Shrinath Agarwal

Software Engineer

Bengaluru, Karnataka, India3 yrs 3 mos experience

Key Highlights

Expert in building scalable systems for billions of users.
Proven track record in process optimization and control systems.
Strong collaboration with cross-functional teams in cloud technologies.

Stackforce AI infers this person is a Backend-focused Software Engineer with expertise in scalable systems and process optimization.

Contact

Skills

Core Skills

System DesignGolangData ProcessingControl SystemsProcess Optimization

Other Skills

Big DataCachingEmbedded SystemsLarge Language ModelsMachine LearningMicroservicesProcess ControlRecipe DevelopmentSpark

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? 😄

Experience

Full-time

Swiggy

– Present

Ola

Software Engineer

Jan 2018 – Oct 2019 · 1 yr 9 mos · Bengaluru South, Karnataka, India · On-site

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

System DesignGolang

Applied materials

Software Engineer

Jul 2016 – Mar 2018 · 1 yr 8 mos · Bengaluru, Karnataka, India · On-site

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.

Embedded SystemsControl SystemsProcess Optimization