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AI Engineer with 2+ years in Machine Learning, NLP & RAG
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Highly skilled Senior Product Specialist with 2.5 years of experience in designing and implementing advanced AI/ML solutions. Proven expertise in Retrieval-Augmented Generation (RAG) pipelines using LangChain and ChromaDB, computer vision for image classification and object detection, and deploying scalable ML models with TensorFlow, PyTorch, and Docker. Adept at leveraging a wide array of technical skills including Python, FastAPI, and AWS to deliver impactful projects across various domains such as enterprise chatbots and AI agents.
Savitribai Phule Pune University
Bachelor of Engineering (B.E.) · Computer Science
August 1, 2019 – June 30, 2023
Neeyamo Enterprise Solutions Pvt. Ltd.
Senior Product Specialist
December 1, 2023 – Present
India
Enterprise Knowledge Support Chatbot (RAG)
June 30, 2026 – June 30, 2026
Designed and deployed an enterprise-grade RAG chatbot providing real-time access to internal SOPs and policy documents using FastAPI and LangChain. Implemented document ingestion pipelines for PDF, DOCX, and TXT files using vector embeddings and semantic search. Optimized retrieval strategies and LLM parameters to reduce hallucinations and improve answer precision. Delivered a secure, scalable, API-driven solution for enterprise knowledge retrieval.
Holiday Planner AI Agent
June 30, 2026 – June 30, 2026
Implemented a Sightseeing Agent with LangChain + FAISS to retrieve and rank sightseeing points from travel knowledge bases. Developed a Hotel Pricing Agent integrating Booking.com / Expedia APIs for live hotel prices, availability, and stay cost estimation. Created a Weather Agent connected to OpenWeatherMap API for real-time forecasts and optimal travel date recommendations. The entire solution was built with FastAPI for service endpoints, containerized using Docker, and deployed on AWS for scalable cloud hosting.
Meal & Food Image Classification System
June 30, 2026 – June 30, 2026
Developed a computer vision-based food image classification system using Python, OpenCV, and CNN models (TensorFlow/PyTorch). Built an end-to-end pipeline including image preprocessing, data augmentation, model training, and inference. Improved model performance through dataset balancing and hyperparameter tuning. Delivered a production-ready solution capable of handling diverse, real-world food images.
Cultural Fit Analysis
The candidate's projects demonstrate a strong interest and practical application in diverse AI/ML domains, including NLP (RAG chatbots), computer vision (image classification, object detection), and multi-agent systems. This breadth of interest and hands-on experience aligns well with an innovative and dynamic AI engineering environment. The use of modern tools and frameworks (LangChain, FastAPI, Docker, AWS) indicates a proactive approach to learning and adopting industry best practices. The personal projects show initiative and a passion for applying AI solutions to real-world problems.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to take projects from conception to deployment, suggesting strong problem-solving and execution skills. The focus on enterprise-grade solutions and optimized retrieval strategies implies an understanding of performance and reliability in production environments. The detailed descriptions of project components and technologies used suggest good technical communication, though formal assessment data is missing.