Shwetanshu Bhatt
Backend Developer|AI Systems|Python|Freelancer
Building production-scale AI-integrated backend systems. Reduced operational costs by 95% and generation time by 90% with fault-tolerant architectures.
About Me
I'm a Backend Developer specializing in production-scale AI-integrated backend systems. I have hands-on experience building an internal QA Engine used in production that automated technical question generation, reducing operational cost by 95% and generation time by 90%.
I'm experienced in designing fault-tolerant architectures using Python, PostgreSQL, concurrency control, and multi-AI integration. My work involves building robust backend systems that can handle autonomous long-running execution with features like lease-based locking, crash recovery, and deterministic ID generation.
Skills
A comprehensive toolkit built for building robust, scalable backend systems
Languages
Backend
AI Systems
Web
Tools
Core CS
Experience
Software Engineering Intern
Neoveda Technologies
- ▹Built backend systems from scratch using Python and PostgreSQL to support automated workflows
- ▹Developed internal QA Engine that automated MCQ generation and validation pipeline
- ▹Implemented lease-based locking, crash recovery, deterministic ID generation, and retry pipelines
- ▹Integrated multiple AI providers (Groq, OpenAI, Gemini) with validation and correction layers
- ▹Designed fault-tolerant, database-driven architecture capable of autonomous long-running execution
Education
B.Tech in Computer Science Engineering
Graphic Era Hill University, Dehradun
2024 – 2027
Currently Pursuing
Diploma in Engineering
Government Polytechnic Dehradun
2022 – 2024
CGPA: 8
Class 12
Kendriya Vidyalaya Uttarkashi (CBSE)
2021 – 2022
78%
Class 10
Masseeh Dilasa School, Uttarkashi (ICSE)
2019 – 2020
90%
Projects
Building scalable solutions with modern technologies
QA Engine
Production-scale backend system to autonomously generate and validate technical MCQs. Reduced question generation cost by 95% and generation time by 90%.
AI Stock Price Predictor Demo
Machine learning model that predicts next-day open and close stock prices using historical OHLCV market data. Features data preprocessing, feature scaling, and model evaluation with MAE/RMSE metrics.
StudySync
Full-stack collaborative learning platform with role-based system, real-time chat via WebSockets, file uploads to Cloudinary, and JWT authentication. Teachers upload notes, students browse by branch/year/semester.
Haptic Hearing System
Wearable assistive technology that converts environmental sounds into vibration signals. System captures surrounding sound, processes signals to filter meaningful sounds, and provides directional feedback via two wristbands with vibration intensity representing distance/loudness.
Portfolio Website
Built responsive developer portfolio with modern UI and optimized performance.
Hostel Management System
Backend system to manage hostels, rooms, and student records. Designed database schema and implemented backend logic.