ML Engineer & AI Developer

Hi, I'm Shambhuraje Jadhav. I build ML products that solve real problems.

B.Tech in AI & Data Science, building deployable ML systems with measurable impact across model quality, usability, and product outcomes.

Built 5 production-style AI projects, shipped full-stack ML workflows, and achieved 92% validation accuracy on medical imaging classification.

Seeking ML Engineer and AI Engineer internship roles.

Currently exploring
Expertise ML, computer vision, recommendations
Workflow Build → Evaluate → Deploy
Open to Internships, collaborations
Availability Immediate | Pune, India | Remote-friendly

Experience

An academic and project journey focused on applied AI.

I am currently building depth through my B.Tech program and project-driven work across ML platforms, computer vision, and recommendation systems.

Aug 2023 - Present

B.Tech in Artificial Intelligence and Data Science

Savitribai Phule Pune University, Baramati. Building strong foundations in machine learning, deep learning, data processing, and AI system design.

Jun 2026 - Jul 2026

Generative AI & Agentic Systems Engineering Internship

Lenovo LEAP NextGen Scholar Program (Lenovo x AICTE x BharatCares). Completed a 6-week AICTE internship focused on Generative AI, agentic systems engineering, and deployment workflows.

Jul 2025 - Sep 2025

Google Cloud Generative AI Virtual Internship

SmartBridge & SmartInternz. Completed a comprehensive program focusing on GenAI applications and deployment on Google Cloud.

Jun 2025 - Jul 2025

Data Science & Analytics Internship

Zidio Development. Recognized for successful completion, outstanding effort, and professional growth in data science.

Projects

Projects I've shipped and can speak to in depth.

These projects reflect my focus on practical machine learning: robust preprocessing, measurable evaluation, explainability, and clean deployment.

Full-Stack ML Platform

ML Dashboard

Dataset upload, preprocessing, training, and model recommendation in one unified workflow.

0Models Benchmarked
0Metric Types

Built with FastAPI, Next.js, and TypeScript, this platform uses stratified cross-validation and dual-metric benchmarking (F1-weighted, Accuracy, R2) to recommend models for classification and regression tasks.

Python FastAPI Next.js TypeScript Plotly
Climate Tech

EcoTrack AI

Real-time carbon footprint tracker aligned with UN SDG 13 for climate action.

0Debounce Latency
0Emission Sectors

Engineered an EPA-coefficient estimation engine converting electricity, gas, mileage, EV charging, and diet into monthly CO₂ metrics with interactive Recharts donut visualizations and personalized mitigation tips.

Next.js 16 React 19 TypeScript Tailwind CSS Recharts
Privacy Engineering

NullPII: Feedback Analyzer

Zero-trust PII masking pipeline that redacts sensitive data before cloud LLM transmission.

0PII Masking Rate
0RAM Reduction

Built a client-side PII redaction pipeline using Microsoft Presidio and spaCy with a resource-adaptive loader that auto-swaps models, cutting cloud RAM overhead by 90% (50MB vs 500MB).

Python Presidio spaCy Gemini API Streamlit
Computer Vision

Pneumonia Detection using CNN with Grad-CAM

CNN-based chest X-ray classifier with explainable visualizations for interpretability.

0Validation Accuracy
0X-Rays Processed

Implemented a TensorFlow pipeline including image resizing, normalization, and RGB conversion, then integrated Grad-CAM for interpretable predictions through a Streamlit interface with confidence scoring.

TensorFlow OpenCV CNN Grad-CAM Streamlit
Recommendation System

Tourist Destination Recommendation System

Personalized destination suggestions using similarity-based filtering and user preference signals.

0Destinations
0Filter Dimensions

Designed and shipped a Streamlit application that generates real-time recommendations, demonstrating end-to-end recommendation logic with a simple and usable interface.

Python Machine Learning Recommendation Engine Streamlit

Skills

A toolkit centered on data, models, and shipping clean interfaces.

I combine strong Python and ML fundamentals with API development, visualization, and deployment so projects are useful beyond experimentation.

Core stack

Technologies I reach for most often when building AI-flavored applications.

Python 90%
Machine Learning and Evaluation 88%
Data Processing and Visualization 84%
Web and Deployment 82%

Languages and data

Python Java JavaScript TypeScript SQL C++ pandas NumPy

ML and AI tools

scikit-learn TensorFlow NLP CNN Grad-CAM Feature Engineering

Product and delivery

React FastAPI Next.js Streamlit REST APIs Plotly Vercel Render Git and GitHub

Certifications

Credentials that strengthen my applied AI foundation.

These certifications reflect continuous learning across data science, GenAI tooling, multimodal systems, and advanced computing.

Generative AI & Agentic Systems Engineering

Lenovo LEAP NextGen Scholar Program (AICTE & BharatCares), 2026

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Inspect Rich Documents with Gemini Multimodality and Multimodal RAG

Google Cloud, 2025

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National Level Mathematical Competition (Level 3)

Indian Society for Technical Education, 2024

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Google Cloud Generative AI Virtual Internship

SmartBridge & SmartInternz, 2025

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Contact

Want to build something sharp and useful together?

I am interested in internships, collaborations, and projects where machine learning can deliver clear value. Use the form to draft an email, or connect directly using my resume links.