Team oriented and creative machine learning practitioner with experience in data handling, experimentation, algorithm development and deployment. Currently focusing on data driven machine learning research problems and r…
Team oriented and creative machine learning practitioner with experience in data handling, experimentation, algorithm development and deployment. Currently focusing on data driven machine learning research problems and robust solutions at scale. Aiming to learn and build end to end machine learning systems with hybrid cloud technologies.
Engineered scalable face detection, recognition, and multi-stream tracking systems for building management data analytics.
Designed and implemented a scalable camouflage system for agricultural pest control and plant protection, incorporating multi-device inference capabilities.
Leveraging ML & Operations to pioneer cost-effective solutions for local industry automation, fostering efficiency and innovation.
1- Engineered scalable face detection, recognition, and multi-stream tracking systems for building management data analytics.
2- Designed and implemented a scalable camouflage system for agricultural pest control and plant protection, incorporating multi-device inference capabilities.
3- Leveraging ML & Operations to pioneer cost-effective solutions for local industry automation, fostering efficiency and innovation.
4- Model optimization for hardware acceleration using tools like ONNX and TensorRT.
5- Designing & implementation of custom modules, data handlers, training and inference architectures, using tools like NVIDIA Triton Server or custom inference server.
6- Implementation of end to end Machine Learning pipelines, completing the train, adapt and optimize loop.
Created meter reading inference system for IESCO with automated billing, utilizing image processing for image enhancement in a cost-effective hybrid edge and remote compute setup.
Developed & deployed scaleable deterministic algorithm, to identify, monitor & log the polio eradication campaigns in Pakistan, to increase effectiveness, funded by Bill & Melinda Gates Foundation and Pakistan Polio Eradication Program.
Applying ML & Ops to create cost-effective solutions for local industry automation, driving efficiency and innovation.
Designed & developed scalable, cost effective brand recognition system for media industries.
Designing & implementation business intelligence backends for indepth insights.
Implementation & automation of ETL pipelines for data processing by building hybrid inference pipeline.
Design, develop and deploy air time analysis system for media industries.
Model optimization for & hardware acceleration using tools like ONNX and TensorRT.
Designing & implementation of custom modules, data handlers, training and inference architectures, using tools like NVIDIA Triton Server or custom inference server.
Implementation of end to end Machine Learning pipelines, completing the train, adapt and optimize loop.
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