---
title: "Yashwant Aditya - Full-Stack Engineer in Bengaluru | Tal"
description: "Meet Yashwant Aditya, Full-Stack Engineer (Java, Spring Boot, React, Next.js, TypeScript) | Building GenAI apps with Claude, Gemini, Groq & Ollama on AWS | Backend • REST APIs • Microservices based in Bengaluru. AI stack includes antigravity, claude code, and codex. Explore public work links includ..."
image: "https://tal.club/meet/yashwant-aditya/share-image"
---

# Yashwant Aditya on Tal

## Headline

Full\-Stack Engineer \(Java, Spring Boot, React, Next\.js, TypeScript\) \| Building GenAI apps with Claude, Gemini, Groq &amp; Ollama on AWS \| Backend • REST APIs • Microservices

## About

I'm a Full\-Stack Engineer with close to 3 years of experience building production applications in Java, Spring Boot, React, Next\.js, and TypeScript — and I independently build and deploy GenAI applications using Claude, Gemini, Groq, and Ollama on AWS\. At CBREX Technologies, I work on a multi\-tenant Applicant Tracking System \(ATS\) powering a B2B recruitment marketplace\. My biggest contribution has been owning the Candidate Portal end\-to\-end — the platform's first self\-serve application\-tracking experience for candidates, replacing manual recruiter updates\. I designed the relational schema and built JWT\-based, role\-scoped access control \(Spring Security\)\. Some other things I've shipped there: • A precompute\-and\-cache layer that cut recruiter\-facing match\-score latency from 20s\+ to \~2s, replacing live per\-view calls with scheduled Quartz jobs writing to dedicated DB tables\. • An automated weekly enterprise reporting pipeline \(Quartz\-scheduled Excel exports, transactional email, self\-serve React dashboards\), removing a recurring manual task from client\-success\. • Backend features extending CBREX's white\-label, domain\-based ATS architecture, so client companies can run on their own branded subdomain\. • Core contributor to two of the platform's largest frontend efforts — a legacy\-to\-React migration and a candidate\-tracking product revamp — including a reusable component library now used platform\-wide\. • REST APIs and relational data modeling for job\-matching and supplier\-metrics features, tuning composite indexes and query plans to cut DB load under high\-throughput traffic\. Outside my day job, I build things end\-to\-end\. My personal project, a Multi\-Provider AI Resume &amp; JD Matching Engine, is a full\-stack app \(Next\.js 14, Spring Boot 3, PostgreSQL\) plugging into four LLM providers — Claude, Gemini, Groq, and Ollama — behind a common interface, with async processing via Redis queues and an AWS deployment \(EC2/S3, least\-privilege IAM, no hardcoded credentials\)\. I also built the LLM orchestration behind an internal AI\-led interview product, tracing a latency issue to round\-trip hop count rather than backend speed and restructuring the real\-time flow to fix it\. I care about backend systems well\-modeled at the data layer, and about understanding AI systems deeply enough to reason about their performance and architecture — not just call an API\. Open to Full\-Stack, Backend, and AI Application Engineer roles in Bengaluru or remote within India\. Always happy to talk Java, Spring Boot, system design, or applied GenAI — feel free to connect\.

## Location

Bengaluru

## AI stack

antigravity

claude code

codex

github copilot

openai

## Work experience

Full\-Stack Engineer at CBREX, Nov 2023 \- Present · 2 yrs 11 mos, Bengaluru, CBREX is a B2B recruitment marketplace — a global talent\-exchange platform built on a multi\-tenant Applicant Tracking System \(ATS\)\. • Owned the Candidate Portal end\-to\-end \(Next\.js/TypeScript \+ Spring Boot\) — the platform's first self\-serve application\-tracking experience for candidates, replacing manual recruiter updates\. Designed the relational schema and built JWT\-based, role\-scoped access control \(Spring Security\) for candidates and recruiters\. • Cut recruiter\-facing match\-score fetch latency \~10x \(20s\+ → \~2s\) by designing a precompute\-and\-cache layer: new DB tables for match scores and salary benchmarks, refreshed via scheduled Quartz jobs against an internal AI\-matching microservice — replacing live per\-view calls with a direct DB read\. • Automated the weekly enterprise client reporting pipeline — Quartz\-scheduled Excel exports, transactional email delivery, and self\-serve React dashboards — removing a recurring manual task from the client\-success team's plate\. • Core contributor to the platform's two largest frontend initiatives: a legacy\-to\-React migration and a candidate\-tracking product revamp\. Built a reusable component library and shared framework primitives now used platform\-wide\. • Designed REST APIs and the relational data layer for job\-matching and supplier\-metrics features \(Spring Boot, JPA, native SQL with correlated subqueries and multi\-table joins\)\. Tuned composite indexes and analyzed query execution plans to reduce DB load under high\-throughput traffic\. • Contributed to migrating a new user persona off the platform's legacy Struts monolith into its microservices architecture, building the migrated functionality within existing service boundaries\. • Extended CBREX's white\-label, domain\-based ATS architecture with backend features that let client companies run the platform on their own branded subdomain\.

## Education

B\.Tech, Compute Science And Engineering, Lovely Professional University

XII, PCM, kendriya vidyalaya

## Public links

- github: https://github\.com/yaswant567
- leetcode: https://leetcode\.com/yaswant\_567\_

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

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