Available for Internships · AI & Full-Stack Engineer
Hi, I'm Shambhuraje Jadhav. Building intelligent systems from data to deployment.
B.Tech in AI & Data Science (SPPU), building production-grade ML pipelines, computer vision models, and full-stack web applications with measurable real-world outcomes.
Experience
An academic and professional journey focused on applied AI & software engineering.
I combine strong B.Tech foundations with hands-on enterprise internships and project-driven development across ML systems, full-stack APIs, and generative AI.
Jun 2026 - Present
Java Full Stack Developer Intern
FUEL (Friends Union for Energising Lives) | Program powered by Capgemini
Develop and integrate Spring Boot RESTful APIs with React frontends, leveraging hooks, routing, and Axios to optimize state management. Design and optimize relational schemas in PostgreSQL using Hibernate ORM and Spring Data JPA, while building concurrent backend features with Java Streams and Multithreading.
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 structures, DBMS, and AI system architecture. Maintaining a solid 8.0/10 CGPA.
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, prompt engineering, and LLM deployment workflows.
Jul 2025 - Sep 2025
Google Cloud Generative AI Virtual Internship
SmartBridge & SmartInternz
Completed a comprehensive program focusing on GenAI applications, Vertex AI, Gemini models, multimodal RAG, and cloud deployment pipelines 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, exploratory data analysis, and predictive modeling.
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.
WasmBoost
Zero-knowledge WebAssembly preprocessing, distributed Celery training, Optuna tuning, and TreeSHAP explainability.
Full-stack AutoML platform featuring zero-knowledge in-browser WebAssembly preprocessing (Pyodide), distributed Celery/Redis async training with real-time WebSocket telemetry, Optuna Bayesian tuning, TreeSHAP explainability, and secure ONNX/Skops artifact serialization.
EcoTrack AI
Real-time carbon footprint tracker aligned with UN SDG 13 for climate action.
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.
NullPII: Feedback Analyzer
Zero-trust PII masking pipeline that redacts sensitive data before cloud LLM transmission.
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).
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 & Architecture
Functional engineering domains & production toolkits.
Organized by engineering discipline with real-world application context. Click any skill tag to instantly highlight the shipped projects where that technology was applied.
Languages & Core Foundations
Core Syntax, Algorithms & Data StructuresStrong algorithmic, object-oriented, and data-intensive foundations across systems programming, database query optimization, and structured pipelines.
Core ML & Deep Learning
Vision, Evaluation & OptimizationEnd-to-end model development, from custom convolutional neural networks (CNNs) and Grad-CAM interpretability to feature engineering and dual-metric benchmarking.
Backend & MLOps
APIs, Privacy Pipelines & CloudHigh-throughput asynchronous APIs, client-side PII redaction engines with Microsoft Presidio, containerization, and production deployments across cloud runtimes.
Frontend & Viz
Interactive Dashboards & AnalyticsType-safe full-stack interfaces, reactive component architecture, dynamic carbon estimation engines, and high-density charting with Plotly & Recharts.
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
Verify credentialInspect 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.