Headline

Engineering Leader | Transforming Data into Action | Exploring Large Language Models (LLMs) | Agents | RAG | Reimagining Food Tech

About

I am a Computer Science engineer with a passion for building scalable systems and tackling complex engineering challenges. Currently, I work at @ as a Staff Software Engineer, collaborating closely with the Databricks and AWS Cloud teams. Throughout my career, I’ve had the opportunity to work at leading companies like Ola and Applied Materials, where I contributed to designing and building systems, services, and platforms that scale to billions of users. Tinkering with tech since the days of Assembly, C, and C++ → Microservices → Big Data → Machine Learning → now LLMs. Still wondering: what’s next, and does this journey ever end? 😄

Location

Bengaluru

AI stack

claude

codex

cursor

gemini

hermes agent

langgraph

Work experience

Engineering Leader / Senior Engineering Manager at Swiggy, Nov 2024 - Present · 1 yr 11 mos, Bengaluru

Principal Engineer at Swiggy, Jan 2024 - Oct 2024 · 10 mos, Greater Bengaluru Area

Software Developer - 4 at Swiggy, Aug 2019 - Jan 2024 · 4 y 5 mo, Bengaluru, Pioneered development of end-to-end MLOps pipeline, thereby streamlining model deployment and significantly improving time-to-market. Optimized Online Machine Learning workflow by remarkable 2x. This optimization was driven by deep understanding of the system and expertise in field. Played crucial role in major releases and migration activities, such as NYE scaling, Payment data migration, and adoption of PyTorch. Conducted a comprehensive evaluation to replace Akka with alternative solutions, exploring Golang and Java in conjunction with Vert.x for enhanced performance and efficiency. Participated in Root Cause Analysis (RCA) processes, where I was instrumental in setting up on-call routines, defining RCA priorities, and establishing actionable items to address identified issues.

Software Engineer at Ola, Jan 2018 - Oct 2019 · 1 yr 10 mos, Bengaluru South, Karnataka, India, Contributed to Location Service Platform enhancing customer app experiences. Developed a Category Service Platform from scratch, supporting complex category hierarchies with a throughput exceeding 500K/min and average latency of 5 ms (utilizing Golang and caching). Participated in the Incentive Team, overseeing the entire process from scheme creation to driver app implementation, leveraging Spark for driver performance-based incentive

Software Engineer at Applied Materials, Jul 2016 - Mar 2018 · 1 yr 9 mos, Bengaluru Area, India, Worked in Common System Software group to design control system software for Applied Materials Wafer Fabrication Equipment. Led the development and optimization of Epitaxy process recipes, improving wafer uniformity by 15%. Implemented advanced process control techniques, reducing defect rates by 20% and enhancing production yield.Orchestrated the installation and qualification of multiple Epitaxy systems, ensuring efficient production ramp-up. Collaborated with R&D teams to innovate and introduce next-generation Epitaxy technologies. Played a key role in maintaining equipment uptime, contributing to a 98% operational efficiency rate.

Internship at STMicroelectronics, May 2016 - Jul 2016 · 3 mos, Noida Area, India

Education

Bachelor of Technology (B.Tech.), Electrical, Electronics and Communications Engineering, Maulana Azad National Institute of Technology