SSB / 26

Independent software engineer / Dehradun, IN

Buildthehard part.

Building production-scale AI-integrated backend systems. Reduced generation time by 90% with fault-tolerant architectures. I care about the seams: failure states, useful abstractions, and software that stays calm under load.

Profile / 001Available
Shwetanshu Bhatt
Shwetanshu
Bhatt
Backend
+ AI systems
Currently buildingReliable things
Scroll to inspect
About the work

Systems with a point of view.

I'm a backend developer and AI systems engineer who likes turning ambiguous ideas into dependable products. My strongest work lives where product thinking meets infrastructure: data models, job orchestration, APIs, and the little decisions that keep a system observable and recoverable.

90%faster generation time
AI providers integrated
1production engine shipped
Working stack

A stack for the messy parts.

Languages

PythonJavaScriptC++

Backend

PostgreSQLREST APIsDatabase DesignConcurrency Control

AI Systems

OpenAI APIGroq APIGemini APIPrompt EngineeringAI Integration

Web

Next.jsTailwind CSS

Tools

GitLinuxDocker

Core CS

Data StructuresAlgorithmsSystem Design
Experience

Proof, not promises.

Oct 2025 – Feb 202601 / 01

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
90% Time ReductionMulti-AI IntegrationFault-Tolerant Pipelines
The long game

Still learning.

B.Tech in Computer Science EngineeringGraphic Era Hill University, Dehradun2024 – 2027Currently Pursuing
Diploma in EngineeringGovernment Polytechnic Dehradun2022 – 2024CGPA: 8
Class 12Kendriya Vidyalaya Uttarkashi (CBSE)2021 – 202278%
Class 10Masseeh Dilasa School, Uttarkashi (ICSE)2019 – 202090%
Selected work

Things I've shipped.

A small archive of production-minded builds, experiments, and systems that earned their complexity.

Case study / 001

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.

Case study / 002

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.

Case study / 003

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.

Case study / 004

Portfolio Website

Built responsive developer portfolio with modern UI and optimized performance.

Case study / 005

Hostel Management System

Backend system to manage hostels, rooms, and student records. Designed database schema and implemented backend logic.

Next / Let's work

Make the hard part boring.

Have a real problem to solve?shwetanshubhatt@gmail.com

Tell me what is stuck, what is slow, or what needs to exist. I'll get back to you with a clear next step.