SOFTWARE ENGINEER · 3+ YRS EXP

Prateek
Bhatt

Building the infrastructure that makes software fast, reliable, and a pleasure to maintain.

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PROCESS MONITOR

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[building]Vectorize — a distributed vector Database

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1037

[exploring]Rethinking developer observability with eBPF and structured traces

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1074

[writing]"What are vector databases exactly? — draft in progress

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1111

[reading]Designing Data-Intensive Applications

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4 processes · 0 errors · last updated Jul 2026

contributions

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// about

I engineer systems,
not just features.

Full-stack engineer with deep roots in distributed systems and developer tooling. I thrive at the intersection of product and infrastructure — building engines that let teams move fast without breaking things.

Previously at Hatica, Wadhwani Foundation, and Swiggy(SuprDaily). Now learning ML and building in public.

3yrs

of engineering

20+

projects shipped

startups 0→1

99.97%

avg uptime

// experience

Where I've worked

HaticaSoftware EngineerMarch 2024 — Jan 2026

Worked on AI-powered developer productivity and automated testing platforms, leading frontend development and modernizing the core engineering dashboard.

▸Led frontend development of an AI agent for automated website testing using Playwright, Stagehand, and AI SDK, reducing manual QA effort by 70%+.

▸Built the platform UI in Next.js + tRPC, cutting integration boilerplate by ~35% and delivering the MVP in under 8 weeks.

▸Redesigned and upgraded the engineering productivity platform from V2 → V3, improving performance and reducing frontend bugs by ~30%.

▸Implemented CI/CD workflows with GitHub Actions, pre-push hooks, AWS Amplify, and CodeRabbit to improve developer velocity.

▸Optimized GraphQL queries and rendering paths, resulting in ~15% faster API interactions across major features.

Next.jstRPCPlaywrightStagehandAI SDKGraphQLGitHub ActionsAWS Amplify

Wadhwani FoundationFrontend DeveloperAug 2022 — Jan 2023

Built and optimized frontend experiences for multiple EdTech products serving over one million users.

▸Contributed to 3 EdTech products collectively serving more than 1 million users.

▸Reduced First Contentful Paint from 4.2s to 2.9s using image optimization, lazy loading, and code splitting.

▸Improved authentication flows across multiple applications, reducing sign-up time by 20%.

▸Participated in code reviews and improved overall code quality and maintainability.

▸Developed reusable, scalable UI components using React, Redux, and TypeScript.

ReactReduxTypeScriptJavaScriptHTMLCSS

SuprDaily (Swiggy)SDE — Frontend InternMar 2022 — Jun 2022

Worked on performance improvements and user experience enhancements for the SuprDaily consumer application.

▸Revamped, debugged, and refactored frontend modules while improving application performance.

▸Implemented search optimization experiments that reduced user interactions required to initiate searches.

▸Improved checkout flow responsiveness and navigation, enhancing the overall user experience.

ReactReduxTypeScriptJavaScriptHTMLCSS

// tech stack

What I work with

Languages

JavaScriptTypeScriptGoPythonC++SQLHTMLCSS

Frontend

ReactNext.jsThree.jsReduxTailwind CSSGraphQLBootstrapWebpack

Backend & Data

Node.jsExpressRESTgRPCtRPCMicroservicesOAuth2WebSocketsPostgreSQLMongoDBRedisFirebaseHasura

Infrastructure

AWSDockerKubernetesGitHub ActionsCI/CD

Testing & Automation

PlaywrightStagehandAI SDKGraphQL

// selected work

Things I've built

5 projects

∞

typing races

Real-Time Typing Platform

TypeX

A competitive typing platform with real-time multiplayer races, live leaderboards, WPM and accuracy tracking, and user performance analytics.

Next.jsTypeScriptGoPostgreSQLWebSocketsJWT

↗

interactive world

Interactive 3D Experience

3D Marvel Marble

A browser-based 3D interactive game built with Three.js featuring physics-based ball interactions, real-time animations, and immersive WebGL visuals.

Three.jsReactWebGLJavaScriptFramer Motion

↗

customization

3D Web Application

T-Shirt Customiser

A web app to customize a 3D t-shirt model with dynamic colors, logo uploads, and downloadable final designs.

Three.jsReactFramer MotionTailwind CSS

↗

// research

Research papers

1 papers

Stock Prediction on Historical Data based on SGD and LSTM

2022 • IEEE

This paper proposes a machine learning algorithm that basically utilizes a specific type of Recurrent Neural Net (RNN) known as Long Short Term Memory (LSTM), where the weights and biases are adjusted as per the singleton data points using SGD