I am a Deep Learning Engineer at AMD with a strong background in developing and deploying machine learning solutions. At AMD, I am responsible for quantizing deep learning models, which involves both Post Training Quantization and Quantized Aware Training of different models. I majorly work on evaluating CNN and NLP onnx models. Recently implemented MLIR parser to find issues in operators not mapping to the kernels.At Tata Consultancy Services, I developed a patent-pending AI solution that helps employees find new projects and supports recruitment. I also developed Proof of Concepts for Optical Character Recognition, Image Segmentation, Entity Analysis, and Topic Modeling for multiple clients. Utilizing Flask, Docker, and Azure Machine Learning, I created APIs of Machine and Deep Learning models for the front end team.I have also published research paper such as "Outlier Detection Using Autoencoders: A Robust Unsupervised Approach" at the International Conference on Computing, Communication, and Automation.Overall, I am a proactive and results-driven Machine Learning Engineer with a passion for developing innovative solutions that solve real-world problems.
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Senior Software Engineer - Deep LearningAmd Jul 2024 - PresentHyderabad, Telangana, India• Implemented Evaluation pipelines of CNNs and NLP models in onnx.• Edited Models in Onnx to generate new variants by adding/replacing operators.• Developed MLIR parser to identify issues in mapping operators to kernels. -
Sde Ll - Deep LearningAmd Nov 2022 - Jul 2024Hyderabad, Telangana, India
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Data ScientistTata Consultancy Services Jul 2019 - Nov 2022Hyderabad, Telangana, India• Implemented an AI solution to parse resumes and job descriptions, creating employee profiles and matching them to JDs.• Developed a novel approach of outlier detection using Autoencoders for Fraud Detection, Entity Analysis, and Topic Modelling. -
Machine Learning InternTata Consultancy Services Feb 2019 - May 2019Hyderabad Area, India• Developed Augmented Intelligent Audit Solution for Large Professional Services to streamline auditing tasks.• Utilized machine learning techniques to enhance auditing processes and improve accuracy.• Collaborated with team members to implement innovative solutions for auditing challenges.
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Research AssistantManipal Institute Of Technology Aug 2018 - Nov 2018Manipal• Collaborated on a project to detect cervical cancer from CT scan images using machine learning and deep learning algorithms.• Implemented SVM and Random Forest-based pipelines for classification, comparing with CNN-based models like VGGNet and ResNet.
Sagar G. Skills
Sagar G. Education Details
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Delhi Public School Allahabad93.2%
Frequently Asked Questions about Sagar G.
What company does Sagar G. work for?
Sagar G. works for Amd
What is Sagar G.'s role at the current company?
Sagar G.'s current role is AI @ AMD.
What schools did Sagar G. attend?
Sagar G. attended Manipal Institute Of Technology, Delhi Public School Allahabad.
What skills is Sagar G. known for?
Sagar G. has skills like Artificial Neural Networks, Mysql, Mlflow, Neural Networks, Scikit Learn, Support Vector Machine, Text Classification, Deep Neural Networks, Pandas, Data Science, Algorithms, Predictive Modeling.
Who are Sagar G.'s colleagues?
Sagar G.'s colleagues are 郭有益, Jacob Combe, Sai Sruthi Ravilla, Pradipta Choudhury, Zafar Shamim, Wei-Che Hung, Nidhi Gulia.
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