M.S. Computer Science @ Indiana University Bloomington | CGPA: 3.7/4.0
I’m a passionate Software Engineer with expertise in Full-Stack Development, Artificial Intelligence, and Cloud Computing.
I love building scalable systems that solve real-world problems and create meaningful impact.
Currently contributing to open-source sustainability projects while developing cutting-edge AI applications.
- Full-Stack Development: MERN, Next.js, Spring Boot
- AI/ML Engineering: Computer Vision, NLP, GANs
- Cloud Architecture: AWS, Azure, Docker, Kubernetes
- Data Visualization & Analytics
- CI/CD & DevOps Automation
- Delivered Job Posting Analytics dashboards with interactive visualizations (Avg. Months Pledged by Role).
- Built Popularity by Time charts with advanced role/date filters.
- Enhanced responsive UI and collaborated on backend for real-time reporting.
- Designed wildfire segmentation models on 50+ drone videos using optimized CNNs (92% accuracy).
- Annotated 2,000+ frames, improving GeoAI models for flood mapping & forest monitoring.
- Built cloud-based event booking system with OTP authentication & role-based dashboards.
- Automated CI/CD pipelines using GitHub Actions + Azure, reducing deployment time by 80%.
- Engineered a License Plate Recognition system (CNN + OpenCV) with 90% accuracy on 5K+ images.
- Automated scraping with Selenium + REST APIs, cutting manual verification by 70%.
⚡ Real-time LMS with <100ms updates, secure role-based access, and modular CMS.
🔑 Next.js 15 · Sanity · Clerk · Stripe
🤖 Drag-and-drop editor powered by Google Gemini AI, generating email templates in <2s.
🔑 Convex · Nodemailer · Google OAuth
🖼️ Trained a Wasserstein GAN for painting restoration (SSIM: 0.89, MSE: 0.0023).
🔑 PyTorch · WGAN · Canny Edge Detection
✨ "Code that scales, models that learn, and systems that last." ✨