UK

Uttam Kumbhakar

Rust Backend Developer

Rust · Async backend systems · Local AI applications

Uttam Kumbhakar
Open to work
Rust Backend Developer
Jharkhand, India
06:54 (Local)
he/him

About

Backend developer focused primarily on Rust, building async backend systems, local AI applications, and developer tools. Experienced with Axum, Tokio, PostgreSQL, SQLx, authentication systems, and production API development. Currently deepening expertise in systems programming, concurrency, and local inference.

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Stack

16 tools
Rust Python SQL Axum Tokio SQLx FastAPI PostgreSQL REST APIs MongoDB Async Programming Concurrent Systems Docker DigitalOcean Cloudflare Git

Experience

Junior Backend Developer

Mar 2025 – Aug 2025
Async Integrations d.o.o. Remote (Zagreb, Croatia)
  • Developed backend services for a multi-tenant CRM platform using FastAPI and PostgreSQL.
  • Improved API performance through query optimization and database indexing.
  • Integrated the Pipedrive CRM API with retry logic and fault-tolerant error handling for reliable data synchronization.
  • Containerized and deployed services to DigitalOcean, managing production configuration and environments.

Projects

2026

🎙️

Boris — Local-First AI Voice Assistant

A local-first AI voice assistant for Windows with wake-word detection, speech recognition, LLM-driven tools, and speech synthesis. Superteam Grant recipient ($200 USDG).

  • Modular multi-crate Rust architecture for audio, inference, agent runtime, and desktop integration.
  • Agent capabilities including tools, sessions, memory, search, and approval-controlled shell execution.
  • Shipped as a Tauri v2 Windows desktop app with local inference and in-app updates.
StackRustTokioTauri v2ONNX RuntimecpalParakeetSilero VADSupertone

2026

🥗

Calorine API — Calorie Tracking & Fitness Backend

A production-grade REST API for calorie tracking and fitness, with secure authentication, image storage, and AI-powered meal analysis.

  • Google OAuth 2.0 and JWT authentication with CSRF protection and secure session handling.
  • AI-powered meal analysis pipeline using Cloudflare R2 and multimodal LLM inference.
  • Tokio concurrency, structured tracing, typed errors, and SQLx migrations across the backend.
StackRustAxumTokioPostgreSQLSQLxJWTGoogle OAuth 2.0Cloudflare R2OpenAI API

Education

Binod Bihari Mahto Koyalanchal University (BBMKU)

Bachelor of Commerce (B.Com)

2024 – 2028
UK