About me

I'm a machine-learning engineer and educator — I like getting models out of the notebook and into something people can actually use, and I like teaching other people to do the same. I finished my MS in Computer Science at the University of Kentucky in May 2026, where my work sat at the intersection of deep learning, medical imaging and computational genomics.

Alongside the research I spent three semesters as a graduate teaching assistant at UKY, running the Software Engineering (CS216) and Introduction to Programming (CS215) labs for roughly 250 students and ranking among the department's best TAs. My route here ran through UET Lahore (BS Computer Science, CGPA 3.817, top 3 of the department), a US State Department Global UGRAD exchange semester at Fayetteville State University, and R&D work at Ibex Global, AxcelerateAI and Omdena.

Most recently I was a research assistant at the Markey Cancer Center, working on bulk RNA-Seq pipelines for pan-cancer analysis — HERV signatures linked to patient prognosis, and a controlled simulation benchmark for transposable-element quantification. I also work on LLM retrieval systems and on self-supervised learning for medical imaging, where labels are scarce and expensive. I'm currently open to ML/AI engineering and teaching roles.

Highlights & Successes

  • 5+

    Years of experience

  • 250+

    Students taught

  • 3

    Research publications

Featured Work

Career Snapshot

Teaching

  1. Graduate Teaching Assistant — CS Department

    University of Kentucky, KY

    • Ran the labs for Software Engineering (CS216) and Introduction to Programming (CS215), teaching roughly 250 students across three semesters.
    • Led walkthroughs, office hours, code review and grading — and was ranked among the best TAs in the department.
    • Two years total of teaching beginner to intermediate programming, Python, C++, data structures, algorithm analysis and OOP.
    CS215CS216PythonC++Mentoring

  2. External Examiner — CS Department

    UET Lahore

    Served as an external examiner for the undergraduate final-year project competition 2023.

    EvaluationCapstone projects

  3. Teaching Assistant — Data Structures & Algorithms

    UET Lahore

    • Ran undergraduate DSA labs — walkthroughs, code review and grading for a full cohort.
    • Helped students get from "it compiles" to "it's actually O(n log n)".
    C++AlgorithmsMentoring

  4. Instructor — Machine Learning Workshops

    Independent

    Taught hands-on machine learning across several training workshops, working through real datasets end-to-end rather than toy examples.

    scikit-learnJupyterCurriculum

Experience

  1. Analyst Software Engineer

    Ibex Global

    • Built enterprise-grade intelligent software inside the R&D team.
    • Worked on Ibex Sense, a computer-vision powered solution monitoring customer-service representatives' activity across global service campaigns.
    • Took models from prototype through to a deployable service running in production.
    Computer VisionOpenCVPythonC#

  2. Machine Learning Engineer

    AxcelerateAI

    • Built computer-vision and machine-learning solutions in the R&D team of a tech startup.
    • Developed English text-to-speech conversion pipelines and the tooling around them.
    PyTorchTTSFastAPI

  3. Junior Machine Learning Engineer — Remote

    Omdena

    • Collected, cleaned and processed datasets for collaborative deep-learning challenges.
    • Worked in distributed volunteer teams across time zones on real-world social-impact problems.
    PythonPandasData pipelines

  4. Microsoft Learn Student Ambassador — Alpha

    Microsoft

    Alpha-level ambassador. Trained students on Azure, Microsoft 365 and the wider developer ecosystem through sessions, workshops and community events.

    AzureCommunityPublic speaking

  5. Open-Source Contributor

    GitHub

    Publishing tools and learning material publicly, plus contributions to other people's projects — including maintaining a Hacktoberfest repository for first-time contributors.

    GitHacktoberfest

Research

  1. Research Assistant

    Markey Cancer Center, University of Kentucky

    Worked on RNA-Seq technologies for pan-cancer analysis, studying how the presence of certain genes can serve as a biomarker for therapeutic target development in precision treatment.

    Bulk RNA-SeqBioinformaticsR HPC

  2. Self-Supervised Learning for Medical Image Classification

    Graduate research · University of Kentucky

    Applied advanced vision and deep-learning data-augmentation techniques to the data scarcity problem in medical imaging — specifically melanoma — while keeping racial and dataset bias in consideration, for effective non-invasive classification.

    Self-supervisedViTMedical imagingBias

  3. Research Intern — Intelligent Systems Lab

    Fayetteville State University, NC

    Implemented machine-learning algorithms from scratch — no framework safety net — and deployed them on end-to-end web systems so the lab could demo results interactively.

    NumPyFlaskFrom scratch

  4. Social Interaction Guide for Visually Impaired People

    Undergraduate thesis · UET Lahore

    Collected user data, then researched and built mobile-compatible machine-learning and image-processing models that let visually impaired users read their surroundings and navigate day-to-day interactions.

    Mobile MLAccessibilityUser research

Publications & Talks

  1. A Controlled Simulation-Based Benchmark for Transposable Element Quantification

    In progress

    An extensive workflow for analysing TE quantification tools under a controlled simulation environment, with downstream analysis to rank the results — bulk RNA-Seq reads simulated with polyester across varying read lengths, libraries and gene/TE combinations. The plan is a unified Nextflow pipeline putting every state-of-the-art quantification tool under one workflow.

    NextflowpolyesterBenchmarking

  2. HERV Links with Cancer Patient Prognosis and Disease Status

    Poster · ORIEN Data Science Summit 2024

    Systematic characterisation of human endogenous retroviruses at pan-cancer scale, surfacing shared and unique HERV patterns across cancer types and identifying HERV signatures associated with prognosis and the immune microenvironment — groundwork for novel biomarkers and therapeutic targets. Presented at Aster Insights ORIEN Data Science Summit, Tampa; ranked in the top 4 research posters.

    Pan-cancerHERVBiomarkers

  3. Effect of Denosumab (Prolia) Dosing Interval Variation on Biomarkers

    Abstract · ASBMR 2024

    Explored how the interval between Denosumab doses interacts with age, gender, bone density and osteoporosis severity — a potential biomarker for therapeutic targeting in osteoporosis patients.

    Clinical dataStatistics

  4. Open Data Science Conference

    ODSC Boston, MA — attended

    A three-day virtual conference on cutting-edge machine learning and data science technologies.

  5. Getting Started with Artificial Intelligence

    Workshop · IET on Campus, UET Lahore

    Presented an online training workshop covering the machine-learning roadmap alongside a practical programming implementation.

Education

  1. MS, Computer Science

    University of Kentucky, Lexington — USA

    Coursework and research in computer vision, medical imaging, intelligent bioinformatics and RNA-Seq simulation studies — deep learning applied to problems in internal medicine and disease diagnosis.

    Computer VisionMedical ImagingBioinformaticsRNA-Seq

  2. Global UGRAD — Exchange Semester

    Fayetteville State University, NC — USA

    A US Department of State funded exchange programme. Studied at the School of Mathematics & Computer Science and the Broadwell College of Business, interned at the Intelligent Systems Lab, and represented Pakistan as a cultural ambassador.

    GPA 4.0Chancellor's List

  3. BS (Hons), Computer Science

    University of Engineering & Technology, Lahore

    CGPA 3.817 — among the top 3 students of the department, first-class honours. Final-year project: a deep-learning powered social interaction guide for visually impaired users.

    CGPA 3.817Top 3HCI

  4. Intermediate (HSSC), Computer Science

    Punjab College for Boys, Sialkot

    Gold Medalist — 94.09% (1035/1100), first position in the division. Preceded by 92.27% at matriculation, first position in the school.

Leadership

  1. Graduate & Professional Senator

    Student Government Association · University of Kentucky

    I joined Student Government to be a voice for international students — advocating on the problems international graduate students face and pushing for workable remedies.

  2. General Secretary

    Association for Data and Computation (ADC) · University of Kentucky

    ADC is the only representative body for graduate students in computer science, data science and computer engineering at UKY.

  3. Secretary of IT

    Youth Parliament Punjab

    Youth Parliament engages young people in democratic decision-making; the Ministry of IT focuses on equipping them with digital skills.

  4. Campus Director

    Hult Prize Global

    Led the on-campus chapter of the international social-entrepreneurship organisation and ran the campus entrepreneurship competition.

  5. Board of Governor

    Velocity Productions

    Co-directed short films and creative videography as a student leader.

  6. Head of Computer Science Chapter

    IET on Campus · UET Lahore

    Led the CS chapter, arranging workshops and training sessions on machine learning, web development and other modern development technologies.

  7. Boxing & Martial Arts — University Official Team

    UET Lahore

    Competed at the national martial arts championship (bronze) and the boxing championship (qualifier).

Honours & Awards

  1. 1st Prize — Entrepreneurship Pitch Competition

    E-Club, University of Kentucky

    For LOTWAYS, a startup using an intelligent robot to autonomously manage parking spots.

  2. Exceptional Leadership Award

    ADC — Department of Computer Science, UKY

    For planning, organising and hosting graduate student and faculty events.

  3. Chancellor's List

    Fayetteville State University, NC

    In recognition of scholastic achievement during the Spring 2022 exchange semester (GPA 4.0).

  4. Global UGRAD Pakistan Participant & Exchange Alumni

    US Department of State

    Won a highly competitive exchange programme to the US — one of 137 selected from 16,000 applicants — and joined the US exchange alumni network on completion.

  5. Dean's List

    UET Lahore

    Named six times for educational excellence, securing above 3.7 GPA in six semesters.

  6. Gold Medal & Distinction Certificate

    BISE Gujranwala

    For first position in the annual HSSC-II examinations across the whole division.

  7. M.H. Panhwar Talent Award & Certificate of Merit

    Fundamental Rights Commission Pakistan · Govt. of Punjab

    Awarded on account of the HSSC-II gold medal; the Certificate of Merit was duly signed and granted by the Chief Minister of Punjab.

Certifications

  1. Project Management Certification

    Google — Coursera

  2. Mathematics for Machine Learning

    Imperial College London

  3. Deep Learning Specialization

    DeepLearning.AI — Andrew Ng

  4. Python 3 Programming Specialization

    University of Michigan

  5. Edge AI with the OpenVINO Toolkit

    Intel

  6. Computer Vision Basics

    University at Buffalo

  7. Machine Learning & Data Analysis with Python

    CognitiveClass.ai

My skills

  • Python
    95%
  • Deep Learning — PyTorch & TensorFlow
    90%
  • Computer Vision
    88%
  • NLP & LLMs
    82%
  • Data Science — Pandas, NumPy, scikit-learn
    90%
  • Bioinformatics — R, ScanPy, Nextflow, HPC
    80%
  • API Development — FastAPI & Flask
    85%
  • C / C++
    75%
  • MLOps — Docker, Git, Azure, AWS
    72%

Portfolio

Gallery