Preetham P
@preethamp
I build production RAG systems and AI-powered full-stack applications.
What I'm looking for
I've built a production Finance RAG system across 9,155 pages and 33,229 chunks, reaching a 100% answer rate, 0.822 retrieval relevance, and 0% hallucination in RAGAS evaluation. I delivered hybrid dense and BM25 retrieval, table-aware document parsing, and a provider-agnostic LLM client through FastAPI and Streamlit.
At MindsetIT, I developed Python ML pipelines and Flask REST services, benchmarked classification models, and shipped an AI Career Path Portal with live inference and MySQL. I also build deep-learning computer vision projects and data science solutions, including a medicinal plant classifier with 94% test accuracy and a PowerCo churn model.
Experience
Work history, roles, and key accomplishments
AI/ML & Full Stack Python Developer Intern
MindsetIT
Feb 2026 - May 2026 (3 months)
Developed and maintained Python modules for ML pipelines and Flask-based REST services; authored test plans that validated model accuracy and API functionality. Trained and benchmarked four classification algorithms and built a Flask-based AI Career Path Portal with a live ML inference engine and MySQL backend.
Education
Degrees, certifications, and relevant coursework
Vidya Vikas Institute of Engineering and Technology
Master of Computer Applications, Computer Applications
Grade: CGPA: 7.4
Pursuing Master of Computer Applications with a CGPA of 7.4.
Availability
Location
Authorized to work in
Portfolio
github.com/preetham789/finance-ragJob categories
Skills
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