B.Tech in Computer Engineering | Vishwakarma Institute of Technology, Pune (2021–2025)
CGPA: 8.39
- Passionate about AI, deep learning, and full-stack web development.
- Experienced in building GANs, multi-agent systems, and scalable web apps.
- Love collaborating on open-source and innovative tech projects.
- Always eager to learn new technologies and solve challenging problems.
- Outside tech, I enjoy playing football and volunteering for social causes.
Languages:
Java, Python, C++, C, JavaScript, SQL, Go, TypeScript, Shell Scripting
Technologies:
Kubernetes, Docker, AWS, YAML, JSONPath, GitHub Actions, REST APIs, Next.js, React.js, Node.js, MySQL, MongoDB, GenAI
Learning:
OOP, OS, DBMS, Data Structures & Algorithms, Data Science, Computer Networks, Cybersecurity, Cloud Computing
-
Unleashing Customization in GANs through Delineation guided Image Synthesis
GAN-based model for translating sketches into high-res photorealistic images (90-92% accuracy). Used U-Net, PatchGAN, and hybrid loss for detail preservation.
Tech: GANs, Pix2Pix, U-Net, ResNet, Python -
Multi-Agent Stock Analysis System using LangGraph
Multi-agent system for qualitative and quantitative stock analysis using LangGraph, LangChain, and Azure OpenAI.
Tech: LangGraph, LangChain, Azure OpenAI, YFinance, Tavily API, Exa API, Python -
Inventory Management System (E-Commerce Website)
E-commerce platform with secure payments, admin panel, and optimized performance.
Tech: HTML, CSS, MySQL, JavaScript, ReactJS -
Unique Dog Identification Using CNN
CNN-based model (VGG-16) for dog face recognition (96.88% accuracy), with robust image augmentation.
Tech: Python, TensorFlow, VGG-16, CNN, Deep Learning
- KodeKloud: Kubernetes for the Absolute Beginners and JSON Path Test
- Coursera: IBM Back-End Development (Nov'24)
- Udemy: The Complete 2022 Web Development Bootcamp (Dec'22)
- Utkarsh Volunteer | VIT Social Welfare and Development
Taught 30+ students from disadvantaged backgrounds, improving their literacy and life skills.
