// Robotics & AI Engineer

Umer Ahmed Baig
Mughal

Research-focused Robotics & AI Engineer with a passion for building intelligent machines that perceive, decide, and act. Specialized in autonomous systems, deep learning-driven perception, and adaptive control — turning complex algorithms into robust real-world solutions at the intersection of hardware and software.

Machine Learning Computer Vision Deep Learning Embedded Systems Robotic Motion Control Autonomous Systems Human-Robot Interaction

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0Publication

0Industry Years

0Hackathon Awards

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About

umer@itmo:~/ — profile.py

# ─── Researcher | Engineer | Builder ───────────

class UmerAhmedBaigMughal:

role = "MSc Robotics & AI Engineer"

university = "ITMO University, Saint Petersburg"

focus = ["Autonomous Systems", "Computer Vision", "Intelligent Control"]

industry_exp = "3+ years (R&D & Lab Management)"

publication = "IJGDC Vol.13 No.2 (2020)"

awards = ["1st Eng Hackathon", "1st Atomic Triathlon", "3rd Winter Hackathon"]

languages = ["Urdu (Native)", "English (Fluent)", "Russian (Learning)"]

"""

I build intelligent robotic systems — from perception algorithms

and control frameworks to deep learning pipelines for real-world

autonomous decision-making. My current research focuses on

AI-driven perception & adaptive control for smart infrastructure.

"""

print("Open to PhD roles, research collaborations & robotics engineering")

Umer Ahmed Baig

Phone +92 348 366 1218

LinkedIn umer-ahmed-baig7

GitHub umerahmedbaig7

Origin Karachi, Pakistan

Status ● Open to opportunities

Experience & Education

Accelerated Aging-Life Test System

My Lighting (Private) Limited

Lab Manager

09/2022 – 10/2024

Karachi, Pakistan

Developed and managed quality control and R&D protocols for indoor and outdoor lighting products, including photometric and goniophotometric measurements.
Generated IES design files, photometric reports, and validation data to ensure compliance with international lighting standards.
Led the R&D team in evaluating product samples, reviewing assembly and quality SOPs, and supervising junior staff.
Optimized workflow integration between hardware testing, software simulation, and data analysis pipelines.

Spectroradiometer

Pakistan Lighting LED Private Limited

Lab Engineer

02/2021 – 08/2022

Karachi, Pakistan

Developed and managed laboratory protocols for luminaire testing and IES file generation using DIALux.
Operated and calibrated precision instrumentation: spectroradiometers, SMT PCB assembly systems, laser-marking equipment, and LED driver test benches.
Optimized experimental workflows by integrating DIALux simulations with hardware testing, correlating electrical performance with photometric outcomes.
Organized and delivered training sessions on laboratory instrumentation and experimental procedures.

// Education

09/2024 – 08/2026

MSc Robotics & Artificial Intelligence

ITMO University

Saint Petersburg, Russia · CGPA: 4.9/5.0

01/2016 – 12/2019

BEng Electronic Engineering

Mehran University of Engineering & Technology

Jamshoro, Pakistan · CGPA: 3.01/4.0

08/2013 – 08/2015

Intermediate (Pre-Engineering)

College of Excellence for Boys

Hyderabad, Pakistan · 74.5%

04/2011 – 04/2013

Matriculation

Public School Hyderabad

Hyderabad, Pakistan · 76.2%

Skills & Expertise

Core Proficiency

Python92%

PyTorch / TensorFlow87%

OpenCV / Computer Vision85%

ROS / Robotics Middleware82%

C / C++82%

MATLAB / Simulink84%

MuJoCo / Gazebo Simulation83%

LabVIEW80%

NI Multisim80%

AI & Machine Learning

Deep LearningNeRF / 3D Reconstruction CNNs / SegNetAutoencoders Reinforcement LearningTransfer Learning Jupyter / Colab

Robotics & Control

PID ControlMPC DWA NavigationA* Path Planning EKF / UKFTrajectory Planning SLAMRobotic Motion Control

Embedded & Hardware

ArduinoSTM32 PCB DesignAutoCAD SMT AssemblyIoT Systems LiDAR Sensing

Tools & Professional

Git / GitHubDIALux Technical WritingProject Management Team LeadershipR&D Protocols

Projects

Featured

09/2025 – 02/2026

Depth-Supervised Neural Radiance Fields for Geometrically Consistent 3D Reconstruction

Systematic study enhancing NeRF training using structured depth supervision. Implemented four strategies — RGB-only, soft depth, hard geometric constraints, and hybrid. Achieved highest validation PSNR of 22.32 dB using hybrid strategy, outperforming RGB-only baseline by +2.4 dB.

NeRF3D ReconstructionPython PSNR / SSIMDepth Supervision

View Code

02/2025 – 06/2025

TriNav: A Tri-Layer Navigation Framework for Autonomous Mobile Robots

Hybrid navigation framework combining global (A*), local (DWA), and optimal control (MPC) layers. Simulated differential-drive robot motion in MuJoCo — achieving obstacle avoidance, trajectory tracking, and goal convergence with real-time performance.

MuJoCoA* / DWAMPC PIDROSPython

View Code

10/2018 – 10/2019

Self-Driving Car Using LiDAR Sensing and Image Processing

Framework using CNN / Mask R-CNN for enhanced environment perception and obstacle detection in autonomous vehicles. Validated through simulation and real-world testing. Published in International Journal of GDC (Vol. 13, No. 2, pp. 77–88).

CNNMask R-CNNLiDAR Computer VisionPublished

See Publication

MSc Coursework

Machine Learning in Robotics — End-to-End Pipeline Collection

Covers supervised image classification, binary segmentation with SegNet, unsupervised convolutional autoencoders with latent-space clustering, and reinforcement learning for robotic tasks. Implemented end-to-end pipelines in PyTorch with full evaluation metrics.

SegNetAutoencodersPyTorch RLJupyterITMO

View Code

View All on GitHub →

Publications & Research

GYRO NAV

2026

TriLayer-Nav: A Tri-Layer Navigation Framework Integrating A*, Dynamic Window Approach, and Model Predictive Control for Differential-Drive Robots

Gyroscopy and Navigation · Springer · Vol. 17, pp. 24–33 · Issue: March 2026

Mughal, U.A., Ali, A., Urwa, et al. "TriLayer-Nav: A Tri-Layer Navigation Framework Integrating A*, Dynamic Window Approach, and Model Predictive Control for Differential-Drive Robots." Gyroscopy and Navigation, vol. 17, pp. 24–33, 2026.

View Journal

IJGDC

2020

Self-Driving Car Using LiDAR Sensing and Image Processing

International Journal of Grid and Distributed Computing (IJGDC) · NADIA · ISSN: 2005-4262 · Vol. 13 No. 2

Umer Ahmed Baig, et al. "Self-Driving Car using Lidar Sensing and Image Processing." IJGDC, vol. 13, no. 2, pp. 77–88, 2020.

View Journal

// Awards & Achievements

28 June 2025

ObninskTech Summer University

ROSATOM & MEPhI · Obninsk, Russia

1st — Engineering Hackathon 1st — Atomic Triathlon

Designed an interactive website with chatbot integration for peaceful nuclear technology education. Won Atomic Triathlon competing alongside students from 40+ countries, demonstrating strategic thinking and problem-solving.

08 February 2025

ObninskTech Winter School

ROSATOM & MEPhI · Obninsk, Russia

3rd — Engineering Hackathon

Developed innovative engineering solutions in a competitive multidisciplinary environment. Collaborated with professionals from 39 countries, gaining hands-on exposure to nuclear technologies and global R&D practices.

28 September 2025

World Atomic Week — Global HackAtom

ROSATOM · Moscow, Russia · 35+ Countries · 1,200+ Participants

Participation Certificate

Represented ITMO University at the Global HackAtom championship, contributing to nuclear-technology innovation solutions. Engaged with industry experts across energy systems and global R&D trends.

HackAtom National Stage — Results →

Contact

Let's build something
intelligent together.

Open to PhD research opportunities, robotics/AI engineering roles, and research collaborations. Based in Saint Petersburg, originally from Karachi. I respond within 24 hours.