AI Automation & Software Systems Engineer — building production-grade AI agents, multi-agent workflows, and backend infrastructures that scale.
I'm a B.Sc. graduate in Information and Communication Engineering (ICE) from Bangladesh University of Professionals (BUP), Dhaka. I'm deeply passionate about the intersection of AI, automation, and hardware verification.
My work spans building AI agent infrastructure, orchestrating multi-agent task systems with n8n and OpenAI, developing full-stack applications with React and Laravel, and designing robust backend systems — always with an eye toward automation and intelligence.
I believe great software should be invisible — working quietly behind the scenes to make human lives simpler and more efficient.
From AI workflow automation to low-level hardware verification — I work across the full spectrum.
Real-world systems built with production intent — not just demos.
A mega-infrastructure workflow that captures real estate leads, filters them using OpenAI based on client intent and budget, handles automated calendar scheduling for site visits, updates Supabase in real-time, and triggers live Telegram alerts. A full end-to-end AI pipeline with zero manual intervention.
Research and development of a deep learning pipeline utilizing CT imaging and DFD-Net architecture for automated pulmonary nodule classification and early-stage lung cancer detection.
End-to-end software testing infrastructure using Playwright and Python, covering automated test design, CI-ready pipelines, and quality assurance best practices for web applications.
Designed and built a full React frontend website and two internal dashboards (Supplier Relationship Management & Customer Relationship Management) for a garments buying house in Dhaka.
An intelligent email routing system using n8n and OpenAI to classify and auto-respond to inbound business queries — reducing manual triage by automating categorization and reply drafting.
A high-fidelity UI/UX design project grounded in user research, creating responsive and accessible interface prototypes in Figma.
Industry exposure building real systems for real users.
Deep Learning for Early Lung Cancer Detection — Developing a DFD-Net based pipeline utilizing CT imaging for automated pulmonary nodule classification. Researching both algorithmic accuracy and clinical applicability.
Where I'm headed — building deeper expertise across AI, hardware, and software quality.
Scale multi-agent orchestration pipelines for enterprise workflows — moving from prototypes to production-grade infrastructure handling real business data.
Advance expertise in large-scale distributed system design — microservices, event-driven architectures, and building resilient backend infrastructure for production AI products.
Publish the lung cancer detection thesis research and explore collaborations with medical institutions to bring AI diagnostics closer to clinical reality.
Build rigorous SQA expertise — combining Playwright E2E testing with AI-driven test generation to create smarter, faster QA pipelines.
Contribute meaningful tooling to the n8n ecosystem and open-source AI communities, giving back to the projects that shaped my work.
Pursue graduate research at the intersection of AI systems and semiconductor design — exploring opportunities locally and internationally.
Open to collaborations, job opportunities, and research discussions. Don't hesitate to reach out.