About Me

Over the past few years I've contributed as an AI Engineer, working alongside talented researchers and engineers on AI, software development and systems engineering projects. As our team continues to grow, my role is evolving toward technical leadership and project execution.

SysModeler.ai is a cloud-native platform that uses AI to automate and accelerate Model-Based Systems Engineering (MBSE). It generates all 9 types of standard SysML diagrams by interpreting natural-language descriptions, code snippets from over 20 programming languages, and real-time voice commands — then lets engineers refine them in a drag-and-drop editor. The approach speeds up design, improves collaboration and simplifies documentation, particularly for safety-critical industries.

Responsibilities:

• Develop research protocols, pipelines and methodology
• Process and analyse multiple types of raw data
• Automate research projects and fine-tune deep learning models
• Co-supervise and evaluate undergraduate thesis students
• Perform exam invigilation and lab classes when required

• Bengali speech recognition, diarization and synthesis
• Transliteration and standardisation of Bengali dialects
• Various Bengali text-to-speech projects; speech-to-IPA conversion
• Speech biometric system (voice signature authentication)
• AI-driven agentic agriculture support system
• Bengali humour and cultural roots with agentic AI
• Algorithmic Amnesia: an empirical study of Bengali folklore generation in LLMs
• LLMs for intelligent fault diagnosis and remedial strategy in power transmission systems
• AI-driven insights into microfiber pollution using LLMs for source identification

• Dr. Farig Yousuf Sadeque
• Dr. Golam Rabiul Alam
• Dr. S M Taiabul Haque
• Dr. Swakkhar Shatabda

• Dr. Syed Ishtiaque Ahmed
• Dr. Nusrat Jahan Mim
• Dr. Ashik Ahmed

Lead Academy approached me to design and deliver an NLP course by developing the pre-recorded content for it. I worked there as an instructor on a contractual basis, developing Natural Language Processing (NLP) for Beginners using Python — covering everything from the basics of NLP through deep learning models and existing large language models, with practical Python demonstrations throughout. See teaching →

Thesis: A character gram modeling approach towards Bengali Speech to Text with Regional Dialects Supervisor: Dr. Golam Rabiul Alam Publication: Are ASR foundation models generalized enough to capture features of regional dialects for low-resource languages? Courses: Advanced Artificial Intelligence (CSE710) · Symbolic Machine Learning (CSE711) · Natural Language Processing (CSE712) · Synthetic Pattern & Speech Recognition (CSE713) · Neural Networks & Fuzzy Systems (CSE715)· Data Science (CSE799)

Thesis: Efficient approach for reliability evaluation of the BUS4 distribution system considering momentary interruption Supervisor: Dr. A.S. Nazmul Huda Publication: Monte Carlo Simulation for Reliability Worth Assessment of Distribution System Considering Momentary Interruptions Coursework spanned: Electrical circuits and Devices, Energy conversion, Electromagnetic fields and Waves, Signals and Systems, Digital Electronics, Control systems, Communication engineering, Digital signal processing, Data communication, Microprocessors and interfacing, VLSI design, Digital communications and Wireless LAN fundamentals.