected Multi-Agent Systems: Engineered robust, stateful AI workflows utilizing LangGraph and LangChain, automating complex processes and reducing manual intervention by over 90%.
• Model Agnostic Integration: Designed scalable data pipelines that flexibly interface with various State-of-the-Art Large Language Models (LLMs), optimizing for strict cost efficiency and sub-second latency requirements.
• Deterministic Structured Outputs: Overcame LLM hallucination limits by enforcing strict schema adherence using Pydantic, ensuring 100% reliable JSON outputs for downstream processing.

Bachelor of Technology - Computer Science Engineering - Shiv Nadar University (2024-08 - 2028-05)