Amarjit Jha

AI / ML ENGINEER & DATA SCIENTIST

Project Experience

Selected projects that define my resume

MarathiVani - Generative AI Tutor

Hugging Face Spaces / Seamedu Awards 2026

Pune, Maharashtra, India

Dec 1, 2025 - Jan 1, 2026

Built a multimodal GenAI tutor for rural Maharashtra students that generates Marathi explanations, educational diagrams, and voice-overs in one workflow.

Key Achievements:

  • Won Best Generative AI Project Award at Seamedu Awards 2026
  • Deployed a culturally relevant multimodal tutor on Hugging Face Spaces
  • Designed for low-resource, high-impact education in regional language contexts
Llama 3.1GroqFLUX.1gTTSGradioHugging Face Spaces

FinRisk AI - Production-Grade Credit Risk MLOps System

Personal Project

Pune, Maharashtra, India

Jan 1, 2025 - Feb 1, 2025

Built an end-to-end MLOps pipeline for credit default prediction using alternative behavioral and financial features for New-To-Credit applicants.

Key Achievements:

  • Implemented MLflow experiment tracking, Optuna tuning, shadow deployment, and drift monitoring
  • Delivered transparent decisions with FastAPI and SHAP-based explanations
  • Deployed the system to Azure with CI/CD via GitHub Actions
FastAPILightGBMSHAPMLflowDockerAzureStreamlitEvidently AI

Autonomous Data Analyst Agent

Local / Streamlit + FastAPI

Pune, Maharashtra, India

Jan 1, 2025 - Feb 1, 2025

Developed a privacy-first autonomous data analyst that converts natural language into pandas analysis, insights, and visualizations on large datasets.

Key Achievements:

  • Designed LangGraph stateful workflows with tool-calling and sandboxed code execution
  • Enabled fully local usage with Ollama and no external API keys
  • Handled 100K+ record datasets with a FastAPI backend and Streamlit chat UI
LangGraphLangChainOllamaLlama 3.1FastAPIStreamlitPandasMatplotlib

Pune Air Quality & Public Health Dashboard

Seamedu Awards 2026

Pune, Maharashtra, India

Jan 1, 2025 - Feb 1, 2025

Analyzed Pune AQI trends from 2017-2024 using time-series forecasting and public-health-focused visual analytics.

Key Achievements:

  • Submitted for Data Analytics Excellence Award, Seamedu Awards 2026
  • Built SARIMAX forecasting and seasonal pollution analysis
  • Combined statistical testing with an interactive Streamlit dashboard
PandasNumPyPlotlyStatsmodelsStreamlitMatplotlibSeaborn

Labs and builds, treated as engineering case studies

Selected work showcasing MLOps, agentic AI, and full-stack development

PROMPT
LLAMA 3.1
LANGGRAPH
FASTAPI
STREAMLIT

Autonomous Data Analyst Agent

A fully local, privacy-first autonomous agent that converts natural language queries into pandas analysis and visualizations.

LangGraphOllama (Llama 3.1)FastAPIStreamlitPandas

Skills grouped by engineering domain

The technologies and tools I work with

AI & Agentic Systems

LangChainLangGraphRAGOllamaLlama 3.1GroqGeminiPrompt EngineeringVector DBs (FAISS, Chroma)

Machine Learning & MLOps

PyTorchScikit-learnLightGBMXGBoostNumPyPandasETL PipelinesSHAPMLflowDockerPyTestAzureCI/CD (GitHub Actions)Evidently AI

Core Programming

PythonSQL (PostgreSQL, SQL Server)C++C#LinuxGitFastAPIStreamlitGradio

Visualization & BI

Power BITableauMatplotlibSeaborn

Education & Certifications

Academic background and key achievements

Master of Computer Applications (MCA)

Data Science & Analytics

Ajeenkya DY Patil University

Aug 2025 - May 2027CGPA: 8.1/10

Bachelor of Computer Applications (BCA)

Computer Applications

St. Edmunds' College

Jun 2021 - May 2024CGPA: 7.4/10

Best Generative AI Project Award

Seamedu Awards 2026

Awarded for MarathiVani (Multimodal AI Tutor)

Winner - 2026

Hackathons & Open Source Contributions

Extracurricular engineering achievements

GirlScript Summer of Code (GSSoC) 2026

Open-source contributor

HackOn With Amazon 6.0

Competitive technical event participant

Razorpay AI Buildathon

AI architecture and buildathon participant

Looking for a Data Science / AI / ML intern?

I'm seeking full-time roles or internship opportunities where I can contribute to production AI systems, MLOps workflows, and data-driven products.