Open to opportunities

Yash Patil

@yashpatil4

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Machine learning and full-stack developer focused on building deployed NLP and forecasting solutions.

India

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What I'm looking for

I’m looking for a role where I can build and deploy ML/NLP solutions—using APIs and dashboards—to deliver measurable business impact. I want a team that values experimentation, clean engineering, and strong evaluation.

I’m a Machine Learning–minded technologist with strong full-stack experience, and I enjoy turning messy data into reliable models and usable products.

In my Machine Learning internship at Krutanic Solutions, I built a credit card fraud detection model on 280K+ transactions, improving fraud detection recall from 61% to 78% while maintaining 85%+ precision through class imbalance handling, feature engineering, and hyperparameter tuning.

I also built real applications as a Full-Stack Web Dev Intern at AlchemistSoftwares—developing a web app with React, Django REST Framework, and PostgreSQL, including an enquiry management system with automated email notifications.

My projects deepen my focus on applied AI: a Research Paper Q&A system using RAG with LangChain, FAISS, and sentence-transformers plus a Streamlit interface, and a Demand Forecasting system using time-series ML with FastAPI deployments and stakeholder dashboards.

Experience

Work history, roles, and key accomplishments

Machine Learning Intern

Krutanic Solutions

Sep 2025 - Nov 2025 (2 months)

Built a credit card fraud detection model for an imbalanced dataset of 280K+ transactions using Python and scikit-learn. Improved fraud detection recall from 61% to 78% by handling class imbalance with stratified sampling and adjusted class weights while maintaining 85%+ precision.

Python scikit learn Feature Engineering Class Imbalance Handling GridSearchCV Stratified Sampling F1 Score Hyperparameter Tuning

Full-Stack Web Dev Intern

Alchemist Softwares

Feb 2025 - Jul 2025 (5 months)

Developed a full-stack web application using React, Django REST Framework, and PostgreSQL, including an enquiry management system. Implemented automated email notifications for the sales team and supported end-to-end feature development.