I’ve always been drawn to large-scale systems because they’re like the gym for my engineering brain, every new challenge gives me that same rush of figuring out how all the moving parts fit together. At Infosys, I worked on distributed microservices deployed across AWS, collaborating closely with DevOps and data teams to improve performance and reliability for applications serving millions of users. We optimized container deployments with Kubernetes and built caching layers that cut response times by nearly 40%. At UC Irvine, I’ve continued that streak with experimenting with parallel computing projects, scaling services, and diving into cloud-native architectures just for fun (yes, I’m a little more kind of curious). I thrive in collaborative environments where everyone’s bouncing ideas, debugging together, and learning from each other. I’m not afraid to get my hands dirty, whether it’s tweaking infrastructure scripts, optimizing SQL queries, or breaking something just to understand how it works. (Recently, tried to build the new "alleged" Ladybird browser, but my storage gave away before it could successfully compile). For me, working on cloud infrastructure and distributed systems isn’t just a job, it’s the kind of challenge that keeps me genuinely excited to build, learn, and push boundaries every day.

Gaurav Cherwal

I’ve always been drawn to large-scale systems because they’re like the gym for my engineering brain, every new challenge gives me that same rush of figuring out how all the moving parts fit together. At Infosys, I worked on distributed microservices deployed across AWS, collaborating closely with DevOps and data teams to improve performance and reliability for applications serving millions of users. We optimized container deployments with Kubernetes and built caching layers that cut response times by nearly 40%. At UC Irvine, I’ve continued that streak with experimenting with parallel computing projects, scaling services, and diving into cloud-native architectures just for fun (yes, I’m a little more kind of curious). I thrive in collaborative environments where everyone’s bouncing ideas, debugging together, and learning from each other. I’m not afraid to get my hands dirty, whether it’s tweaking infrastructure scripts, optimizing SQL queries, or breaking something just to understand how it works. (Recently, tried to build the new "alleged" Ladybird browser, but my storage gave away before it could successfully compile). For me, working on cloud infrastructure and distributed systems isn’t just a job, it’s the kind of challenge that keeps me genuinely excited to build, learn, and push boundaries every day.

Available to hire

I’ve always been drawn to large-scale systems because they’re like the gym for my engineering brain, every new challenge gives me that same rush of figuring out how all the moving parts fit together. At Infosys, I worked on distributed microservices deployed across AWS, collaborating closely with DevOps and data teams to improve performance and reliability for applications serving millions of users. We optimized container deployments with Kubernetes and built caching layers that cut response times by nearly 40%.

At UC Irvine, I’ve continued that streak with experimenting with parallel computing projects, scaling services, and diving into cloud-native architectures just for fun (yes, I’m a little more kind of curious). I thrive in collaborative environments where everyone’s bouncing ideas, debugging together, and learning from each other. I’m not afraid to get my hands dirty, whether it’s tweaking infrastructure scripts, optimizing SQL queries, or breaking something just to understand how it works. (Recently, tried to build the new “alleged” Ladybird browser, but my storage gave away before it could successfully compile).

For me, working on cloud infrastructure and distributed systems isn’t just a job, it’s the kind of challenge that keeps me genuinely excited to build, learn, and push boundaries every day.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Intermediate

Language

Javanese
Advanced
Bashkir
Advanced

Work Experience

Backend Engineer at Infosys Ltd
August 1, 2021 - July 1, 2024
Led backend development of a logistics management platform using Python (Flask) microservices, handling 10,000+ daily transactions; reduced processing latency by ~40%. Integrated PostgreSQL with SQLAlchemy ORM; improved throughput by 22% and reduced query execution time by ~180 ms on average. Built internal service bootstrap tooling, architecture diagrams, and onboarding guides to accelerate new joiner ramp and feature delivery. Collaborated with QA to design PyTest-based unit and integration test suites achieving ~85% coverage and preventing regressions.
Software Engineering Intern at Linkova (Software Engineering Intern)
June 1, 2025 - August 1, 2025
Built Python + Node.js (TypeScript) workflows deployed on Google Cloud Run, orchestrating customer event streams with 32% reduced latency.
Seasonal Student Developer at SAP
January 1, 2025 - June 1, 2025
Engineered AI-driven automation pipelines using Model Context Protocol (MCP) combined with LangGraph for multi-step orchestration, enabling code generation and API calls to SAP CAP APIs; reduced schema-to-service generation time by 32% and improved the accuracy of generated entities and CDS views by 35%. Built prompt templates and designed a Retrieval-Augmented Generation (RAG) pipeline that uses CAP documentation as a reference for AI-powered query resolution and code generation. Devised MLOps-style evaluation harnesses to benchmark LangGraph agent outputs, reducing post-deployment regressions by ~25%.

Education

Master of Computer Science at University of California, Irvine
September 1, 2024 - December 1, 2025
Bachelor of Technology (Computer Science) at Indraprastha University
January 11, 2030 - December 22, 2025

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Professional Services, Computers & Electronics