---
title: "Yash Kumar - Applied AI Engineer in Bengaluru | Tal"
description: "Meet Yash Kumar, Software Engineer | Full-Stack & AI-Powered Web Apps | Next.js, TypeScript, Python based in Bengaluru. AI stack includes antigravity, cursor, and claudecode. Explore public work links including github."
image: "https://tal.club/meet/yash-kumar-2/share-image"
---

# Yash Kumar on Tal

## Headline

Software Engineer \| Full\-Stack & AI\-Powered Web Apps \| Next\.js, TypeScript, Python

## About

Full\-Stack Developer with 2\+ years of experience building production\-grade web applications at Fibr AI — a $7\.5M seed\-funded startup backed by Accel\. I specialize in Next\.js, TypeScript, Python, and React, with hands\-on experience integrating LLMs \(OpenAI APIs\), building real\-time systems \(WebSockets\), and shipping AI\-powered personalization features used by enterprise marketing teams\. At Fibr AI, I've worked on: • Ads\-to\-Web & LLM\-to\-Web Personalization platforms • Real\-time content adaptation using GA data and Multi\-Armed Bandit algorithms • Scalable APIs, CI/CD pipelines, and full\-stack features from zero to production I thrive in fast\-paced, early\-stage environments where I can own problems end\-to\-end and work directly with founders\. I'm actively open to Software Engineer / Full\-Stack roles at high\-growth startups — especially those working on AI, developer tools, or SaaS\. Stack: Next\.js · React · TypeScript · Python · Node\.js · PostgreSQL · REST APIs · OpenAI · WebSockets · CI/CD Feel free to reach out — always happy to connect with founders and builders\.

## Location

Bengaluru

## AI stack

antigravity

cursor

claudecode

## Work experience

Applied AI Engineer at Avaamo, Jul 2026 \- Present · 2 mos, Bengaluru, Karnataka, India

Software Engineer at Fibr AI, Jan 2025 \- May 2026 · 1 yr 5 mos, Bangalore Urban, Karnataka, India, • Built core features for Fibr's Ads\-to\-Web and LLM\-to\-Web Personalization platforms, enabling enterprise marketing teams to deliver dynamic, context\-aware landing page experiences at scale — contributing to \~20%\+ conversion uplift for enterprise clients • Integrated OpenAI APIs and LLM pipelines to power real\-time content generation and web personalization, reducing manual content creation time significantly • Implemented Multi\-Armed Bandit \(MAB\) algorithms for traffic optimization, directly contributing to measurable conversion improvements across enterprise deployments • Developed real\-time systems using WebSockets and GA data to dynamically adapt content for each site visitor, improving engagement and conversion metrics • Built and maintained scalable REST APIs, collaborated on CI/CD pipelines, and owned features end\-to\-end from design to production Stack: Next\.js · React · TypeScript · Python · Node\.js · PostgreSQL · MongoDB · OpenAI API · WebSockets · CI/CD

Software Engineer at PW \(PhysicsWallah\), Apr 2023 \- Jan 2025 · 1 yr 10 mos, Bengaluru, Karnataka, India, Architected and developed a high\-traffic Support Platform and LMS for iNeuron, achieving 2000\+ daily query resolutions and attracting 80,000 monthly visitors\. • Built an AI\-powered Doubts Ticketing System that intelligently categorizes student queries using LLM\-based classification and auto\-assigns tickets to relevant SMEs, reducing manual triage effort by ˜60%\. • Integrated AI\-driven prioritization to surface high\-urgency and frequently recurring doubts, improving average resolution turnaround by ˜30% and helping SMEs address critical issues faster\. • Designed and built student\-facing dashboards using React and Redux for course access, doubt submission, and progress tracking, serving 80,000\+ monthly active users\. • Built the SME dashboard for ticket management, response tracking, and performance analytics, used by 50\+ subject matter experts to manage their student queries\. • Developed and maintained RESTful APIs using Node\.js, Express, and MongoDB, including authentication, role\-based access control, and ticket lifecycle management\. • Optimized backend queries and frontend rendering to reduce average page load time by ˜40% and cut API response latency by ˜50%, supporting the platform’s growing user base\. • Collaborated closely with Product, Design, and SME teams to scope, ship, and iterate on features in a fast\-moving edtech environment\.

Teaching Assistant at iNeuron\.ai, Jul 2022 \- Sep 2022 · 3 mos, Bengaluru, Karnataka, India, Assisted students in learning and building full\-stack web applications using the MERN stack \(MongoDB, Express\.js, React\.js, and Node\.js\)\. Guided learners through frontend and backend development concepts, debugging, API integration, authentication, database design, and deployment workflows\. Key Responsibilities: Mentored students in building scalable full\-stack applications using MongoDB, Express\.js, React\.js, and Node\.js\. Conducted doubt\-solving sessions and code reviews for React, JavaScript, and backend APIs\. Helped students understand REST APIs, authentication, state management, and database operations\. Assisted in debugging, optimizing, and deploying MERN applications\. Supported hands\-on project development using Git, GitHub, and modern development workflows\. Collaborated with instructors to improve learning materials and technical assignments\.

## Education

Bachelor of Technology \- BTech, Information Technology, IMS Engineering College, Ghaziabad

## Public links

- github: https://github\.com/yashsaini7060

[View the original profile](https://tal.club/meet/yash-kumar-2)

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