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Hitesh tyagiHT
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Hitesh tyagi

@hiteshtyagi

I build backend APIs and full-stack systems from requirements through deployment.

India
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What I'm looking for

I'm looking to build and ship backend or full-stack products end to end, contributing to API design, data systems, integrations, deployment, debugging, and collaborative Agile engineering.

I've built backend-heavy products including Visl Screen, a full-stack candidate screening platform with FastAPI, SQLite, GitHub and Google Calendar integrations, Gmail automation, and Railway deployment. I also built InvoiceGuard AI, a Dockerized FastAPI data pipeline using Isolation Forest and SHAP explainability for invoice anomaly detection.

At Park It Up, I designed backend data flows for real-time parking bookings using Google Maps APIs and Firebase, improving responsiveness by approximately 30%. I bring hands-on experience across REST APIs, NoSQL and relational data models, OAuth2, production debugging, Agile code review, Flutter, and cloud deployment.

Experience

Work history, roles, and key accomplishments

PU

App Development Intern

Park It Up

Jun 2025 - Aug 2025 (2 months)

Designed backend data flow for a geolocation-based parking platform, integrating Google Maps APIs and Firebase for real-time slot booking. Re-engineered Firestore query patterns and authentication workflows, improving app responsiveness by ~30% and reducing manual discovery steps by ~40%.

DR

Frontend Development Intern

DRDO

Jun 2025 - Jul 2025 (1 month)

Developed and code-reviewed 10+ internal application modules within an Agile sprint cycle, applying clean-code practices to improve usability and data consistency. Collaborated cross-functionally with backend and design teams to validate requirements and deliver scalable solutions.

Education

Degrees, certifications, and relevant coursework

Guru Gobind Singh Indraprastha University logoGU

Guru Gobind Singh Indraprastha University

Bachelor of Technology, Computer Science and Technology

2023 -

Grade: 8.00/10

Pursuing a Bachelor of Technology in Computer Science and Technology with a minor in Machine Learning and Data Analytics, maintaining a CGPA of 8.00/10.

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