ABHIK SARKAR

Early Hire, Wearing many hats

• Successfully set up and led a team, fostering collaboration and expertise in machine learning and deep learning technologies.
• Led the design and construction of an end-to-end platform for scalable deep learning model deployment, leveraging Kubernetes (K8s) for efficiency.
• Implemented a robust model version control pipeline to ensure accurate tracking of model changes and reproducibility.
• Significantly contributed to platform development by enhancing ML operations with automated retraining, model orchestration, and robust monitoring capabilities.
• Achieved a highly performant pipeline, scaling up from processing 100k videos to 2 million per day.
• Led migration project from cloud to colocation servers, reducing costs by 75%.
• Collaborated closely with cross-functional teams to plan and execute the migration, ensuring minimal downtime and data integrity during the transition.
• Effectively managed and negotiated with external stakeholders in my geography to offset company costs, resulting in significant cost savings
• Implemented a "human in the loop" approach with AI-assisted annotation, enabling continuous improvement of results by combining human expertise with AI capabilities, resulting in enhanced accuracy
• Successfully implemented GenAI capabilities for synthetic data generation and automated annotation, leading to a remarkable 10x improvement in human annotation performance, resulting in more accurate and efficient data labeling.

• Worked as part of the Video Intelligence Team at Athenas Owl, a Media-Based AI Product company.
• Responsible for generating new AI features in the product.
• Contributed to the development of a cutting-edge product aimed at assisting marketers in cataloging sports moments from vast video content libraries, spanning thousands of hours. Utilized a complex pipeline for different types of classification, object detection, and Siamese Network.
• Contributed as an Engineer to a cutting-edge project aimed at developing a comprehensive athlete tracking solution across different sporting categories for a major global sporting event. Focused heavily on OCR and Tracking. Ensured strict adherence to GDPR (General Data Protection Regulation) guidelines throughout the development process, prioritizing the protection of athletes' privacy and data rights.
• Mentored and coached a team of Campus Hires to support career growth.
• Applied deep learning techniques and solutions to multiple Proof of Concepts (PoCs) within the media domain, showcasing the transformative potential of advanced technologies.

• Got Certified in Workday Integrations Platform which is a Leading Cloud HRMS solution worldwide
• Involved in critical worldwide transformation project focused on migrating a major bank's HRMS from on-premises systems to the cloud-based Workday platform.
• Got Familiar with Workday Analytics tools and capabilities for HR data analysis and reporting.