Full-stack developer building AI-powered products — from WhatsApp chatbots on AWS to edge-AI systems and ML pipelines. Passionate about shipping real-world solutions.
I specialize in JavaScript, Python, and cloud-based full-stack development. I care about software that performs efficiently and feels good to use. Currently exploring Cloud Applications and its practical real-world implementations.
Developed an edge-AI blood cell detection and sickle cell anemia identification system deployed on Raspberry Pi 4. Achieved 95% classification accuracy with sub-second latency for real-time analysis.
WhatsApp-based issue reporting system for construction sites. Workers submit complaints via text, voice, and images. Role-based access for admins and engineers with real-time dashboard monitoring.
WhatsApp chatbot enabling students to query library systems and request books via fuzzy search. Supports text, image, and audio interactions with PRN-based authentication and personalized conversational flows.
MATLAB-based drone route optimization for agricultural spraying. Improves coverage efficiency while reducing route overlap. Includes visualization platform for algorithm comparison and performance metrics.
PDF Q&A system with document upload, automatic embedding generation, and Pinecone-based vector search. Real-time chat with contextual references and 90-95% relevant retrieval accuracy.
Relational database schema for ride-booking analytics. Processed 1.4L+ records through ETL pipelines. Interactive Power BI dashboards tracking 51.6M+ revenue, cancellation trends, and peak hours.
Full-stack shopping application with product management, JWT authentication, admin control panel, and secure payment integration.
End-to-end IoT platform connecting ESP32 sensors with React Native mobile dashboards via BLE. Real-time data visualization, device status tracking, and low-latency wireless communication.
Long-range GPS tracking system using LoRa communication for remote environments. Integrates NEO-6M GPS, Arduino Nano, and LoRa modules for real-time transmission with receiver station LCD display.
Built and optimized RAG pipelines for an AI tutoring platform serving grades 8–10. Improved retrieval latency by 20% and achieved 95% accuracy through FAISS-based vector indexing and semantic search optimization.
Leading development projects and mentoring peers in full-stack development and AI workflows.
Built an AI-powered feedback system using Node.js, AWS Lambda, and DynamoDB. Integrated WhatsApp Business API for real-time delivery.
Designing scalable PaaS platforms and automating workflow systems for clients across industries.
Developed LERNIX — an AI-based academic tracking and attendance platform for institutions.
I'm open to full-time roles, freelance projects, and interesting collaborations. Always happy to chat.
