Sagar G.

Software Engineer

Hyderabad, Telangana, India6 yrs 11 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Expert in quantizing deep learning models.
Developed patent-pending AI recruitment solution.
Published research on outlier detection using autoencoders.

Stackforce AI infers this person is a Deep Learning Engineer specializing in AI solutions for enterprise applications.

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Skills

Core Skills

Deep LearningMachine LearningArtificial Intelligence (ai)

Other Skills

Computer VisionNatural Language Processing (NLP)PythonAnalytical SkillsLarge Language Models (LLM)Retrieval-Augmented Generation (RAG)Generative AIRoboflowOral CommunicationMicrosoft Azure Machine LearningPytorchFlaskData StructuresComputer ScienceAlgorithms

About

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.

Experience

6 yrs 11 mos

Total Experience

3 yrs 5 mos

Average Tenure

3 yrs 7 mos

Current Experience

Amd

2 roles

Senior Software Engineer - Deep Learning

Promoted

Jul 2024 – Present · 1 yr 11 mos · Hyderabad, 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.

Computer VisionNatural Language Processing (NLP)Deep LearningMachine Learning

SDE ll - Deep Learning

Nov 2022 – Jul 2024 · 1 yr 8 mos · Hyderabad, Telangana, India

Tata consultancy services

2 roles

Data Scientist

Jul 2019 – Nov 2022 · 3 yrs 4 mos · Hyderabad, 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.

PythonNatural Language Processing (NLP)Machine LearningArtificial Intelligence (AI)

Machine Learning intern

Feb 2019 – May 2019 · 3 mos · Hyderabad 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.

PythonAnalytical SkillsMachine Learning

Manipal institute of technology

Research Assistant

Aug 2018 – Nov 2018 · 3 mos · Manipal

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.

PythonAnalytical SkillsMachine Learning