About Me
I am a Full Stack Developer with hands-on experience in building modern, scalable web applications. During my time at Mobiloitte Technologies, although my official title was trainee, I worked as a full-time developer on real-world projects, gaining practical exposure across both frontend and backend development. I enjoy building end-to-end solutions, from designing intuitive user interfaces to developing efficient backend systems, and I have a strong interest in AI-powered applications and system design. I continuously improve my skills by working on real-world projects, learning new technologies, and focusing on creating clean, efficient, and user-friendly solutions.
Skills & Technologies
Work Experience
Full Stack Developer
Developing RAG-based chatbots using Python and Next.js for real-world applications. Building AI solutions for client use cases, including conversational workflows and data retrieval. Designing admin and user portals with role-based access control. Independently developing an end-to-end chatbot system using iterative development and AI-assisted tools.
AI Model Evaluator (Freelance)
Evaluated LLM responses for accuracy, relevance, and coherence across tasks. Provided structured feedback to reduce hallucinations and improve response quality.
Data Analyst Trainee
Performed data exploration, cleaning, and feature engineering to improve dataset quality. Built supervised ML models (Linear Regression, Decision Tree) to derive business insights.
Projects
Diagnostic Lab Chatbot Platform
Built a RAG-based AI chatbot improving query response accuracy for diagnostic workflows. Developed admin, patient, and employee portals with role-based access. Integrated document-based data retrieval to answer lab-related queries.
Taxi Fare Prediction
Built ML models to predict taxi fares using historical trip data. Implemented Random Forest and Gradient Boosting for performance optimization.
OLA Data Analytics Dashboard
Analyzed ride data using SQL and built PowerBI dashboards for business insights. Visualized key metrics such as cancellations, revenue trends, and driver ratings.
Hand Gesture Presentation Controller
Developed a hand-gesture-based presentation controller using OpenCV and Python. Implemented real-time hand tracking and gesture recognition to control slide navigation.
Education
Bachelor of Technology in Computer Science specialization in AI & Data Science
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