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.
Hi, I'm AMARJIT JHA.
I am Amarjit Jha, an MCA Data Science & Analytics student based in Pune. I build production-ready AI and ML systems with a focus on MLOps, agentic AI, and explainable machine learning. I recently won the Best Generative AI Project Award at Seamedu Awards 2026 for MarathiVani and am actively seeking full-time roles or internships in Data Science, AI, and ML.

Focused on production AI systems, MLOps, and explainable machine learning
I'm an MCA Data Science & Analytics student based in Pune. I build production AI/ML systems that are designed to be useful, explainable, and deployable in the real world.
My recent work spans production MLOps for credit risk, fully local agentic AI, and award-winning generative AI for regional-language education. I care about interfaces, but I care more about whether the model actually helps users.
I won the Best Generative AI Project Award at Seamedu Awards 2026 for MarathiVani and I'm currently seeking full-time roles or internships in Data Science, AI, and ML.
The projects that best match my resume and current focus areas
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.
Selected AI, MLOps, and analytics work from the resume
Hugging Face Spaces / Seamedu Awards 2026
Built a multimodal GenAI tutor for rural Maharashtra students that generates Marathi explanations, educational diagrams, and voice-overs in one workflow.
Personal Project
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
Developed a privacy-first autonomous data analyst that converts natural language into pandas analysis, insights, and visualizations on large datasets.
Seamedu Awards 2026
Analyzed Pune AQI trends from 2017-2024 using time-series forecasting and public-health-focused visual analytics.
Active engineering and research areas
Ongoing structural analysis and feasibility studies for handling massive meteorological datasets.
Research into predictive modeling for severe weather events.
Active development on logistics and supply chain prediction algorithms.
Extracurricular engineering achievements
Open-source contributor
Competitive technical event participant
AI architecture and buildathon participant
I'm open to Data Science, AI, and ML roles where I can build deployable models, explainable systems, and practical user-facing tools.