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AI Engineer with less than a year in Generative AI & Web Development
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Full Stack Developer Trainee with expertise in AI Chatbot development, business automation, and scalable REST APIs. Skilled in Generative AI, LangChain, LangGraph, and full-stack technologies like React.js and FastAPI. Experienced in building multi-agent AI assistants, voice assistants, and machine learning applications, with strong proficiency in Python and JavaScript.
RKGIT (AKTU), Uttar Pradesh
B.Tech · Computer Science and Engineering (AIML)
August 1, 2022 – June 30, 2026
Excellence Technology
Full Stack Developer Trainee
February 1, 2026 – April 1, 2026
India
Hospital Voice Assistant
January 1, 2025 – December 31, 2025
Developed a Hospital Voice AI Assistant for appointment booking, cancellations, and emergency support. Implemented JWT Authentication with secure REST APIs using FastAPI for patient and appointment management. Integrated LiveKit Agents with OpenAI GPT-40-mini, Whisper STT, and TTS for real-time voice interaction. Engineered automated email confirmation system using SMTP for appointment notifications to patients.
View ProjectMultiAgent AI
January 1, 2025 – December 31, 2025
Built a Multi-Agent AI Assistant using LangGraph, LangChain, RAG, and MCP. Integrated Web Search, GitHub MCP, Weather API, Real-Time Stock Data, and Mathematical Tools. Implemented RAG-based retrieval to improve response accuracy and minimize hallucinations. Leveraged GitHub MCP for repository analysis, code inspection, and issue tracking. Utilized LangSmith for tracing, debugging, and monitoring agent workflows.
View ProjectInsurance Premium Prediction
January 1, 2025 – December 31, 2025
Developed a Machine Learning application to predict insurance premiums based on customer demographic and health-related attributes. Performed data preprocessing, feature engineering, and exploratory data analysis using Pandas and NumPy to improve data quality. Trained and evaluated regression models using Scikit-Learn for premium prediction and model reliability. Built a web-based interface for real-time premium estimation and containerized the application using Docker for deployment.
View ProjectCultural Fit Analysis
The candidate demonstrates a strong interest in AI/ML through multiple personal projects and an academic background in Computer Science and Engineering (AIML). The projects showcase initiative and a proactive approach to learning and applying new technologies, which aligns well with an innovative and fast-paced AI engineering environment. The diversity of projects (Multi-Agent AI, Voice Assistant, Premium Prediction) indicates adaptability and a broad technical curiosity. The short professional experience as a trainee limits the assessment of long-term team collaboration and professional conduct.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on diverse technical challenges and integrate various APIs and tools. The experience as a Full Stack Developer Trainee suggests an understanding of end-to-end development, which is beneficial for operational fit. However, without specific behavioral assessment data, it's difficult to fully assess soft skills like teamwork, problem-solving under pressure, or communication in a collaborative setting.