ML Engineer & AI Developer
Intelligent products, clear user value, shipped with care.
B.Tech in AI & Data Science. Building ML platforms, recommendation systems, and interpretable AI that ships.
About
Engineering intelligence that feels useful, not abstract.
My work sits at the intersection of machine learning, backend systems, and frontend clarity. I like building systems where model quality, usability, and deployment all matter equally.
How I work
I usually begin with the user problem, map data constraints, and design a workflow that balances accuracy, robustness, and maintainability. This has led me toward end-to-end ML pipelines that include preprocessing, cross-validation, and deployment-ready APIs.
I am especially interested in recommendation systems, computer vision, NLP, and AI-powered products that bridge research ideas with everyday usability.
AI-first mindset
Model design, evaluation, and deployment using practical metrics and real use cases.
Full workflow thinking
From imputation and encoding to APIs and dashboards, I care about the complete flow.
Fast iteration
Quick prototypes, metric-backed refinement, and steady improvement with feedback.
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.
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
Selected projects from my current resume.
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.
Python for Data Science (Elite)
NPTEL IIT Madras, 2025
Develop GenAI Apps with Gemini and Streamlit
Google Cloud, 2025
Inspect Rich Documents with Gemini Multimodality and Multimodal RAG
Google Cloud, 2025
Prompt Design in Vertex AI
Google Cloud, 2025
Quantum Computing
C-DAC Hyderabad and IIT Roorkee, 2025
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.