Headline

SMTS @ Salesforce Einstein AI | Ex: Adobe | IIT Hyderabad

About

I have accumulated significant experience over the past four years in coding, designing, and testing complex systems using various technologies such as JavaScript, Node.js, Java, Groovy, Docker, Kubernetes, and CI/CD tools like Jenkins. I remain current with industry developments, consistently enhance my skills, take full responsibility for my work, and optimize processes to ensure successful task completion

Location

Bengaluru

AI stack

anthropic apis

claude code

claude

codex

cursor

ollama

Work experience

Senior Member of Technical Staff at Salesforce, May 2024 - Present · 2 yrs 5 mos, Bengaluru, Karnataka, India

Computer Scientist at Adobe, Feb 2024 - Apr 2024 · 3 mos, Hybrid

Software Development Engineer 2 at Adobe, Jan 2022 - Feb 2024 · 2 yrs 2 mos, Hybrid, • 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.

Software Development Engineer at Adobe, Aug 2020 - Feb 2022 · 1 yr 7 mos, Remote, • 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.

Machine Learning Intern at Hexagon Capability Center India, May 2019 - Jul 2019 · 3 mos, Hyderabad, Telangana, India, • 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.

VIGIL LAB at Department of CSE, IIT Hyderabad, May 2018 - Aug 2020 · 2 yrs 4 mos, Hyderabad Area, India, • 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

Education

Bachelor of Technology - BTech (Double Majors), Computer Science, Indian institute of technology Hyderabad

Bachelor of Technology, Chemical Engineering, Indian institute of technology Hyderabad