As a Senior AI Engineer, I specialize in leveraging advanced AI technologies to build innovative solutions that enhance user experiences and drive business growth. With a strong foundation in computer vision, natural language processing, and machine learning, I have led the development of complex systems ranging from product recommendation engines to real-time event detection in sports.I have expertise in building applications using LLMs, Large Vision Models, Multi-modal RAG, Agentic frameworks i.e. Langchain and CrewAI, Chatbot frameworks i.e. voiceflow, Cloud platforms i.e. GCP, AWS, deep learning frameworks i.e. Pytorch, and image processing libraries such as, Open-CV, which I apply to solve real-world problems effectively. I also have a passion for mentoring emerging talent, helping to sharpen their coding and machine learning skills to ensure they are invaluable assets to any team.Holding a Master’s in Computer Science and a B.Sc in Electrical Engineering, I am committed to continuous professional development and applying my skills to innovate and improve project outcomes.Let’s connect to explore potential collaborations or opportunities in AI and technology.
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Senior Ai EngineerOmno Ai Sep 2022 - PresentLahore, Punjab, Pakistan -
Associate Data ScientistG42 Healthcare May 2021 - Aug 2022Abu Dhabi, United Arab Emirates· Worked on research project focusing on building SOTA semi-supervised deep learning model using limitedlabeled data for multi-label disease classification in chest X-ray images.• Implemented techniques for faster training of deep learning models, e.g. FFCV (fast forward com-puter vision) and distributed multi-gpu training in pytorch which reduced the training time by atleast50%.• Automated custom scheduling techniques for un-interrupted training of the models.• Preprocessed various medical imaging datasets e.g., CheXpert, MIMIC-CXR, RSNA in DICOM andjpeg formats to feed into training and inference pipelines.• Implemented latest data augmentation and model ensembling techniques to improve the performanceof the deep learning models.• Implemented Bayesian optimization and other techniques for time-efficient hyper parameter tuning.• Wrote manuscript for research publication. -
Data ScientistG42 Healthcare Nov 2020 - May 2021Abu Dhabi, United Arab Emirates· Trained fully supervised computer vision based deep learning models (DenseNet and ResNet family) formedical images to detect 14-different findings in chest x-rays in NIH (112k images) data set.· Implemented state-of-the-art noisy-student semi-supervised deep learning model for data-efficient multi-label classification of 14 different classes in CheXpert (224k images) X-rays dataset. -
Research AssistantUniversity Of Sharjah Jul 2017 - Dec 2019Sharjah, United Arab Emirates- Reviewed research papers.- Conducted literature reviews.- Worked on wireless sensor networks (WSNs) simulation projects; Topology Design, Target Tracking, Fault Tolerance protocols etc.- Designed and Implemented algorithms on Castalia framework (OMNet) in C++ language.- Presented conference paper in IEEE CSIT 2018 conference, Amman, Jordan- Conference Paper: A Redundancy-Aware Face Structure for Wireless Sensor Networks- Journal Paper: Distributed Fault Tolerant Target Tracking Protocol for New Face-based Wireless Sensor Networks
Ammara Razzaq Skills
Ammara Razzaq Education Details
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Computer Science -
Electrical Engineering
Frequently Asked Questions about Ammara Razzaq
What company does Ammara Razzaq work for?
Ammara Razzaq works for Omno Ai
What is Ammara Razzaq's role at the current company?
Ammara Razzaq's current role is Senior AI Engineer.
What schools did Ammara Razzaq attend?
Ammara Razzaq attended University Of Sharjah, University Of Engineering And Technology, Lahore.
What skills is Ammara Razzaq known for?
Ammara Razzaq has skills like Leadership, Pandas, Neural Networks, Scikit Learn, Git, Deep Neural Networks, Data Science, Algorithms, Literature Reviews, Operating Systems, Matlab, Visual Studio.
Who are Ammara Razzaq's colleagues?
Ammara Razzaq's colleagues are Hr Omno Ai, Yasir Tariq, Addi Malik, Muhammad Waseem.
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