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AI Engineer with 3+ years in Machine Learning, Data Science & Generative AI.
AI/ML Engineer with hands-on experience in Machine Learning, Data Science, Generative AI, NLP, and Retrieval-Augmented Generation (RAG). Skilled in Python, SQL, Scikit-learn, LangChain, Hugging Face, FAISS, vector search, prompt engineering, and AI application development. Experienced in building AI-powered chatbots, document intelligence solutions, predictive analytics models, and end-to-end ML pipelines involving data preprocessing, feature engineering, model evaluation, deployment, and API integration. Passionate about building practical AI solutions that solve real-world business problems.
Yenepoya University
Bachelor's Degree
August 1, 2019 – June 30, 2022
Camerin
Data Science & Machine Learning Intern
November 1, 2025 – April 1, 2026
India
Fiverr
Freelance Python Tutor
August 1, 2023 – October 1, 2025
India
Inmakes Infotech Pvt. Ltd
Python Developer Intern
December 1, 2022 – March 1, 2023
India
AI Legal Document Assistant
June 1, 2023 – September 1, 2023
• Designed and developed a Retrieval-Augmented Generation (RAG) application for intelligent legal document analysis. • Implemented semantic search using FAISS vector databases and Hugging Face transformer embeddings. • Built AI-powered chatbot and document intelligence workflows using LangChain, Hugging Face, vector embeddings, semantic search, and Retrieval-Augmented Generation (RAG). • Integrated LLM APIs and vector search pipelines to improve response quality and contextual retrieval. • Developed a Streamlit-based interface supporting document upload, question-answering, and AI-powered analysis. • Applied prompt engineering techniques to improve response accuracy and retrieval quality.
View ProjectFinancial Fraud Detection
January 1, 2023 – April 1, 2023
• Developed a fraud detection system using Random Forest on 6.3M+ transaction records. • Performed data preprocessing, feature engineering, and model optimization. • Applied SMOTE to address class imbalance and achieved 100% precision and 76% recall. • Created Power BI dashboards to communicate fraud trends and business insights.
View ProjectPredictive Maintenance System
September 1, 2022 – December 1, 2022
• Built an end-to-end predictive maintenance solution using NASA turbofan engine sensor data. • Implemented feature engineering, model training, evaluation, and performance optimization workflows. • Developed XGBoost models achieving ~96% accuracy for failure prediction. • Integrated SHAP explainability techniques to improve model transparency and decision support.
View ProjectCultural Fit Analysis
The candidate's project diversity, ranging from financial fraud detection to predictive maintenance and legal document analysis, indicates a broad interest and adaptability, which aligns well with dynamic AI roles. The focus on practical AI solutions and end-to-end ML pipelines suggests a results-oriented approach. The freelance tutoring experience also shows initiative and a willingness to share knowledge. The target role of AI Engineer is well-aligned with the candidate's project experience and stated skills in Generative AI, LLMs, and RAG.
Soft Skills & Operational Fit
The candidate demonstrates good problem-solving skills through their project work, particularly in handling complex datasets and implementing advanced ML techniques. Their experience as a freelance Python tutor suggests strong communication and mentoring abilities. Collaboration is also indicated through team-based project work. However, the psychometric test score is low, which might indicate potential challenges in logical reasoning, stress handling, or work attitude, requiring further investigation.