Full-Stack Developer with AI Focus

VINAY KUSHWAHA

linkedin.com/in/vinay-kushwaha-***9a828a/ ***************@*****.***

GitHub: 782-***-****

LinkedIn: E-mail:

Phone no.: Location: Delhi

Languages: Python, JavaScript, C, HTML, CSS

Frameworks & Libraries: React.js, Node.js, Express.js, Flutter, React Native, Django REST Framework Databases: MySQL, MongoDB

Tools: Git, GitHub, Postman, Visual Studio Code

SKILLS

INTERNSHIPS

Delivered feature-level Flutter components adopted into the production mobile application, contributing to a 25% improvement in UI consistency and user interaction flow. Identified and fixed critical UI and logic issues, resulting in a 30% reduction in app crashes and improving responsiveness.

Supported QA and release readiness through thorough testing and debugging cycles. Flutter Intern

Origincore tech

Dart, Flutter SDK, Flutter BLoC, Material UI

PROJECTS

EDUCATION

Guru Gobin Singh Indraprastha University (GGSIPU)

Bachelor of Technology (B.Tech)

Artificial Intelligence and Machine Learning

St. Mary's Public School (CBSE)

Class 10th - 84% Class 12th - 73%

ACHIEVEMENTS

Flutter Development, Brain Mentors Pvt Ltd (July 2024 - August 2024) Intro to Deep Learning, Kaggle

Intermediate Machine Learning, Kaggle

Tcs ion nqt - 75% (December 2025) Link

Tcs ion nqt - Psychometric (December 2025) Link

JobSync

AI-powered job tracker that auto-categorizes and extracts job applications from Gmail. Implemented secure Gmail OAuth integration to fetch recent emails and applied AI-based parsing to accurately identify and extract job application data from non-relevant messages. User-friendly dashboard to manage job applications with customizable fields and AI-driven updates. GitHub

Trade Engine

Built an automated trading engine using Python, Lumibot, and Alpaca APIs. Integrated real-time trade execution and historical backtesting for strategy validation. Implemented an error-handling system for automatic portfolio optimization and retry logic. GitHub

Aug 2025 - Nov 2025

Sec-48 JMD megapolis, Gurugram

ML Intern

Tecraki

Built and shipped a context-aware medical chatbot adopted as a core conversational module for the startup’s product.

Designed a hybrid LLM architecture (Gemini + local GGUF) with FAISS-based retrieval, improving response consistency by 30% and reducing reliance on cloud-only inference.

Python, RAG, FAISS, LLM Apr 2025 - Jun 2025

Remote

Javascript, Next.js, Express.js, OAuth, GeminiAPI

Python, Lumibot, Alpaca, Torch, Yfinance

github.com/Vkushwahaa

live

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