Rakshit Jain

Software Engineer

Bengaluru, Karnataka, India2 yrs 9 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Built scalable React/Next.js frontends and Java/Python microservices.
Led initiatives to reduce release friction and improve developer productivity.
Focused on clean, maintainable code and measurable user outcomes.

Stackforce AI infers this person is a Full-Stack Engineer specializing in SaaS applications with a focus on performance and automation.

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Skills

Core Skills

MicroservicesReact.jsJavaSpring Boot

Other Skills

DjangoDockerArtificial Intelligence (AI)McpRetrieval-Augmented Generation (RAG)TypeScriptAmazon Web Services (AWS)Systems DesignTailwind CSSTerraformJenkinsAnsibleAg gridPython (Programming Language)Continuous Integration and Continuous Delivery (CI/CD)

About

Full-Stack Engineer with 2+ years building scalable React/Next.js frontends and Java/Python microservices. I own features end-to-end — from UX and API design to CI/CD and release automation (Terraform, Jenkins, Ansible) — collaborating with product and QA to ship reliable, production-grade systems. I’ve led initiatives that reduced release friction and improved developer productivity while focusing on clean, maintainable code and measurable user outcomes.

Experience

2 yrs 9 mos

Total Experience

2 yrs 5 mos

Average Tenure

4 mos

Current Experience

Uber

Software Engineer II

Jan 2026 – Present · 4 mos · Bengaluru, Karnataka, India · Hybrid

Yugabyte

3 roles

Software Engineer 2

Mar 2025 – Dec 2025 · 9 mos

• Built an MCP (Model Context Protocol) server with a RAG pipeline to let LLMs answer performance-related queries — enabling natural-language interrogation of benchmark runs, SQL results, and telemetry for faster triage and insight.

React.jsDjango

Software Engineer

Jul 2023 – Mar 2025 · 1 yr 8 mos

Built PerfStudio, a config-driven performance automation UI to model real-world scenarios (upgrades, scale-in/out) — reduced release certification time from 7 to 2 days and made benchmarking repeatable. — (React, Benchbase, Django)
Created an automated SQL workload generator with browser validation to remove ~90% manual errors and accelerate test authoring. — (React, Next.js, Django)
Implemented a variance-detector pipeline that surfaces regressions and prioritizes triage, improving time-to-detection and release quality. — (pipeline orchestration, observability)
Integrated Benchbase into CI workflows for automated SQL regression runs and standardized metric collection across releases. — (Benchbase, CI/CD)
Provisioned benchmarking infra & CI automation with Terraform, Ansible, and Jenkins to reduce manual setup and enable scheduled runs at scale. — (Terraform, Ansible, Jenkins)
Improved frontend responsiveness and UX for reporting tools using React Query caching and lazy loading to surface large-scale benchmark results quickly. — (React Query, lazy loading)

JavaReact.js

Software Engineer Intern

Jul 2022 – Dec 2022 · 5 mos · Remote

Automated benchmark environment provisioning (Terraform, Ansible) and integrated with Jenkins CI for repeatable runs.
Integrated Benchbase into CI to run consistent SQL regression workloads and collect standardized metrics.
Built backend orchestration APIs to schedule/manage benchmark jobs and ingest telemetry (Java/Python, REST).
Developed React dashboards (Recharts, Material-UI) to visualize benchmark trends and speed up triage.

JavaReact.js

Texas instruments

Application Developer

Apr 2022 – Jul 2022 · 3 mos · Bengaluru, Karnataka, India

I rebuilt a legacy monolithic application into modular Spring Boot microservices with a React front‑end—boosting maintainability and team velocity—designed RESTful APIs that cut average response times by 30%

React.jsSpring Boot