AI Engineer
AI Engineer focused on production-grade autonomous multi-agent systems, agentic workflow orchestration and scalable LLM application architecture. Builds full-stack AI platforms using OpenAI and Anthropic Claude tool calling, RAG pipelines, custom function execution and deterministic agent state machines.
Incode Vision
June 2026 - July 2026 · Chennai, India
Built production machine learning pipelines in Python using scikit-learn and TensorFlow; developed NLP text analytics modules for semantic entities and sentiment indicators; designed schema evaluation protocols and automated validation checks to prevent data drift before model ingestion.
Gyankamao
December 2024 - June 2026 · Odisha, India
Designed automated lead distribution workflows and newsletter conversion funnels; built programmatic email delivery and targeted promotional pipelines; used data analytics to improve user lifecycle conversion rates.
Bachelor of Technology, Artificial Intelligence and Machine Learning
Expected May 2028
Full-stack stateful simulation engine built with Python and Next.js, using custom tool-calling agents, structured JSON schemas, Vercel, Supabase and PostgreSQL to manage continuous agent state transitions.
End-to-end multi-agent workflow in Python and FastAPI automating lead enrichment, company profiling, web research, personalized outreach drafting and meeting scheduling through function calling and REST API webhooks.
Multi-modal disaster coordination platform using Python, FastAPI, Next.js, vector embeddings and semantic search to aggregate risk signals, match emergency queries with inventory data and generate prioritized response protocols.
Computational bio-simulation environment using deep learning models and data ingestion pipelines to predict nanoparticle toxicity profiles before laboratory synthesis.
Automated trust-scoring system using LLMs, NLP, vector search and PostgreSQL to identify fake review patterns, seller manipulation tactics and anomalous customer feedback consensus.