S

Shan Quyyoom

Machine Learning Engineer

Jhang District, Punjab, Pakistan4 mos experience

Key Highlights

  • Self-taught Machine Learning enthusiast with hands-on project experience.
  • Proficient in Computer Vision and real-time system development.
  • Eager to learn and adapt in AI and Machine Learning fields.
Stackforce AI infers this person is a Machine Learning and Computer Vision specialist focused on healthcare applications.

Contact

Skills

Core Skills

Machine LearningComputer Vision

Other Skills

Analytical SkillsApplied Machine LearningBreast Cancer ResearchClient CommunicationClient-orientedCustomer AnalysisData AnalysisData CleaningData EngineeringData ModelingData ScienceData ValidationData evaluationData-driven Decision MakingDecision Modeling

About

I’m a self-taught Machine Learning enthusiast from Pakistan, actively building intelligent systems that solve real-world problems. I’ve completed multiple end-to-end projects including: Personality Prediction, Sleep Disorder Detection, Heart Attack Risk Real-time Pose Detection for Push-up Counter Eye Blink-based Drowsiness Detection Hand Landmark Drawing and Face Mesh Detection using Mediapipe My tech stack includes Python, Scikit-learn, PyCaret, Mediapipe, OpenCV, and FastAPI. I’m skilled in data preprocessing, model training/evaluation (accuracy, F1, AUC), clustering, PCA, and API deployment using FastAPI. I’ve learned through the Awfera platform under the guidance of Mam Shazia Saqib. I’m passionate about AI, especially in Computer Vision, and always eager to learn and build. Currently open to internships or entry-level roles in: Machine Learning Computer Vision AI Research (Remote or Hybrid preferred) Let me know if you want me to tailor it more toward freelancing, specific country, or a job title like Computer Vision Engineer.

Experience

4 mos
Total Experience
4 mos
Average Tenure
--
Current Experience

Evolvian softwares (pvt.) ltd.

Machine Learning Intern

Jan 2025Present · 1 yr 3 mos · Jhang, Punjab, Pakistan · Remote

  • Currently working as a Machine Learning Intern at Evolvian Softwares, where I’m contributing to real-world projects involving computer vision, facial landmark detection, and pose-based tracking using tools like Mediapipe, OpenCV, and Python.
  • Key contributions include:
  • Real-time Push-up Counter using pose estimation
  • Face Mesh & Eye Blink Detection
  • Hand Gesture Drawing App using hand landmarks
  • Debugging and improving model performance in real-time environments
  • I also collaborate with the team on weekly research tasks, documentation, and testing of intelligent systems.
  • Tools & Libraries: Python, OpenCV, Mediapipe, FastAPI, Git, VS Code
  • Key tools: Python, Scikit-learn, PyCaret, Pandas, Matplotlib, SHAP, FastAPI, Git, Google Colab
  • I’m currently working on multiple independent projects related to healthcare, including Sleep Disorder Prediction and Breast Cancer Classification, and sharing my learnings on LinkedIn to build a strong portfolio.
Machine LearningPython (Programming Language)FastAPIModel DeploymentComputer Vision

Self-employed

Machine Learning Student & Freelancer

Jan 2025Jun 2025 · 5 mos

Machine LearningLogistic RegressionSupport Vector Machine (SVM)Ensemble CoachingEDAData Analysis+5

Education

Awfera

Machine Learning

Jan 2022Jan 2022

Evolvian Softwares

May 2025Present

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