May 2025 – Present · 1 yr · Ahmedabad, Gujarat, India · Remote

• WhatsApp CRM
• ∗ Built a conversational CRM system integrating WhatsApp APIs with LLMs, using vector embeddings
• (pgvector + PostgreSQL) to store and retrieve past interactions for context-aware and personalized
• responses.
• ∗ Implemented message history tracking and semantic search across chat logs, enabling the system to
• maintain conversational continuity, summarize past exchanges, and generate relevant replies based on user context.
• AI Learning Bot
• ∗ Developed an intelligent question generation system that ingests user documents, splits content into
• semantically meaningful chunks, and generates vector embeddings using OpenAI/LLM APIs, storing them in PostgreSQL with pgvector for efficient similarity search and retrieval.
• ∗ Integrated LLM-based generation to create questions based on user-defined parameters such as difficulty level, question count, and topic, leveraging temperature and other model parameters to control response quality and complexity.
• Document Comparison Tool
• ∗ Developed a web application to compare and visualize differences between two document versions,
• typically English and translated copies, using intelligent text-diff logic.
• ∗ Added a backend validation layer to verify document version consistency and highlight modified segments for easy visual comparison across multilingual releases.

Nov 2024 – May 2025 · 6 mos · Ahmedabad, Gujarat, India · Remote

• Voice Dashboard
• Built an IoT data visualization system using Flask and MySQL (via SQLAlchemy) to process and
• display real-time sensor data through RESTful APIs.
• Implemented JWT authentication with role-based access control, optimizing security, customizing
• API responses per user role, and improving system reliability and maintainability.
• Amazon Opportunity Finder
• Built a Selenium-based web scraper to extract detailed Amazon product data including name, price,
• description, ratings, and seller details, followed by data cleaning and preprocessing for analysis.
• Designed and integrated a MySQL data pipeline to efficiently store and query large datasets, supporting market opportunity analysis and trend identification for business insights.