AYUSH SHARMA

Jaipur, Rajasthan | +91 9460268832

PROFILE

B.Tech Computer Science student with a strong academic background specializing in backend development and AI applications. Passionate about building robust systems with AI intelligent features integrated. Actively seeking work opportunities to apply my problem-solving abilities and creative thinking within a forward-looking, high-impact engineering team.

EDUCATION

School of Engineering, JECRC University, Jaipur, Rajasthan 2023 – Present
  • B.Tech in Computer Science and Engineering | Current CGPA: 8.9/10
  • Relevant Coursework: Data Structures & Algorithms, Object-Oriented Programming, Database Management Systems (SQL), Google Cloud.
St. Mary’s Convent Sr. Sec. School, Jaipur, Rajasthan | CBSE Class XII | Percentage: 90.2% 2022 – 2023

TECHNICAL SKILLS

PROJECTS

Agentic AI Coding Assistant | GitHub MAR 2026
Tech Stack: FastAPI, React, Python, Gemini API, Tailwind CSS
  • Built an interactive AI coding assistant powered by Google Gemini that performs automated file and code operations.
  • Developed a web workspace featuring real-time response streaming, step-by-step progress tracking, and an interactive file viewer.
  • Implemented a sandboxed environment to guarantee safe file modifications and code execution within dedicated workspace limits.
OpenKYC – Biometric Verification Platform | GitHub SEP 2026 – OCT 2026
Tech Stack: FastAPI, React 19, Python 3.13, OpenCV, Gemini API, Web Audio API
  • Architected a zero-cost ($0 API budget) multi-modal KYC pipeline delivering automated ID extraction, 1:1 facial verification, and voice biometrics.
  • Integrated Google Gemini Flash for structured document OCR alongside OpenCV to detect and auto-crop ID portraits with smart boundary padding.
  • Built high-accuracy face and voice matching models locally, comparing live camera captures and voice recordings in milliseconds without sending user data to third-party APIs.
TGNJ Operations Platform | GitHub NOV 2025 – JUL 2026
Tech Stack: SQLite, Turso Cloud DB, Etsy OpenAPI, S3
  • Helped business scale output by 5x (from 20 to 120+ items/day) while cutting overall processing workload by 50%.
  • Designed an all-in-one desktop business app that connects local stock tracking, cloud photo storage, and Etsy store listing into a single automated workflow.
  • Automated label printing and order tracking, replacing manual spreadsheet data entry with instant sticker generation and real-time sales syncing.

Certifications