Rust engineer with 4+ years shipping production backend and distributed systems. Currently building agentic-AI infrastructure at Infinitibit GmbH — a core contributor to the open-source Rust framework Graphbit — and previously wrote reference-grade Rust for frontier-model code training on contract for Anthropic (via Turing).

I like working close to the machine: async runtimes (Tokio), consensus and replication, high-performance services, and the storage and queue internals that sit underneath them. Fluent in Python and TypeScript too, but Rust is home.

📍 Dhaka, Bangladesh  ·  🌍 Open to remote roles  ·  🕐 Strong EU-timezone overlap

• ⚙️  High-performance backend services in Rust — Axum, Tokio, Tower
• 🔗  Distributed systems — consensus, replication, delivery semantics, idempotency
• 🗃️  Storage & data internals — write-ahead logs, indexing, caching
• ☁️  Systems & infra — Linux, Docker, AWS

• Distributed Job Queue — Redis-backed queue with a Tokio worker pool, at-least-once delivery, idempotency, retries, and leader election.  Rust · Tokio · Redis · Postgres  (in progress)
• Distributed KV Store — node/client clusters with a centralized registry.  Rust · Tokio
• P2P File Transfer — timeout-based peer discovery over UDP + TCP.  Rust · Tokio
• KafkaStream — streams live Android sensor data into Kafka over the local network.  Kafka · Docker · Nginx · Flask · Kotlin

• Graphbit — core contributor to a production Rust agentic-AI framework (open-source edition), working on performance, connectors, and the MCP / HITL layer.  Rust
• Hacktoberfest — multiple merged contributions across community projects, including Flavor Fusion, Tree To Hope, and others.

Languages  

Backend & Async  

Data  

Systems & Cloud  

Published: "Automatic Video Summarization using Deep Learning" — IEEE