Data Engineering and Business Intelligence

• Jun 2023 - Present

Site Reliability Engineer

• Mar 2023 - Present

Site Reliability Engineer

• Sep 2022 - Mar 2023

Kubernetes Release Shadow

• Sep 2022 - Mar 2023

Intern

• Jun 2022 - Sep 2022

- Worked in collaboration to facilitate GPU-enabled cluster creation using Kubernetes-style APIs for Cluster API provider GCP (CAPG) - Developed custom OS images integrated with GPU drivers to support high-performance machine learning and computationally intensive workloads within clusters. - Maintained scripts to streamline the provisioning and configuration of GPU resources in Kubernetes clusters, optimizing resource allocation and management. - Contributed to enhancing the scalability and efficiency of GPU-enabled clusters, ensuring seamless support for demanding workloads. - Collaborated closely with cross-functional teams to align GPU provisioning processes with cluster infrastructure, enabling reliable and efficient cluster management. Show less

Intern

• May 2022 - Aug 2022

- Enhanced scalability and parallelization of the Camel-K, a lightweight integration framework tailored for serverless and microservices architecture for improved performance on Kubernetes. - Expanded test coverage to ensure robustness, with a focus on supporting the Maven daemon strategy in build processes. - Collaborated on optimizing operator horizontal scaling functionality within Kubernetes environments. - Documented critical processes and functionalities, enhancing project documentation for greater accessibility and understanding. Show less

Student Researcher

• Jun 2021 - Mar 2022

Under the supervision of Dr. Bharat Bhushan, assistant professor of the Department of Computer Science and Engineering at Sharda University, a high-impact factor study (Impact factor 7.3) entitled "Appositeness of Optimised and Reliable Machine Learning for Healthcare: A Survey" was published in the Archives of Computational Methods in Engineering. https://doi.org/10.1007/s11831-022-09733-8 Under the supervision of Dr. Bharat Bhushan, assistant professor of the Department of Computer Science and Engineering at Sharda University, a high-impact factor study (Impact factor 7.3) entitled "Appositeness of Optimised and Reliable Machine Learning for Healthcare: A Survey" was published in the Archives of Computational Methods in Engineering. https://doi.org/10.1007/s11831-022-09733-8

Contributor Experience

• Jul 2021 - Jul 2021

Machine Learning Intern

• Mar 2021 - Jul 2021

- Optimizing machine learning techniques, with a focus on image segmentation for precise object recognition. - Lead initiatives to improve existing customer segmentation algorithms, resulting in more focused marketing tactics. - Developed detailed documentation for machine learning methods to ensure openness and understanding among team members. - Detailed benchmark reports on algorithm performance have been created, enabling data-driven decision-making and continuous improvement. - Optimizing machine learning techniques, with a focus on image segmentation for precise object recognition. - Lead initiatives to improve existing customer segmentation algorithms, resulting in more focused marketing tactics. - Developed detailed documentation for machine learning methods to ensure openness and understanding among team members. - Detailed benchmark reports on algorithm performance have been created, enabling data-driven decision-making and continuous improvement.

Mentee

• Dec 2020 - Jan 2021

During a one-month Open Source development initiative known as Winter of Code, I made substantial contributions to the mobile-centric "Social Distance Detector" project led by "Deep Fusion AI." My key responsibilities within a skilled team included: - Enhancing MobileDet model accuracy via optimized object detection techniques, particularly leveraging advanced bird's-eye view panoptic mechanisms. - Implementation of real-time safety breach alerts for social distancing. - Rigorous code reviews and seamless feature integration. This experience underscored the significance of collaborative open-source development and further refined my expertise in AI-driven solutions, fostering effective teamwork in a fast-paced digital landscape. Show less