Feb 2024 – Apr 2024 · 2 mos · Noida, Uttar Pradesh, India

Jan 2022 – Feb 2024 · 2 yrs 1 mo · Noida, Uttar Pradesh, India

• Received Spot awards for outstanding performance, innovation, and collaborative teamwork.
• Successfully gained approval for multiple proposed ideas and assumed leadership responsibility in their execution, fostering collaboration with cross‑functional teams.
• Onboarded AWX tower and developed a framework with Ansible for automated server setup and maintenance reducing almost 95% of the time for such activities.
• Introduced Flyover, a user‑friendly Jenkins pipeline library powered by dynamic JSON configurations. The simplicity of this library quickly made it the go‑to choice for creating complex Jenkins pipelines among sister teams.
• Pioneered PodCast, a cloud‑ready solution for scalable, containerized builds using Kubernetes, significantly improving throughput.
• Implemented Openstack Virtual machines for rapid infrastructure setup, enhancing efficiency and reducing machine setup redundancy.
• Mentored junior team members, fostering skill development and collaboration.

Aug 2020 – Feb 2022 · 1 yr 6 mos · Noida, Uttar Pradesh, India

• Received Spot awards for outstanding performance, innovation, and collaborative teamwork.
• Orchestrated end‑to‑end build pipelines for more than 50 repositories, including the Creative Cloud Desktop Family, resulting in a 70% reduction in delivery time.
• Automated and optimized more than 350 components for Creative Cloud Desktop and partner teams, eliminating over 80% of manual work and enhancing pipeline efficiency.
• Collaborated in engineering a generic config driver build system backend, streamlining task runners and cross‑platform execution of all variety of CI/CD workflows.

May 2019 – Jul 2019 · 2 mos · Hyderabad, Telangana, India · On-site

• Employed PyTorch and GPU inference in private data centres for taxi trajectory analysis.
• Utilized deep learning techniques to extract valuable insights from extensive datasets.
• Accurately predicted taxi demand to enhance transportation systems.
• Contributed to more efficient taxi operations through data‑driven insights.

May 2018 – Aug 2020 · 2 yrs 3 mos · Hyderabad Area, India · On-site

• Research project in collaboration with OPPO for portrait video mode.
• Developed a PyTorch pipeline for real‑time semantic segmentation and tracking of high‑resolution video data using YOLACT (https://arxiv.org/abs/1904.02689).
• Tailored the pipeline for traffic surveillance and accident detection, employing cutting‑edge techniques.
• Enhanced monitoring capabilities to efficiently identify potential incidents on roadways.
• Lab website: https://ckmvigil.in/ckm