FinRisk AI - Production MLOps Credit Risk System
Built a complete end-to-end MLOps pipeline for credit default prediction with real-time drift monitoring and sub-millisecond inference.
Selected projects that define my resume
Hugging Face Spaces / Seamedu Awards 2026
Pune, Maharashtra, India
Built a multimodal GenAI tutor for rural Maharashtra students that generates Marathi explanations, educational diagrams, and voice-overs in one workflow.
Personal Project
Pune, Maharashtra, India
Built an end-to-end MLOps pipeline for credit default prediction using alternative behavioral and financial features for New-To-Credit applicants.
Local / Streamlit + FastAPI
Pune, Maharashtra, India
Developed a privacy-first autonomous data analyst that converts natural language into pandas analysis, insights, and visualizations on large datasets.
Seamedu Awards 2026
Pune, Maharashtra, India
Analyzed Pune AQI trends from 2017-2024 using time-series forecasting and public-health-focused visual analytics.
Selected work showcasing MLOps, agentic AI, and full-stack development
Built a complete end-to-end MLOps pipeline for credit default prediction with real-time drift monitoring and sub-millisecond inference.
A fully local, privacy-first autonomous agent that converts natural language queries into pandas analysis and visualizations.
Designed and deployed a multimodal GenAI system that generates accurate Marathi explanations and natural voice-overs.
Developed a deep learning model achieving 89.6% validation accuracy for detecting diseases in soybean and sugarcane crops.
The technologies and tools I work with
Academic background and key achievements
Data Science & Analytics
Ajeenkya DY Patil University
Computer Applications
St. Edmunds' College
Seamedu Awards 2026
Awarded for MarathiVani (Multimodal AI Tutor)
Extracurricular engineering achievements
Open-source contributor
Competitive technical event participant
AI architecture and buildathon participant
I'm seeking full-time roles or internship opportunities where I can contribute to production AI systems, MLOps workflows, and data-driven products.