About
Engineering undergraduate with experience in backend development, REST APIs, machine learning, cloud deployment, and full-stack web applications using Python and JavaScript. Focused on scalable software systems, AI-powered applications, and enterprise software engineering.
Experience
-
Machine Learning & AI InternICT Academy of KeralaJun 2025 – Jul 2025
Worked on data preprocessing, feature engineering, model training, and evaluation using Python.
Education
-
Bachelor of TechnologyL.B.S College of EngineeringElectronics and Communication Engineering · 2022 – 2026
Skills
Tools / apps / platforms
Projects
-
Catering ERP & Inventory Management PlatformReact 18, TypeScript, Supabase, Tailwind CSS
Developed a full-stack ERP platform for catering businesses and deployed it using Cloudflare infrastructure with PostgreSQL migration.
-
QutInvAPP – Quotation and Invoice Management SystemFlask, pywin32
Developed a Flask-based quotation and invoice automation platform with JSON-based data management and PDF export.
-
PDF RAG ChatbotPython, LangChain, FAISS, Gemini, Streamlit
Built a Retrieval-Augmented Generation application for intelligent PDF document querying using vector embeddings and semantic search.
-
UWB Based Indoor Activity Monitoring for Elderly Care
Developed a real-time indoor monitoring system using UWB transceivers, ESP32, and sensors. Built Python-based machine learning models for activity classification and fall detection.
Courses & certifications
- Machine Learning with Python – k-Means Clustering · LinkedIn Learning
- Python Training Program · L.B.S College of Engineering Kasaragod
🏆 Achievements & awards
-
Published and presented “UWB Based Indoor Activity Monitoring for Elderly Care” at ICSTS 2025 · 2025