I'm a Full-Stack Developer and Co-Founder of Alignn, specialized in creating innovative web solutions with AI integration. Currently working on satellite imagery analysis at ISRO and leading Alignn's development team.
Tech enthusiast driven by curiosity and innovation. I blend creativity with technical expertise to build meaningful tools that make a difference. Currently focused on AI integration, edge computing, and creating scalable web applications.
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Project Intern at ISRO - Indian Space Research Organisation (Feb 2024 - Present)
Working on pollution prediction models using satellite imagery and machine learning- Developed models for pollution prediction using satellite imagery
- Implemented machine learning algorithms for data analysis
- Skills: Python, Machine Learning, Remote Sensing, Data Analysis
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Co-Founder & Lead Developer at Alignn Technologies (Dec 2024 - Present)
Leading end-to-end development of web applications and digital solutions- Launched 20+ successful client projects
- Built scalable web applications using modern tech stack
- Skills: React, Node.js, PostgreSQL, Svelte, Next.js, TailwindCSS
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Research Project Lead at Samsung PRISM (Oct 2024 - Dec 2024)
Led LLM Distillation project implementing Student Teacher Learning methodology- Developed complete training pipeline for LLM model distillation
- Skills: PyTorch, NLP, LLM, Model Distillation, Transformers
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Research Intern at Samsung PRISM (Feb 2024 - Sep 2024)
Developed AI models for image aesthetic evaluation with 98% accuracy- Built and trained computer vision models for image aesthetic evaluation
- Skills: Computer Vision, Deep Learning, TensorFlow, Image Processing
- Bachelor of Engineering in Computer Science (2022 - 2026)
Cambridge Institute of Technology, Bangalore
Specializing in Computer Science and Engineering.
Modern image optimization and delivery service with global CDN distribution.
- Technologies: Svelte, Node.js, PostgreSQL, TailwindCSS, CloudFlare CDN
- Features: Global CDN Distribution, Automatic Image Optimization, User Dashboard
Modern chat interface supporting multiple LLM models through the GROQ API.
- Technologies: Svelte, TailwindCSS, LangChain, GROQ, TypeScript
- Features: Multi-model Support, Conversation History, Code Highlighting
AI-powered screenshot and file analysis tool using Google's Gemini AI.
- Technologies: Python, Gemini API, FastAPI, QT, Computer Vision
- Features: Screenshot Analysis, File Content Extraction, Image Recognition
Web application for asking questions about images using Llama-3.2-11b-vision model.
- Technologies: LLaMA, Groq API, LangChain, Gradio, Python
- Features: Image-based QA, Natural Language Responses, Multiple Image Support
Flask-based application for AI-generated educational content.
- Technologies: Flask, LangChain, Groq, Tailwind CSS, Python, SQLite
- Features: Personalized Learning Paths, AI Content Generation, Automated Quizzes
- ML/AI Integration in production applications
- Edge Computing architectures
- Open Source contributions
- Design Systems and component libraries
- Machine Learning Foundation: Infosys Springboard (April 16, 2025)
- Samsung PRISM Program: GenAI | Deploy LLM Distillation (Aug-Dec '24)
- Front End Web Developer: Infosys Springboard (December 2024)
- Samsung PRISM Program: GenAI | Image Aesthetic Model (Feb-Sep '24)
- Microsoft AI Skills Challenge (January 2024)