Hello, I'm

Muhammad Hashir Bin Khalid

AI/ML Engineer & Product Architect

About Me
Muhammad Hashir Bin Khalid

About Me

I'm a Pakistani Fulbrighter with a Master's in Computer Science from New York University — an AI/ML engineer and product architect with ~9 years building intelligent systems. I've contributed to commercial AI products across computer vision, NLP, and IoT, and I currently work on agentic AI harnesses, LLM systems, and large-scale BigQuery data pipelines. I'm passionate about using technology to improve human lifestyle.

  • Name Muhammad Hashir Bin Khalid
  • e-mail mohammadhashirbinkhalid@gmail.com
Download Resume Contact Me

What I do

AI/ML & Deep Learning

End-to-end machine learning and deep learning — from data to trained, production-ready models.

Computer Vision

Detection, segmentation, classification, medical imaging, and emotion recognition.

NLP, LLMs & Agentic AI

Language models, intent understanding, and multi-agent / agentic AI harnesses.

Data Pipelines & BigQuery

Large-scale data pipelines and analytics on BigQuery and big-data stacks.

Embedded Systems & IoT

Firmware, control circuits, sensing, and connected IoT devices.

Product Architecture & Leadership

Architecting AI products and leading teams from research to shipped product.

Skills & Tech Stack

AI / ML

TensorFlowKerasPyTorchscikit-learnDeep LearningClassical ML

Domains

Computer VisionNLP & LLMsAgentic AIForecasting & OptimizationMedical Imaging

Data

BigQueryHive / HadoopData Pipelines

Embedded / IoT

Embedded CMCU / FirmwareSensorsWi-Fi / BLE

Languages

PythonCC++JavaMATLAB

  • Education

  • MSc in Computer Science - New York University

    2020 - 2022

    Completed my 2-year Master's degree in Computer Science on the Fulbright Scholarship

  • B.E. in Electronic Engineering - NEDUET

    2014 - 2017

    Completed my 4-year Bachelor's degree in Electronic Engineering with Distinction (Gold Medalist)

  • Experience

  • Senior ML Engineer / Product Architect - Hyly.AI

    Dec 2024 - Present

    Leading AI, ML and NLP product architecture and development at Hyly.AI

  • ML Engineer - Hyly.AI

    Dec 2023 - Nov 2024

    Working on different AI, ML and NLP technologies

  • Team Lead - NCL NEDUET.

    Aug 2022 - Dec 2023

    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.

  • Senior Machine Learning Engineer - Lambda Theta

    Sep 2022 - Nov 2023

    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.

  • Research Associate - NCL National Center of AI

    Sep 2020 - Aug 2021

    Lead team of developers working on Machine Learning, A.I., Firmware development, embedded systems and product development.

  • Artificial Intelligence Engineer - Instrumentation Center, NED

    Dec 2017 - Aug 2020

    Worked on development IoT circuit of Smart Fans Project. Also worked on development and training of A.I. system for Smart Fans.

Awards & Honors

Fulbright Scholarship

Fully-funded U.S. scholarship for the Master's at New York University.

NYU GSAS Full Tuition Scholarship

Graduate School of Arts & Science full-tuition award for the Master's.

Gold Medal — NED University

Highest CGPA in the graduating batch.

Gold Medal — Institution of Engineers Pakistan

1st position in undergraduate studies.

Huawei Certified — Artificial Intelligence

Certified ICT Associate in AI, and AI Academy Instructor (Presidential Nominee).

Studied under Yann LeCun

Deep Learning at New York University.

Publications

7 peer-reviewed publications · IEEE · Elsevier · MDPI · 2021–2026

Scalable Optimization of Ultra-Dense Heterogeneous Networks Using Stochastic Geometry and Deep Learning Techniques

Amna Shabbir, Muhammad Hashir Bin Khalid, Hashim Raza Khan, Kamran Arshad, Khaled Assaleh

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

Deep LearningWirelessEnergy Efficiency
Read paper →

Fuzzy MRAS Speed Sensorless Induction Motor Drive Control for Electric Vehicles

Saqib Jamshed Rind, Saba Javed, Hashim Raza Khan, Muhammad Hashir Bin Khalid, Kamran Arshad, Khaled Assaleh

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

EVMotor ControlFuzzy Logic
Read paper →

Design and Development of a Configurable High Voltage Power Supply for Atmospheric Plasma Generation

Taha Amjad, Muhammad Hashir Bin Khalid, Mubbshir Saleem, Hashim Raza Khan, Kamran Arshad, Khaled Assaleh

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

Power ElectronicsEmbeddedHigh Voltage
Read paper →

A Low-Cost Energy Monitoring System with Universal Compatibility and Real-Time Visualization for Enhanced Accessibility and Power Savings

Hashim Raza Khan, Majida Kazmi, Lubaba, Muhammad Hashir Bin Khalid, Urooj Alam, Kamran Arshad, Khaled Assaleh, Saad Ahmed Qazi

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

IoTEnergy MonitoringEmbedded
Read paper →

Dataset of Usage Pattern and Energy Analysis of an Internet of Things-Enabled Ceiling Fan

Hashim Raza Khan, Muhammad Hashir Bin Khalid, Urooj Alam, Mahnoor Atiq, Uvais Qidwai, Saad Ahmed Qazi

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

IoTDatasetEnergy
Read paper →

Threefold Optimized Forecasting of Electricity Consumption in Higher Education Institutions

Majida Kazmi, Hashim Raza Khan, Muhammad Hashir Bin Khalid, Saad Ahmed Qazi

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

Machine LearningForecastingEnergy
Read paper →

An Isolated Power Factor Corrected Cuk Converter with Integrated Magnetics for Brushless DC Ceiling Fan Applications

Hashim Raza Khan, Majida Kazmi, Haris Bin Ashraf, Muhammad Hashir Bin Khalid, Abul Hasan, Saad Ahmed Qazi

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

Power ElectronicsMotor DrivesPFC
Read paper →
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Projects

Products & research · Computer Vision · NLP & Agentic AI · IoT · EV

DeployedRoboChotu autism assistant robot

RoboChotu — Autism Assistant Robot

Contributed to RoboChotu, a social robot that helps therapists teach autistic children — emotion recognition and a multilingual chatbot. Tested at 3–5 autism centers; HEC/NCAI-funded.

AIRoboticsHealthcare
Page
DeployedSmartFan AI ceiling fan

SmartFan — AI Ceiling Fan

Contributed to SmartFan, an AI ceiling fan that learns usage and saves energy — including the ML models and the MCU control circuit. Deployed across residential and commercial sites, saving thousands of kWh.

IoTAIEnergy
Product
DeployedINSTRUX energy monitoring platform

INSTRUX — Energy Monitoring

Contributed to INSTRUX, a real-time energy-monitoring platform — including the embedded metering hardware. Deployed at multiple sites including NED University, Oh My Grill, and Rainbow Textile.

IoTEmbeddedEnergy
Product Paper
Road condition monitoring

Road Condition Monitoring & Crack Detection

Contributed to a deep-learning road-condition system — crack detection, classification, and severity estimation on large real-world road imagery (delivered to ELM).

Computer VisionDeep Learning
AIM Motors EV ecosystem

AIM Motors EV Ecosystem

Contributed to a full electric-mobility solution — e-bike, swappable battery with BMS, anti-theft pairing, and a city swapping network, with AI for range prediction and battery-supply planning. Delivered to AIM-GE (USA) and field-tested.

EVEmbeddedAI
Robothon meta-ML platform

Robothon — Meta-ML Platform

Contributed to Robothon, an NYU capstone meta-ML platform where ML bots compete to predict ADHD/ASD stress and recommend an Apple Watch activity.

Machine LearningAutoMLHealthcare
DARPA Machine Common Sense

Machine Common Sense (DARPA)

Contributed to NYU's part of DARPA's Machine Common Sense program — computer-vision and simulation work (Prof. Rob Fergus).

AIComputer VisionResearch
DARPA program
Lung trauma X-ray predictor

Lung Trauma Injury Predictor

Contributed to a chest-X-ray lung-trauma injury predictor with Aga Khan University Hospital — deep learning with transfer learning, with promising accuracy.

Computer VisionMedical ImagingHealthcare
7

Publications

3

Products Contributed To

8

Projects Delivered

9

Years in AI / ML

Get in Touch

Interested in working together, or have a question? I'd love to hear from you.

mohammadhashirbinkhalid@gmail.com

Email Me