AI Trend Scout
A trends dashboard aggregating top daily posts from GitHub, Reddit, Hacker News, YouTube & Dev.to. Fully automated n8n pipeline on AWS EC2 with Supabase storage and newsletter system.
Full-stack developer & AI enthusiast building web apps, automation pipelines, and intelligent systems. Currently interning at Dscape.AI.
A trends dashboard aggregating top daily posts from GitHub, Reddit, Hacker News, YouTube & Dev.to. Fully automated n8n pipeline on AWS EC2 with Supabase storage and newsletter system.
Time-series forecasting model predicting sales for 20 Cisco products. Integrated macroeconomic indicators, achieved 90.46% accuracy, ranked 7th among RV Institutions.
Multi-agent AI system for MRI-based Parkinson's stage prediction using EfficientNet-B0 with 99.62% accuracy and RAG-based diagnostic reports.
Real-time chat application built with the MERN stack. Features Socket.io live messaging, JWT authentication, and Cloudinary for media storage and delivery.
Decentralized voting platform built with React, Django, and Ganache ensuring transparent and tamper-proof elections.
My personal blogging site where I share thoughts, learnings, and technical deep-dives on software development and AI.
I'm a final-year Computer Science student at RV Institute of Technology and Management, Bangalore (CGPA: 8.86). Currently interning at Dscape.AI as an Agentic AI Developer, working on AI automation pipelines, RAG systems, and action-based agents.
I love building full-stack applications, experimenting with machine learning, and automating workflows. From MERN stack apps to time-series forecasting models, I enjoy solving real-world problems with clean, efficient code.
Building responsive web applications using React, Node.js, Express.js, MongoDB, TailwindCSS, and modern JavaScript.
Developing intelligent systems using Python, RAG pipelines, NLP, EfficientNet, FAISS, Scikit-learn, and multi-agent architectures.
Designing automated workflows with n8n, deploying on AWS EC2, Docker containerization, and CI/CD with Vercel.
250+ DSA problems solved on LeetCode using C++. Strong foundations in data structures, algorithms, and system design.
Building automation pipelines using n8n for real-world business use cases. Exploring and implementing RAG, NLP, and ML solutions to develop intelligent agentic systems.