---
title: "Vikash kumar - Senior Frontend Developer in Varanasi | Tal"
description: "Meet Vikash kumar, Immediate Joiner | Engineering@Lucidity | TypeScript | React | Node | Gen AI | Ex @Powerplay @Roadzen based in Varanasi. AI stack includes claude, codex, and cursor. Explore public work links including github."
image: "https://tal.club/meet/vikash-kumar-18/share-image"
---

# Vikash kumar on Tal

## Headline

Immediate Joiner \| Engineering@Lucidity \| TypeScript \| React \| Node \| Gen AI \| Ex @Powerplay @Roadzen

## About

I'm a Full\-Stack Engineer with 5 years of experience building scalable SaaS products\. My core expertise is in React, TypeScript, JavaScript, Redux, and modern frontend architecture, with growing experience in backend development using Node\.js, FastAPI, and PostgreSQL\. I enjoy building products end\-to\-end—from designing intuitive user experiences to developing reliable APIs and optimizing performance\. Lately, I've also been exploring AI\-powered applications, LLM integrations, and agentic workflows to build smarter, more efficient products\. I'm passionate about solving real\-world problems, taking ownership, and building software that's simple, scalable, and impactful\. <script src="https://platform\.linkedin\.com/badges/js/profile\.js" async defer type="text/javascript"></script>

## Location

Varanasi

## AI stack

claude

codex

cursor

gemini

ollama

opencode

## Work experience

Senior Frontend Developer at Lucidity, Jul 2024 \- Present · 2 yrs 2 mos, • Led frontend technical direction and mentored 4\+ engineers, reviewing architecture designs, enforcing best practices in React component design, state management, and performance optimization — reducing rework and PR iterations by \~30–40%\. • Owned frontend hiring for Junior to Senior roles, conducting 30\+ technical interviews and evaluating 100\+ coding assignments, while building a structured interview question bank and evaluation rubric, improving hiring consistency and candidate quality\. • Architected and led implementation of a resilient polling system using React, Redux Saga, and Axios, handling retries, race conditions, network failures, and stale data — improving real\-time UI reliability and reducing polling\-related production issues by \~40%\. • Designed a lightweight post\-login redirect system that captures deep\-link intent before authentication and restores it after login — required no backend changes, avoided stale redirects, and improved user retention by preserving navigation context\. • Introduced and owned a Git pre\-commit quality gate using Husky, ESLint, Prettier, and scoped tests — preventing low\-quality code from entering PRs, reducing CI failures by \~35%, lowering SonarQube violations, and accelerating the development lifecycle\. • Leveraged Cursor and Claude as AI pair\-programming tools to accelerate feature delivery — generating boilerplate, refactoring components, and writing test stubs, improving personal throughput by \~30–40%\.

Frontend Developer at Powerplay, Nov 2023 \- Apr 2024 · 6 mos, • Implemented a signature feature using HTML Canvas, enabling users to draw signatures or choose from different fonts, with functionality to convert signatures into PNG/JPEG format for seamless server upload\. • Implemented virtualization \(windowing\) techniques to manage and render large data streams in tables, delivering measurable reduction in rendering time and improving overall user experience for data\-heavy views\.

Software Engineer at Roadzen, Mar 2021 \- Jul 2023 · 2 yrs 5 mos, • Achieved a 50% reduction in administrative workload by integrating push notifications on the client side, leveraging GraphQL subscriptions for data retrieval, Apollo Client for state management, and Notistack for front\-end notification stacking\. • Automated image parsing and upload from iaai\.com using pre\-signed S3 URLs — reducing admin workload from 2–3 hours to 5–10 minutes per session, dramatically improving operational productivity\. • Enhanced AI model accuracy from 95% to 99% by implementing HTML Canvas for polygon\-based image annotation, enabling precise identification of dents and damages on car images for more reliable AI predictions\. • Led design and development of a B2C product in Next\.js from scratch — utilizing Redux, Saga, and Redux\-Form for dynamic forms, with Styled Components and Material UI for a seamless UX\.

Software Developer Internship at Herody, May 2020 \- Jul 2020 · 3 mos

Intern at Sarvpriye Foundation, Apr 2019 \- May 2019 · 2 mos

## Education

Bachelor's degree, Computer Science, Indian Institute of Information Technology Vadodara

Nanodegree, Data Structure and Algorithm, Udacity

## Public links

- github: https://github\.com/vikashyap99

[View the original profile](https://tal.club/meet/vikash-kumar-18)

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