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Tonmoy Talukder
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BACKEND FOCUSED SWE

Tonmoy Talukder

Backend EngNLP Research

Backend-focused SWE building scalable systems, applied AI infrastructure, and low-resource NLP/CV solutions.

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Case Study

End-to-end case studies on distributed systems and production architecture. Each one documents the problem, constraints, decisions, tradeoffs, and lessons learned.

Featured Case Study

Distributed System · Full Case Study

KaryaFlow — Distributed Job Queue

Problem: Multi-tenant async task processing at scale with exactly-once semantics.
Design: Token-bucket rate limiting, Redis Lua atomics, K8s horizontal scaling, dead-letter queues.
GoRedisKubernetes

Other Case Studies

Bangla VQA Research Pipeline

Problem: Scalable annotation and quality-control pipeline for multimodal Bangla datasets.
Design: Distributed crawlers, quality filters, human-in-the-loop annotation, CLIP embeddings.
PythonHuggingFaceCLIP

Event Streaming & Audit Log

Problem: Zero-loss audit pipeline for compliance-critical multi-service events.
Design: Kafka consumer groups, schema registry, exactly-once producers, ClickHouse OLAP.
KafkaGoClickHouse

API Gateway Rate Limiter

Problem: Per-tenant rate limiting across 30K+ req/day with sub-5ms overhead.
Design: Atomic Redis Lua scripts, token-bucket algorithm, circuit breaker, OpenTelemetry tracing.
RedisNginxOpenTelemetry
Tonmoy Talukder

Backend focused full-stack Engineer, researching low-resource NLP and Computer Vision.

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Open to Backend / Infra roles · 2026

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