AI Engineer
I am an AI Engineer with less than 1 year of experience at AVASOFT, where I developed a Certificate Management System using Django that improved the efficiency of certificate verification processes by 30%. I have also created innovative projects like an RAG-Based Website Chatbot and a Smart Real-Time City Bus Tracking System, showcasing my skills in building LLM-powered applications. I'm focused on advancing my career as an ML/AI Engineer, where I can continue to leverage my expertise in Python and cutting-edge technologies to create impactful solutions.
Developed an AI-powered cafe assistant using MCP with tools, prompts, and resources for menu, ordering, and inventory use cases. Implemented Human-in-the-Loop workflows, guardrails, conversation summarization, order management, and inventory tracking.
Developed a multi-agent coding assistant with Orchestrator, Coder, Reviewer, and Researcher agents for intent identification, code generation, code review, and research. Implemented agent orchestration using LangGraph with MCP integrations for PEP8-based code review and DuckDuckGo-based web research.
Developed a RAG-based chatbot with web scraping, content chunking, knowledge-base creation, retrieval, and LLM-based response generation. Implemented reranking and Redis caching to improve response relevance and application performance.
Developed an AI-powered system for identifying dairy cattle and buffalo breeds through image-based prediction. Implemented user authentication, image and record management, and verification workflows.
Developed a real-time bus tracking system with simulated location tracking, ETA prediction, route information, and issue reporting. Implemented accessibility features including text-to-speech and voice-command support for differently abled passengers.
Developed a CNN-based system to predict Glacial Lake Outburst Floods (GLOFs) and provide early warnings. Implemented real-time alert generation and danger-zone mapping to support disaster preparedness.
Dec 2025 – Aug 2026
Developed Generative AI and Agentic AI solutions using Python, LLMs, LangChain, LangGraph, MCP, and RAG for diverse AI use cases. Designed and implemented multi-agent systems with Coder, Reviewer, and Researcher agents using LangGraph, enabling agent orchestration, tool integration, and iterative code refinement. Built an MCP-enabled AI assistant with tools, prompts, and resources, incorporating human-in-the-loop workflows, guardrails, and summarization capabilities. Developed RAG-based applications involving web scraping, document chunking, knowledge-base creation, retrieval, reranking, LLM-based response generation, and Redis caching. Developed AI-powered backend services and REST APIs using Python and FastAPI to integrate AI capabilities into application workflows. Gained practical exposure to agent observability, Docker, Git, SQL, PostgreSQL, MySQL, AWS, and Databricks.
Jul 2024 – Aug 2024
Developed a Certificate Management System using Django to streamline the management and verification of student and teacher certificates. Implemented user authentication, role-based dashboards, certificate upload and management, verification workflows, and cost tracking for students and teachers. Gained practical experience in Python, Django, HTML, CSS, Bootstrap, and PostgreSQL through the development of the web-based application.
B.Tech Artificial Intelligence and Data Science • Nov 2022 - Mar 2026
CGPA: 9.29
Interested in collaboration or just want to say hello? Feel free to reach out!