Santhosh User
@santhoshuser3
I build production-ready GenAI systems, RAG pipelines, and autonomous AI workflows.
What I'm looking for
I've built end-to-end GenAI applications including an Advanced RAG Document Intelligence platform that lets users chat with PDFs and Markdown using local and cloud LLMs. I designed its LangChain pipeline, ChromaDB vector storage, Streamlit interface, source citations, and persistent architecture to improve reliability and reduce reprocessing overhead.
During my AWS internship at Cognizant, I developed a Credit Management System with Lambda, S3, DynamoDB, AWS Glue, and PySpark ETL workflows. I've also built stateful LangGraph agents with tool calling and memory persistence, and an AI-assisted portable ECG analyzer that achieved 94.2% classification accuracy with sub-2-second latency.
Experience
Work history, roles, and key accomplishments
Gained hands-on experience in Python, SQL, PySpark, and ETL pipelines, applying data engineering concepts in real-world scenarios. Developed a Credit Management System using AWS services and designed ETL pipelines with AWS Glue and PySpark.
Developed an Employee Salary Classification and Career Roadmap System using Python and Scikit-learn, achieving 85%+ accuracy. Designed a recommendation component for personalized career growth insights.
Education
Degrees, certifications, and relevant coursework
Panimalar Engineering College
Bachelor of Engineering, Electrical and Electronics Engineering
2022 -
Grade: 8.9/10
Pursuing a Bachelor of Engineering in Electrical and Electronics Engineering with a CGPA of 8.9/10.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Portfolio
github.com/santhosh468Job categories
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