ML Experiment
Why Pregnancy Features Cannot Predict Baby Gender: A Machine Learning Experiment The Age-Old Question Meets Modern AI
Read article →AI · ML · Full-Stack
Computer Engineering graduate building AI systems that think, retrieve, and decide — from Adaptive RAG pipelines to production-grade ML models.
About
I'm a Computer Engineering graduate from BVM Engineering College, Anand. My focus is turning AI concepts into shipped, measurable products — I care about systems that work cleanly, scale gracefully, and actually solve problems, not just demo well.
Along the way I've interned as a Mobile App Developer at Tech Elecon and a React.js Developer at TatvaSoft, giving me hands-on exposure across the full stack — from geofenced attendance systems to production REST APIs. Currently seeking roles in AI/ML Engineering, Software Development, or Data Analytics.
Skills
Projects
End-to-end RAG system using LangGraph to intelligently route queries across document knowledge, general knowledge, and real-time web search. Features chunking, embedding generation, query rewriting, relevance grading, and Qdrant vector search — backed by FastAPI with MongoDB chat memory.
ML pipeline for detecting fraudulent job postings using TF-IDF and XGBoost, achieving ROC-AUC of 0.92. Automated preprocessing and feature engineering; mitigated class imbalance through threshold optimization, reducing false positives by 68%.
Full-stack platform analysing resumes against job descriptions using Google Gemini AI to generate personalized interview questions, skill-gap insights, and preparation roadmaps. Features JWT-authenticated REST APIs and MongoDB-backed report management.
Forecasting pipeline on 500K+ retail transactions using RFM segmentation, EDA, customer segmentation, and feature engineering. Evaluated SARIMA and ETS models with MAE and RMSE metrics to generate actionable insights for retail demand planning.
Developed a full-stack real-time chat application using React.js, Node.js, Express.js, MongoDB, and Socket.IO, enabling instant bidirectional messaging with secure user authentication and persistent chat history. Implemented RESTful APIs and WebSocket communication to support real-time message delivery, user management, and scalable client-server interactions.
Blog
Why Pregnancy Features Cannot Predict Baby Gender: A Machine Learning Experiment The Age-Old Question Meets Modern AI
Read article →Experience
Education
B.Tech in Computer Engineering · Anand, Gujarat
Open to AI/ML Engineering, Software Development, and Data Analytics roles.