Develop
Backend systems
Designing product-critical APIs, workers, data flows, and operational services that stay boring under pressure.PythonGoFastAPIPostgreSQLRedis
About me
Iturnmessy😭workflowsintoclearsystems.APIs,queues,search,andagents🤖shouldstayboringunderpressure.Lessnoise.Moresignals⚡teamscanacton.
WhatI do
Automate
AI workflows
Turning scattered research, enrichment, search, and generation loops into reliable agent-facing systems.RAGLangGraphSearch APIsCeleryLLMs
Shape
Product engineering
Clarifying the system, the interface, and the operational contract so teams can ship with less guesswork.PlanningArchitectureObservabilityDX
My career and experiences
Senior Software Engineer
SubscriptionPro
NOW
Build AUREV, a multi-channel AI concierge platform for luxury travel, end-to-end — architecture, backend services, agentic workflows, and the React and TypeScript operator web app — across WhatsApp, email, voice, and web.
Full Stack Software Engineer
SoftStandard Solutions
2025
Built backends for three AI SaaS products — sales automation (Oppora AI), AI-native search, and marketing automation — with FastAPI, Django REST Framework, PostgreSQL, MongoDB, Redis, and Celery.
Software Engineer
Humana Apparels (Ha-Meem Group)
2025
Built ProTrac, a real-time production-floor tracking system with interactive dashboards and live data visualizations — bottleneck detection, defects-per-hundred-units (DHU), and plan-vs-actual progress — replacing day-late manual reporting with live floor-to-management signals at one of Bangladesh's largest apparel manufacturers.
Software Engineer
Hours Media Ltd
2023
Built and operated backend services for client products — a reselling platform, a micro-investing platform, and e-commerce systems — using Python and Next.js on PostgreSQL.
RAG
PostgreSQL
Go
Pinecone
Kubernetes
Pydantic
Vector DB
LLMs
FastAPI
LangGraph
Django
Systems for AI workloads
Tools I reach for when the system has to hold.
AI and Agents
AI/search
RAG, agents, source-aware retrieval.
Agentic WorkflowsMCP (Model Context Protocol)RAG
Service edges
APIs
Service edges and background workers.
PythonFastAPI
System path
Build path
Search, APIs, data, product.
AI and AgentsService edgesReliability base
Reliability base
Data core
Storage, queues, deploys, and recovery paths.
PostgreSQLRedis (Streams)MongoDB
Reliability base
Product surface
Interfaces where workflows become usable.
PostgreSQLRedis (Streams)
Working set
Practical stack
A compact slice grouped by layer.
AI and AgentsService edgesReliability baseReliability base
