Dheeraj Madda Email & Phone Number

Bengaluru, Karnataka, India

• 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗮𝗻𝗱 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁:-
• Real-time Instance Segmentation - Performed R&D in replacing YOLOv8 Instance Segmentation model with an efficient NMS-Free model to facilitate the removal of AGPL 3.0 License for real-time application. The qualitative.
• Loss function optimization - Led R&D efforts to optimize the existing loss function for classification. Improved the model's generalizability and accelerated convergence resulting in reduction of training time by more.
• Continual Learning - Researched and developed Domain-Incremental and Class-Incremental Continual Learning techniques, delivering substantial scalability improvements. Successfully slashed training time by over 80% for.
• Developed a robust, scalable PyTorch training framework tailored for diverse models, datasets, and training scenarios (e.g. Distributed Training, Knowledge Distillation, SSL, Continual Learning). Streamlined.

Hyderabad, Telangana, India

• Discussed current trends in AI with Data Science Leads and Director. Worked on implementing the same as part of Internal Computer Vision Platform.
• As part of internal Computer Vision team, wrote various blogs on topics like Camera calibration, Self-supervised learning, Object tracking, Multi-task network.
• Mentored and guided juniors on various computer vision projects for client use cases.

Hyderabad, Telangana, India

• Worked on a project for one of the largest Retail Companies in the US where I have built various backend APIs on Azure as per the business requirements. Secured the APIs using JWT.
• Worked on implementing Databricks workloads and improved existing workloads by optimizing them for cost and memory.
• As part of Tiger's Internal Computer Vision Platform, developed various modules while maintaining high coding standards and curated it to be used on different datasets, on the following topics:-a) Knowledge.

Hyderabad, Telangana, India

• Worked with the team on Research and Development of training efficient networks in PyTorch.
• Worked on optimizing deep learning models using Intel OpenVINO and improved the inference latency by 60%.
• Deployed the model on AWS serverless computing platform using light-weight runtime.
• Worked on implementing a conversational bot using AWS Lex and integrating it with the AWS serverless platform.

Pune, Maharashtra, India

• PoC to Production - Design, develop, deploy and secure the serverless application built entirely using AWS services that are being used by thousands of users.
• Design and develop customized and scalable AWS solutions as per business requirements.
• Processing large files using a serverless computing platform while building a robust solution to handle the serverless compute timeout limitations.
• AWS services - API Gateway with Custom OKTA Authorizer, Lambda Functions-Python3, Step Functions, EC2, VPC, RDS, S3, SNS, SQS, EFS, CloudFormation

Post Graduate Diploma, Internet Of Things (Iot), A

Master Of Engineering - Me, Electronics And Telecommunication Engineering, A+

Bachelor Of Engineering - Be, Electronics And Telecommunication Engineering, I

12Th, Pcme, I

10Th, I