Hi Guys!
I am a Pakistani Fulbrighter with Masters in Computer Science from New York University. I am enthusiastic about using technology to improve human lifestyle.
- Name Muhammad Hashir Bin Khalid
- e-mail mohammadhashirbinkhalid@gmail.com
AI and ML Engineer
I am a Pakistani Fulbrighter with Masters in Computer Science from New York University. I am enthusiastic about using technology to improve human lifestyle.
Extensive experience working on embedded system programming and development
Worked on Tabular data analysis, Computer vision, NLP, Machine-Common-Sense, ML system development
Consultancy for technology solutions related to embedded systems, data analysis, product development, software development and computer vision.
Completed my 2-year Masters Degree in Computer Science on Fulbright Scholarship
Completed my 4 year Bachelors Degree in Electronic Engineering with Summa Cum Laude Summa Cum Laude (Gold Medalist)
Leading AI, ML and NLP product architecture and development at Hyly.AI
Working on different AI, ML and NLP technologies
Working as Technical Team Lead on development of Electric bike for AIM-GE LLC USA and AIM-motors Pvt. Ltd. Leading Software, AI and Firmware development teams working on Artificial Intelligence, Green Energy and Mobility solutions.
Leading a team of Artificial Intelligence and Computer vision developers working on different local and international projects. Worked with ELM on road condition monitoring, crack detection and classification, and crack severity estimation using different deep learning and computer vision techniques.
Lead team of developers working on Machine Learning, A.I., Firmware development, embedded systems and product development.
Worked on development IoT circuit of Smart Fans Project. Also worked on development and training of A.I. system for Smart Fans.
7 peer-reviewed publications · IEEE · Elsevier · MDPI · 2021–2026
Combines stochastic geometry with deep learning to optimize energy efficiency in ultra-dense 5G networks under practical QoS constraints.
AI, vol. 7, no. 2, art. 76 2026 · MDPI
Read paper →A fuzzy-logic MRAS observer for sensorless induction-motor speed estimation in EVs — robust to load-torque disturbances.
Energies, vol. 19, no. 6, art. 1580 2026 · MDPI
Read paper →STM32-controlled push-pull inverter delivering an adjustable output up to ~20 kV for atmospheric plasma, with over-voltage and over-current protection.
2026 1st International Conference on Emerging Technologies and Engineering Systems (ICETES), pp. 348–353 2026 · IEEE
Read paper →A low-cost, universally-compatible IoT energy monitor with a secure real-time dashboard — about 40% cheaper to build than comparable systems.
Sustainability, vol. 16, no. 10, art. 4137 2024 · MDPI
Read paper →An open dataset logging BLDC ceiling-fan usage with temperature and humidity over Wi-Fi to enable energy-pattern analysis.
Data in Brief, vol. 46, art. 108900 2023 · Elsevier
Read paper →Compares ANN vs Random Forest for building load forecasting — Random Forest reaches 2.42% MAPE in real time.
Computers, Materials & Continua, vol. 73, no. 2 2022
Read paper →An isolated PFC Cuk converter with integrated magnetics for sensorless BLDC fan drives — cuts motor torque ripple to 2.14% at 0.999 power factor.
Electronics, vol. 10, no. 14, art. 1720 2021 · MDPI
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