Software Engineer | Secure Systems Architect | Distributed Systems
3+ years building secure and performance-critical software across enterprise and embedded systems. Currently at Cleveron while pursuing an MSc in Computer Science at University of Tartu, specializing in distributed systems and AI.
Computer Engineer with 3+ years of experience building secure and performance-critical software across enterprise and embedded systems. Currently working as a Software Developer at Cleveron while pursuing an MSc in Computer Science at University of Tartu (2025–2027), focusing on Distributed Systems and AI.
I serve as a Teaching Assistant for Programming in C++ at the university, supporting lab evaluation and software engineering best practices. Previously at LMKR-Halliburton, I contributed to large-scale seismic interpretation systems using C/C++/Fortran/Java, with focus on legacy system modernization, secure coding, and CI/CD-driven vulnerability remediation. At TeReSol, I developed embedded AI-based systems using C++, Gstreamer, YOLO, and NVIDIA Jetson for real-time video processing.
I specialize in solving problems at the intersection of secure systems programming, legacy software modernization, and embedded software development. My foundation spans enterprise-scale Java systems, low-level C++ optimization, machine learning pipelines, and hardware-software integration.
Sep 2025 – Dec 2025 | University of Tartu
Deep learning-based facial image classification for early ASD screening using transfer learning. Evaluated EfficientNet, ResNet, DenseNet, Xception, and InceptionV3 with Grad-CAM interpretability.
Vulnerabilities Remediated
2024 – 2025 | Ongoing
Led enterprise-scale security remediation across multiple legacy and modern codebases (C/C++, Fortran, Java). Conducted comprehensive SAST scans using Fortify and GitLab SAST, identified 4000+ vulnerabilities, and implemented secure code practices reducing exposure to zero critical CVEs.
4000+ Vulnerabilities Fixed Zero Critical CVEs
Jul 2021 – Jun 2022 | Final Year Project
Designed three omnidirectional autonomous robots with synchronized coordination. Features: PCB design, microcontroller communication (I2C/UART), inverse kinematics, path planning, and collaborative object manipulation.
2nd Place Career Expo Fall'21 IGNITE NGIRI Funded
Currently Working
Real-time heart rate monitoring and data logging system. Features wireless data transmission, cloud integration, and analytics dashboard for health tracking and research applications.
May 2021 – Jun 2021
Embedded systems project using LDR sensors and servo motors to automatically play Chrome's Dino game. Demonstrates sensor interfacing, real-time control, and autonomous decision making.
Want to explore more?
View All Projects on GitHub
Cleveron | Current
Professional Position
University of Tartu | 2025-Present
Course: MTAT.03.158 | Instructor: Dr. Stefan Kuhn
LMKR-Halliburton | 2023-2025
Enterprise Software Development
TeReSol | 2022-2023
Hardware-Software Integration
2020 - Present
Engineers Australia, PEC, IEEE COMSATS
University of Tartu, Estonia
Sep 2025 - Present | CGPA: 5.0/5.0
COMSATS University Islamabad
Aug 2018 - Jul 2022 | CGPA: 3.69/4.0 | Rank: 2nd in Batch
Professional Engineer - Engineers Australia (EA)
Registered Professional Engineer
Registered Engineer - Pakistan Engineering Council (PEC)
Professional Registration
2nd Position in ROBIAN 2019
All Pakistan Robotic Contest
CCNA & Java Certifications
Cisco CCNA, C++ and Java from NICON Group
Whether you're interested in discussing a project, asking questions, or just saying hello, feel free to reach out!