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 3 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.
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.
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.
2025
ML Dashboard Project
Built a full-stack ML platform using FastAPI and Next.js for dataset upload, preprocessing, training, and model recommendation with dual-metric benchmarking.
2025
Pneumonia Detection and Recommendation Systems
Developed a CNN with Grad-CAM for chest X-ray explainability and a personalized tourist recommendation system using similarity-based filtering in Streamlit.
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.
ML Dashboard
Dataset upload, preprocessing, training, and model recommendation in one unified workflow.
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.
Pneumonia Detection using CNN with Grad-CAM
CNN-based chest X-ray classifier with explainable visualizations for interpretability.
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.
Tourist Destination Recommendation System
Personalized destination suggestions using similarity-based filtering and user preference signals.
Designed and shipped a Streamlit application that generates real-time recommendations, demonstrating end-to-end recommendation logic with a simple and usable interface.
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.
Languages and data
ML and AI tools
Product and delivery
Certifications
Credentials that strengthen my applied AI foundation.
These certifications reflect continuous learning across data science, GenAI tooling, multimodal systems, and advanced computing.
Inspect Rich Documents with Gemini Multimodality and Multimodal RAG
Google Cloud, 2025
Verify credentialNational Level Mathematical Competition (Level 3)
Indian Society for Technical Education, 2024
Verify credentialContact
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.