---
title: "Rakesh J - Software Engineer in New Delhi | Tal"
description: "Meet Rakesh J, JAVASCRIPT || REACTJS || NODEJS || META CLOUD API || MCP based in New Delhi. AI stack includes claude, codex, and deepseek. Explore public work links including github."
image: "https://tal.club/meet/rakesh-j/share-image"
---

# Rakesh J on Tal

## Headline

JAVASCRIPT \|\| REACTJS \|\| NODEJS \|\| META CLOUD API \|\| MCP

## About

I am 27 year young IT specialist in application development currently I am doing my apprenticeship @Snapto AI

## Location

New Delhi

## AI stack

claude

codex

deepseek

github copilot

kimi

n8n

## Work experience

Software Engineer at SnapTo AI, May 2024 \- Present · 2 yrs 5 mos, On\-site

Software Development Engineer at Rampwin, Jul 2023 \- Apr 2024 · 10 mos, Jaipur, Rajasthan, India, Led the development of transformative solutions in workflow automation and mobile app development, achieving impactful results: • Designed a flow\-builder tool that simplified complex automation for non\-technical users, increasing workflow efficiency by 50%\. • Migrated Rampwin Chat Support from Flutter to React Native, implementing optimizations that improved app responsiveness and boosted user satisfaction by 30%\. • Developed an innovative VS Code extension for translation management, enabling real\-time previews and automated multi\-language format generation, which reduced translation errors by 90% and enhanced efficiency by 80%\.

SDE at AssessPrep, Sep 2020 \- Jun 2023 · 2 yrs 10 mos, Led impactful development initiatives in educational technology, with a focus on user experience enhancements and AI integration: • Product Development: Developed and maintained core JavaScript/JSX components like tables, filters, and lookups, used across thousands of pages, improving usability and consistency across platforms\. • User Engagement &amp; Admin Tools: Created an intelligent quick replies system for educators, resulting in a 40% increase in student engagement\. Engineered a comprehensive video playback control system, empowering administrators with advanced content management and insights into student viewing behavior\. • Localization &amp; Workflow Efficiency: Designed a VS Code extension that automated the localization workflow, featuring automated key replacement and real\-time preview, reducing localization time by 80% and error rates by 90%\. • AI\-Enhanced Assessment: Integrated ChatGPT APIs with custom prompts for automated essay grading and plagiarism detection, streamlining assessment processes for educators\. In this role, I played a pivotal part in driving user\-focused innovations and building scalable solutions that directly improved engagement, workflow efficiency, and operational reliability across our educational platforms\.

Intern at AssessPrep, Jun 2020 \- Aug 2020 · 3 mos, I worked extensively on ReactJs, JavaScript, CSS and HTML\. Contributed to frontend development initiatives while mastering modern UI frameworks

## Education

MCA, Rajasthan Technical University, Kota

BCA, University of Rajasthan

## Public links

- github: https://github\.com/hellorakeshjat

[View the original profile](https://tal.club/meet/rakesh-j)

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