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pradyten/README.md

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I build AI systems that automate complex enterprise workflows, from multi-agent pipelines to document processing. Research-backed, production-tested, and always shipping with measurable results.

Tech Stack

LLM & GenAI

Claude GPT-4 Gemini Mistral LangChain LangGraph RAG Pinecone

ML & NLP

PyTorch TensorFlow Hugging Face scikit-learn spaCy

Cloud & Infra

AWS Bedrock Lambda Step Functions SageMaker Docker Vercel

Engineering

Python TypeScript FastAPI Streamlit PostgreSQL Pydantic

Featured Projects

Multi-agent pipeline (Claude, Gemini, Tavily) with a 3-phase writing chain and self-improving hooks. Aggregates 14 news sources into publish-ready content.

Claude Gemini Tavily LangGraph Vercel

Live Demo


GPT-4.1 Vision PDF extraction supporting 12 document types with JSON schema enforcement. Handles invoices, medical records, contracts, and more.

GPT-4.1 Streamlit Pydantic

Live Demo


Multi-LLM system (Claude + GPT-4o-mini + Gemini) for legal practice area classification. Consensus-based routing across 50+ practice areas.

Claude GPT-4o Gemini Vercel

Live Demo


Full-stack RAG with a 6-node LangGraph pipeline, dual-layer confidence scoring, and Mistral fallback. Built for legal document analysis at scale.

LangGraph Pinecone FastAPI Railway

Live Demo

Experience

Role Company Impact Stack
AI Engineer CrossingLegal Reduced H-1B processing from 5 days to 10 minutes AWS Step Functions, Lambda, Bedrock, Claude API, RAG, Titan Embeddings, Pydantic
AI Engineer Intern Boredm LLC Fine-tuned GPT for 58-entity NER, 99.1% accuracy OpenAI API, Pydantic, Python, TypeScript
Research Assistant WPI Published at AMCIS 2025, 0.94 cosine similarity GPT-4, Gensim, NLTK, scikit-learn, Playwright
AI Engineer Intern SmartStream 99% NER accuracy, 80% faster extraction AWS Textract, SageMaker, Comprehend

Publications

  • AMCIS 2025 - Zero-shot summarization framework using GPT-4 for qualitative research synthesis. Achieved 0.94 cosine similarity with human-authored summaries.
  • ICFAiSE 2025 - Water turbidity prediction using LSTM with attention mechanisms. R² of 0.98 on real-world environmental data.

Other Projects

Environmental & Geospatial

Computer Vision & Emotion AI

Healthcare & IoT

NLP & Text Analytics

Data Science Collections

Coding & Algorithms

GitHub Stats

GitHub Trophies



GitHub Stats GitHub Streak
Top Languages



Activity Graph


Let's build something that ships.


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