I build intelligent software systems and production-oriented backend infrastructure.
My work sits at the intersection of Machine Learning, Explainable AI, software engineering, and scalable systems. I enjoy taking an idea from research or architecture all the way to a working system.
Currently, I'm building products through InitZone and exploring research problems around dependable intelligent systems, AI/ML reliability, and AI-driven software engineering.
I like understanding how systems work under the hood, not just making them work.
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A production-oriented AI system that analyzes resumes against job descriptions and generates truthful, evidence-grounded, ATS-friendly optimizations.
Stack
Python Django DRF Next.js TypeScript PostgreSQL Redis Gemini LangGraph RAG FAISS Docker Jenkins Ansible Prometheus Grafana Loki
Engineering ideas
- Multi-agent AI
- Hybrid RAG
- Deterministic ATS scoring
- Evidence-grounded generation
- Zero-fabrication architecture
- Prompt-injection protection
- Automated evaluation
- CI/CD & infrastructure automation
- Production observability
Core principle: optimize the candidate's real experience, never invent it.
A distributed job processing and orchestration platform built to explore how reliable background workloads can be scheduled, executed, monitored, retried, and recovered across distributed workers.
Stack
Python Django DRF PostgreSQL Redis Channels WebSockets Docker Prometheus Grafana Loki OpenTelemetry Tempo
Engineering ideas
- Multi-tenancy
- RBAC
- Idempotent job submission
- Priority queues
- Concurrency control
- Worker heartbeats
- Zombie job recovery
- Retry with exponential backoff + jitter
- Distributed rate limiting
- Scoped API keys
- Real-time job updates
- Metrics, logging & tracing
Core principle: distributed systems should be designed for failure, not just the happy path.
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AI-powered resume analysis, optimization, retrieval, evaluation, and evidence validation. |
Distributed job processing, queue management, worker execution, recovery, and observability. |
Architecture diagrams and engineering experiments from systems I build.
My research interests focus on the intersection of Machine Learning, Explainable AI, predictive modeling, and dependable intelligent systems.
| Area | Work |
|---|---|
| 🧠 Healthcare AI | Brain Stroke Prediction using Machine Learning |
| ₿ Financial AI | Bitcoin Price Forecasting |
| 🔍 Explainable AI | Feature Selection & Explainable Predictive Modeling |
| 🤖 Intelligent Systems | Reliability and evaluation of AI/ML systems |
- 📄 Peer-reviewed research on Bitcoin Price Forecasting
- 🧠 Research on Brain Stroke Prediction using Machine Learning
- 🎓 First-author research presented at IEEE conferences, including ICICT4SD and ICCIT
I'm currently exploring research problems involving:
Machine Learning · XAI · NLP · LLMs · AI-driven Software Engineering · Dependable AI · AI/ML Reliability
I'm the Founder of InitZone, a technology and software company focused on building digital products, platforms, and intelligent systems.
📖 Portulika
A reading and writing platform connecting writers and readers through stories, series, chapters, subscriptions, and digital publishing.
⚽ TurfzBD
A platform focused on simplifying turf discovery and sports-slot booking.
🧩 InitZone
The engineering and product ecosystem behind our digital products and intelligent systems.
Python · Django · Django REST Framework · FastAPI
PostgreSQL · MySQL · SQLite · Redis
React · Next.js · TypeScript · Tailwind CSS
Docker · Linux · Nginx · GitHub Actions · Jenkins · Ansible
Prometheus · Grafana · Loki · OpenTelemetry · Tempo
Machine Learning · Explainable AI · LLMs · RAG · FAISS · LangGraph
3× ICPC Asia Dhaka Regional Contestant
- 🥇 ICPC Asia Dhaka Regional — 2021, 2022, 2023
- 🧠 700+ algorithmic problems solved
- 🏁 Multiple IUPC contests including SUST and CUET
- 👨💻 Former General Secretary, BAIUST Computer Club
- 🧩 IUPC problem setter & judge
Competitive programming shaped the way I approach algorithms, complexity, debugging, and problem decomposition.
Taught courses and labs involving:
Data Structures · Algorithms · Discrete Mathematics · Structured Programming · Numerical Analysis
Trained 50+ participants in Python/Django under the EDGE project.
- 🎤 CSE FEST 2025 speaker
- 🧩 CSE FEST 2023 IUPC problem setter & judge
- 👨🏫 Competitive programming and software engineering mentorship
System Design
Distributed Systems
Redis Internals
Kubernetes
Scalable Backend Architecture
Production AI/ML
Dependable Intelligent Systems
Build. Research. Learn. Repeat.
Thanks for stopping by 👋