Md Mofazzal Hosen · Software Engineer

Software engineer building AI systems that do real work.

I build full-stack and applied-ML systems for business operations, incident response, medical imaging, and hard perception problems. My best work makes probabilistic AI useful without giving it unchecked authority.

Full-stack systemsApplied AIEnterprise workflowsComputer visionReliable APIsResearch engineeringFull-stack systemsApplied AIEnterprise workflowsComputer visionReliable APIsResearch engineering
37
production routes shipped
119
tests in Sentinel
.853
thesis AP50
How I present projects
Context, ownership, evidence, and limits.

Production responsibility, not a keyword list.

Roles, scope, and concrete outcomes—with proprietary details kept appropriately bounded.

Apr 2026— Present

MAEKNIT Inc. · New York, USA · Remote

Junior Software Engineer

Building Python-based Odoo ERP modules on PostgreSQL for live business-operations workflows.

  • Extend production ERP workflows with maintainable Odoo modules and server-side business rules.
  • Implemented LLM tool calling and task execution through a dictionary-based registry that maps controlled tool requests to application functions.
PythonOdooPostgreSQLLLM tool calling
Apr 2025— Apr 2026

Algosoft Technologies Limited · Dhaka, Bangladesh

Full-Stack Software Engineer

Shipped a multi-module enterprise ERP/DMS spanning export/import compliance, reporting, support, and device tracking.

  • Shipped 37 Next.js/React routes across 8 modules and integrated more than 50 REST endpoints with caching and error boundaries.
  • Built an OpenAI-assisted review tool with confidence flagging that reduced manual report drafting by approximately 70%.
  • Delivered a production RAG chatbot across 8 knowledge categories and Python pipelines for PDF/web data extraction.
Next.jsReactTypeScriptPythonOpenAIRAG
Full experience and leadership

Measured work, with status made explicit.

Submitted manuscripts, active studies, and completed academic work are labeled separately so evidence is easy to audit.

Paper · 2026

Exercise Heart Rate Estimation Using Range-Covering Deep Learning on Wrist Photoplethysmography Signals

Range-Covering Deep Learning addresses scarce high-heart-rate training coverage by adapting a 76K-parameter wrist-PPG estimator with distribution and spectral targets. Adding 59 minutes of treadmill recordings reduced held-out MAE from 18.0 to 11.9 bpm and reduced error by 19%–40% across five external datasets, while held-out PPG-DaLiA subject error did not change detectably.

Submitted · under review

Latest research recordRead manuscript
Research details and methodology

KUET CSE, communities, and technical leadership.

Apr 2022 — Jun 2026

B.Sc. in Computer Science & Engineering

Khulna University of Engineering & Technology (KUET)

Education and academic work

K-MINDS — Machine Intelligence & Data Science Community

Technical Lead

Sep 2025 — Jul 2026

HACK — Hardware Acceleration Club, KUET

General Secretary

Mar 2024 — Jul 2026

BITFEST 2025 — KUET CSE National Fest

Junior Executive

Dec 2024 — Jan 2025

Let’s build something dependable.

If you are hiring for full-stack, backend, applied-AI, or research engineering, send the role and the problem you need solved. I normally reply within one business day.

Open to relevant opportunitiesDhaka, Bangladesh · UTC+6