Hi, I'm Shourya Pratap.
Crafting the future of software by combining agentic AI workflows with high-performance architectures.
Driven by intelligence.
Built for scale.
I'm Shourya Pratap, a B.Tech Artificial Intelligence student at Newton School of Technology and a proud selectee of the Amazon ML Summer School 2026 — chosen from 1,30,000+ applicants at a 2.3% acceptance rate, placing me among India's top emerging AI engineers.
As a Full Stack Developer Intern at Brightpoint Studios Pvt. Ltd. (Jan – Jun 2026), I engineered 15+ interactive web experiences using HTML5, CSS3, JavaScript, and Phaser.js — architecting reusable module systems that cut codebase overhead by 30% and resolved 50+ critical client-side performance bottlenecks across browsers and devices.
On the AI side, I build production-ready intelligent systems — stateful multi-agent pipelines with LangGraph, vector search via FAISS RAG, and LLM integrations with OpenAI & Gemini. I'm also an active open source contributor to projects including Zulip, Rocket.Chat, Wagtail, Joplin, and CNCF — with verified PRs from GirlScript Summer of Code and Hacktoberfest.
300+
DSA Problems Solved
LeetCode & Competitive Programming
15+
Interactive Web Apps
Phaser.js, Next.js, and scaling backends
Active
Open Source Contributor
Zulip · Rocket.Chat · Wagtail · Joplin · CNCF
Recruiter Highlights
Amazon ML Summer School 2026
Amazon · Highly Competitive Programme • 2026
Selected from thousands of applicants across India for Amazon's elite ML programme. Learning from Amazon scientists & engineers across ML, Deep Learning, LLMs, Generative AI, and production-scale AI systems.
Full Stack Developer Intern
Brightpoint Studios Pvt. Ltd. • Jan 2026 – Jun 2026
Built 15+ interactive web experiences, engineered reusable modules reducing codebase overhead by 30%, and optimized rendering speed to improve cross-browser compatibility.
B.Tech in Artificial Intelligence
Newton School of Technology • Expected 2027
Focused on ML modeling, data structures, algorithm design, and integrating agentic reasoning models into modern web frameworks.
Technical Stack
Languages
Frameworks & Libraries
Databases & AI Tools
My core expertise.
Full Stack Universe
I engineer responsive, modern, and high-performance web applications using robust frontends and secure, data-backed backends.
React
Developing interactive user interfaces, custom React hooks, state management, and optimized web render cycles.
Complete Skills Directory
Scroll through my comprehensive technology index.
A closer look at what I build.
Scroll through intelligent products, automated pipelines, and production-ready architectures.
Professional Journey.
A history of my internships, contributions, and active community participation.
Amazon ML Summer School 2026
Selected Participant · Machine Learning Programme
Selected for Amazon's highly competitive machine learning programme from over 1,30,000 applicants across India — a 2.3% acceptance rate. Learning directly from Amazon scientists and engineers across sessions on modern ML, Deep Learning, Large Language Models, Generative AI, and production-scale AI systems.
Brightpoint Studios Pvt. Ltd.
Full Stack Developer Intern
Engineered 15+ interactive web experiences with smooth graphics and state lifecycles. Created reusable modular packages that reduced setup overhead by 30%. Solved 50+ critical client-side bottlenecks to ensure cross-device consistency and optimal frame rates.
GirlScript Summer of Code
Open Source Contributor
Contributed to various community repositories, improving interface responsiveness and fixing critical bugs in React-based frameworks.
Hacktoberfest
Open Source Contributor
Successfully submitted verified PRs to multiple repositories, collaborating with maintainers to add features and write clean documentation.
Open Source Contributions
Developer
Maintain and contribute to developer utility libraries, backend engines, and agentic AI integrations in the public GitHub community.
Built for the big leagues.
Amazon ML Summer School 2026
Machine Learning Programme by Amazon · India
Selected for one of India's most prestigious machine learning programmes conducted by Amazon. Expanding expertise across advanced ML, production AI systems, and real-world model deployment under direct mentorship of Amazon scientists and engineers.
Selected from 1,30,000+ applicants across India — only 3,000 chosen
Curriculum: ML, Deep Learning, LLMs & Generative AI by Amazon scientists
Direct mentorship from Amazon engineers on production-scale AI
2.3% acceptance — one of the most competitive ML programmes in India
SchoolAmazon · 2026
The metrics speak.
DSA Questions
Codeforces Rating
Projects Built
Open Source PRs