Building intelligent systems at the intersection of Machine Learning, Generative AI, and LLM engineering. From RAG pipelines to production ML — turning raw data into AI products.
I'm an aspiring AI Engineer and Data Scientist based in Gujarat, India — open to relocation. My focus is building production-ready ML systems and LLM-powered apps that solve real problems.
With hands-on internship experience and a portfolio of end-to-end AI projects, I specialize in Retrieval-Augmented Generation, deep learning for vision tasks, and predictive modeling pipelines.
Seeking entry-level roles in AI Engineering, Data Science, and Machine Learning where I can ship meaningful products with modern AI.
LangChain, RAG, HuggingFace, Llama2, OpenAI APIs
End-to-end pipelines from EDA to FastAPI deployment
CNNs, Transfer Learning, TensorFlow/Keras for vision
EDA, Feature Engineering, Statistical Analysis
A curated toolkit for building modern AI systems — from data wrangling to model deployment.
End-to-end AI systems — from intelligent chatbots to production ML pipelines.
Intelligent chatbot that answers questions across multiple documents using Retrieval-Augmented Generation. Implements document chunking, embedding-based vector search, and contextual LLM reasoning.
AI-powered tool that compares resumes against job descriptions, generates ATS match scores, and performs LLM-based skill gap analysis. Helps candidates know exactly where they stand.
End-to-end ML pipeline predicting customer churn. Handles class imbalance with SMOTE and achieves strong AUC through rigorous feature engineering and model tuning.
Computer vision pipeline detecting rice leaf diseases from plant images using CNNs and transfer learning. Near-perfect accuracy via data augmentation and fine-tuned architectures.
Real-world experience building ML systems that matter.
Formal education backed by professional certifications.
Open to AI Engineering roles, Data Science positions, and interesting ML projects. Based in Gujarat — open to relocation.