About Me

I'm Omor Al Tanim, a software engineer at Altersense. I integrate LLM agents into ERP systems, so AI can take real action inside the software a business already runs on, and I build the backend and integrations that keep it reliable in production.

I'm Omor Al Tanim, a software engineer at Altersense, based in Dhaka and open to remote work. Two years in, 8 delivered projects, and two IEEE papers. I own features end to end — requirements, backend, agent logic, deployment on AWS and GCP — and I've led reviews and onboarding for teammates. Available for full-time roles, freelance, and consulting.

I'm Omor Al Tanim, a software engineer at Altersense working on applied machine learning. My published work covers multimodal deep learning and hybrid LSTM–GARCH methods for stock price prediction on the Dhaka Stock Exchange, presented at IEEE IEMCON 2022 and IEEE CCWC 2023. Day to day I work on multi-agent orchestration, RAG, and grounding LLM output in real business records.

I'm Omor Al Tanim, a software engineer at Altersense. The stack: Python, FastAPI, Django on the backend, LangGraph and Semantic Kernel for agent orchestration, Next.js on the front, ERPNext and Frappe for the business layer, deployed with Docker on AWS and GCP. Mostly I wire models into systems that already exist and make them hold up under real traffic.

At Wafi Solutions, I built multi-agent customer support platforms and connected LangGraph agents to ERPNext workflows. Across 8 delivered projects in ecommerce, hospitality, real estate, and SaaS, I've owned the full cycle, from requirements to deployment on AWS and GCP. I also created MoCommerce, which delivers ecommerce storefronts, a connected ERP and AI customer support as one package that the client owns outright.

I hold a BSc in CSE from AUST and have published two IEEE papers on machine learning for stock price prediction.

Research Interests