Fully remote junior ML or Computer Vision role working on real-world detection and classification systems. I want to own problems end-to-end — data to deployment — in an async-friendly team. Ideally involves deep learning or applied CV, with room to grow.
komal Sukheja
@komalsukheja
ML Engineer · Computer Vision · YOLOv8, PyTorch, OpenCV · Real-time detection & classification · Open to remote roles
What I'm looking for
I'm a Machine Learning Engineer focused on computer vision and deep learning — I care about building models that actually run in production, not just pass evaluation metrics.
My core strengths are object detection, image classification, and deploying interactive ML applications. Here's what I've shipped recently:
Face Mask Detection System (YOLOv8, OpenCV, Python)
I custom-trained a YOLOv8 architecture to classify Mask vs. No Mask in real time, with colour-coded bounding boxes for instant visual auditing. The system handles both webcam and video file inputs, uses frame-skipping logic to maintain smooth inference under load, and supports optional output video saving for historical review. The focus was on performance and scalability — not just accuracy in a notebook.
Animal Image Classifier (EfficientNetB0, PyTorch, Gradio, Hugging Face)
Fine-tuned EfficientNetB0 (pre-trained on ImageNet) for multi-class animal species classification, including a filtering layer that rejects non-animal inputs cleanly. Built an interactive Gradio interface with Top-3 match predictions and real-time confidence scores for model transparency. Deployed and hosted entirely on Hugging Face Spaces — optimised to run on standard CPUs without speed compromise.
Beyond these, I've also built a Smart Document Scanner (OpenCV, perspective transformation, Streamlit), a Customer Churn Prediction app (TensorFlow ANN, 85% accuracy), and a predictive Olympics Data Analysis platform — all deployed as interactive web applications.
My stack: Python · PyTorch · TensorFlow · YOLOv8 · OpenCV · EfficientNet · Keras · Hugging Face · Gradio · scikit-learn · Roboflow · Docker · Streamlit · Flask · Pandas · NumPy · SQL · Power BI
I studied Accounting & Finance at IBA Sukkur — which I think makes me a stronger engineer. I understand what decisions downstream teams need to make with model output, and I build with that in mind. I'm currently completing a Diploma in Computer Science.
I'm actively looking for a fully remote junior ML or computer vision role. I move fast, I learn faster, and I build things that work outside the lab.
Experience
Work history, roles, and key accomplishments
Built and fine-tuned real-time computer vision models for person detection and object counting using YOLOv8 and PyTorch. Designed anomaly detection pipelines for security applications including suspicious activity and shoplifting detection. Achieved 20% faster inference speed through hyperparameter tuning and rigorous model evaluation.
Junior Consultant
Principio Holding
Apr 2025 - Jun 2025 (2 months)
Consolidated multi-subsidiary financial data using ETL processes and Excel automation, ensuring 100% data accuracy. Built a £1.5M predictive cost model with scenario analysis. Authored knowledge articles to strengthen internal business intelligence infrastructure.
Education
Degrees, certifications, and relevant coursework
Virtual University of Pakistan
Diploma, Computer Science
2026 -
IBA University, Sukkur
Bachelor of Science, Accounting & Finance
2019 - 2023
Completed a BS in Accounting & Finance at IBA University, Sukkur from Aug 2019 to Dec 2023.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Portfolio
github.com/komal-sukhejaSalary expectations
Social media
Job categories
Interested in hiring komal?
You can contact komal and 90k+ other talented remote workers on Himalayas.
Message komalFind your dream job
Sign up now and join over 250,000+ remote workers who receive personalized job alerts, curated job matches, and more for free!
