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Lead AI/ML Engineer
I build production RAG, agentic AI, computer vision, and real-time ML systems.
PakistanLead AI/ML Engineer at h2olabs.io
Architected RAG systems with vector search, built real-time LLM backend services, and devised agentic AI pipelines. Implemented CI/CD pipelines and delivered speech intelligence and computer vision solutions.
RAGElasticsearchPineconefastAPIWebSocketsCrew AIVoyage AIGoogle Cloud RunGitHub ActionsGoogle CloudBuildSpeech RecognitionDiarizationEmotion RecognitionTTSPII DetectionIoTTime SeriesAnomaly DetectionYOLO V5UltralyticsComputer Vision
Improved retail object detection accuracy using YOLOv5/Ultralytics pipelines and enhanced feature representation with VGG16 embeddings. Built end-to-end ML lifecycle pipelines and orchestrated RESTful ML services.
YOLO V5UltralyticsVGG16Deep LearningML PipelinesfastAPIDockerPostgreSQLCeleryRedisRabbitMQEC2Microservices
Developed object tracking and re-identification models for sports analytics using Siamese networks and transformer-based embeddings. Built real-time ball detection and pose estimation systems, and optimized deep learning inference pipelines.
Siamese NetworksTriplet LossCLIPVision TransformerOpenCVRoboflowYOLO PoseHomographyInceptionV2KerasDeep LearningInference Optimization
Pursued a Master's degree in Computer Science, focusing on advanced topics in computing and research.
Profile sourced from Himalayas.