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Rizwan Zafar

@rizwanzafar1

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Senior Machine Learning Engineer | Deep Learning, LLMs & Production MLOps | PyTorch, TensorFlow, Scikit-learn

Pakistan

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What I'm looking for

I’m looking for a role where dataset validation, structured error analysis, and evaluation metrics directly improve CV/VLM performance. I want clear ownership of benchmarking workflows and a team that values data-centric iteration, collaboration, and measurable quality gains.

I build production-grade AI that drives revenue and improves customer experience. I own the full lifecycle—from problem framing to scalable deployment and ROI measurement. Using PyTorch, TensorFlow, and MLOps, I turn research into reliable business systems. Looking to lead AI initiatives that deliver measurable impact.

Experience

Work history, roles, and key accomplishments

Current

Computer Vision ML Engineer

Current

Fiverr

Aug 2025 - Present (8 months)

Reviewed, annotated, and validated image and video datasets for object detection, classification, and segmentation while maintaining label quality and consistency. Conducted structured error analysis on CV outputs to identify failure modes, edge cases, and data gaps, supporting evaluation workflows using mAP, IoU, and precision/recall.

IOU Image & Video Dataset Annotation Label Validation Segmentation Mask Creation CVAT Roboflow Structured Error Analysis Maps Precision Recall

Senior ML Engineer, CV

Xailient Inc.

Nov 2023 - Sep 2025 (1 year 10 months)

Adapted YOLO and RetinaFace models for access control and retail deployments, using evaluation and structured error analysis to surface edge cases and dataset weaknesses. Curated and validated large image/video datasets and built evaluation pipelines for accuracy and hardware-specific performance, including quantization and compression for edge deployment.

YOLO RetinaFace Evaluation Pipelines Structured Error Analysis Data Curation Segmentation Consistency Checks Model Quantization Microcontrollers NPUs

Machine Learning Engineer, CV

Chief

Aug 2021 - Oct 2023 (2 years 2 months)

Performed hands-on error analysis on visual and multimodal model outputs and provided structured feedback to guide retraining and dataset improvements. Built visual data pipelines and supported evaluation using quantitative metrics and qualitative inspection, integrating vision-language capabilities for retrieval workflows and edge-case annotation.

Computer Vision Error Analysis Visualization Pipelines CLIP Style Multimodal Embeddings