REHAN SHAIK
CSE Student @ VIT-AP | Web Development | Open Source
Amaravati, Andhra Pradesh, India
3rd-year CSE student at VIT-AP, currently exploring web development, backend, and AI. I enjoy building projects and taking part in hackathons, and I'm always interested in learning something new. I've been experimenting with different technologies and trying to understand not just how things work, but also how they can be put together to build something useful. I've worked on a few projects involving web applications and AI, and I'm currently spending more time learning backend development and exploring AI-powered applications. I enjoy the process of taking an idea, figuring out how to build it, running into problems, and eventually getting it to work. Hackathons have been a great way for me to do that while working with others and trying things outside my usual comfort zone. I'm also interested in open source, developer communities, and learning from people who are working on different kinds of projects. I'm always curious about how other developers approach problems, what technologies they're using, and what they've learned along the way. I'm here to learn from others, share ideas, meet people who are into building cool things, and hopefully find some people to collaborate with on interesting projects in the future.
AI Engineer Intern
The AI Signal
- Developed an AI research paper synchronization and classification system.
- Worked with Python, arXiv API, SQLite, Prisma, and Hugging Face.
- Built features for paper retrieval, metadata processing, and incremental updates.
Full Stack Developer Intern
Infosys Springboard
- Built backend REST APIs using Node.js and Express.js.
- Implemented JWT authentication, bcrypt password hashing, and API validation.
- Integrated MongoDB Atlas and developed transaction/dashboard functionality.
Engineered an asynchronous distributed data pipeline processing 3,000+ records from multiple public data sources using Python, AsyncIO, and SQLite. Designed a resilient extraction pipeline combining deterministic parsing, LLM fallback orchestration, structured validation, and automated retries for reliable large-scale data processing. Implemented semantic entity resolution using sentence-transformers and RapidFuzz, resolving 3,400+ entity relationships. Implemented telemetry, duplicate detection, retry mechanisms, dead-letter queues, and monitoring dashboards to improve observability and system reliabilit
Genesis — AI-Powered Application Generation Platform
Engineered a multi-stage AI pipeline transforming natural language prompts into validated application schemas through intent extraction, architecture generation, schema generation, and automated validation. Designed a validation engine executing 18 integrity checks using Zod schemas and intelligent field mapping for type-safe outputs. Built a self-healing schema repair system with automated retries, reducing validation failures. Developed an interactive runtime and analytics dashboard for real-time schema visualization and performance monitoring.
Saurashtra Character Recognition System
Developed an end-to-end OCR system for the low-resource Saurashtra script using CNNs and computer vision. Built and augmented a dataset of 850+ labeled images across 85 classes, achieving 99% training and 97–98% validation accuracy. Developed a real-time prediction interface for handwritten character recognition with confidence scores.
Degree: Bachelor of Technology — Computer Science and Engineering
VIT-AP University
Attendee · Oct 24, 2026