About Me
I am an aspiring Machine Learning Engineer with hands-on experience in building end-to-end ML systems. I focus on enhancing accuracy and optimizing performance while handling large-scale datasets. I am adept at utilizing modern tools and frameworks to deploy ML-powered solutions effectively
Skills
Selected Work
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Built an ensemble fraud detection model using Bagging and Stacking on healthcare datasets, achieving 98.6% AUC and outperforming SVM and Random Forest. Integrated blockchain-based smart contracts to enhance security and automate fraud detection and alerting in healthcare claims systems
Implemented semi-supervised CNN with label propagation for hyperspectral image classification, achieving 93% accuracy. Used Centered Kernel Alignment (CKA) for similarity-based label spreading on limited labeled data from the Salinas dataset
Experience
Technocolabs Softwares
Built an end-to-end RAG system with LLM for HR compliance Q&A using vector search and structured prompts, improving response accuracy and deployed on Railway platform. Implemented FAISS-based similarity search with token chunking and metadata filtering for efficient information retrieval. Developed REST APIs with Flask and a Streamlit UI, enabling scalable ingestion, embedding, and LLM-driven responses
Mastek Ltd
Designed automated dashboards and analytics reports, enabling real-time insights across business operations. Resolved complex data issues and optimized reporting performance across production and non-production environments. Collaborated with cross-functional teams to deliver data-driven business solutions
Evolutionary Systems Pvt Ltd
Developed a business trip request system with multi-level approval workflow. Designed backend logic and implemented data handling for enterprise use case. Built analytics dashboard and reporting features for decision-making
Nirma University
Assisted professors in delivering course material, grading assignments, taking attendance, and research paper formatting and modifications
Education
Nirma University
2020 — 2022