---
title: "Pratik Asija - Developer in Bengaluru | Tal"
description: "Meet Pratik Asija, Developer @ SAP | ex-JPMC, UKG | PEC ’22 based in Bengaluru. AI stack includes anthropic apis, antigravity, and claude. Explore public work links including github and leetcode."
image: "https://tal.club/meet/pratik-asija/share-image"
---

# Pratik Asija on Tal

## Headline

Developer @ SAP \| ex\-JPMC, UKG \| PEC ’22

## About

I build backend systems that stay fast and reliable at scale\. Over 3\+ years at UKG, I designed a multi\-tenant microservices platform used by 3,000\+ enterprise customers, cut tenant data retrieval time by 60%, and reduced service downtime by 35%\. Core stack: Java, Spring Boot, Microservices, Kafka, Docker, Kubernetes, AWS, GCP, MongoDB, PostgreSQL, Redis\. Recent focus has been applying AI to engineering workflows — I built a RAG\-based internal knowledge assistant that cut technical query resolution time by 40%, and an AI\-driven defect triaging pipeline \(Splunk \+ GPT classification\) that reduced triage time by 50%\. Outside the day job: 600\+ DSA problems solved on LeetCode, technical writing on Medium and HackerNoon, and LogSage Agentic — an autonomous log\-analysis agent I built and shipped independently\. Currently exploring Senior Software Engineer / Backend Engineer roles where I can keep building systems that scale\. Open to connecting\.

## Location

Bengaluru

## AI stack

anthropic apis

antigravity

claude

gemini

github copilot

kiro

## Work experience

Developer at SAP, Apr 2026 \- Present · 7 mos, Bengaluru

Software Engineer II at JPMorganChase, Feb 2026 \- Mar 2026 · 2 mos, Hyderabad

Senior Software Engineer at UKG, Jan 2024 \- Jan 2026 · 2 yrs 1 mo, On\-site, \- Architected and scaled a multi\-tenant service registry platform using Java and Spring Boot, enabling discovery for 50\+ microservices and cutting cross\-service downtime by 35%\. \- Led a cross\-team migration \(12\+ engineers\) moving 3,000\+ enterprise customers from legacy systems to a new Java\-based platform with zero data loss and 100% uptime during cutover\. \- Cut tenant data retrieval time by 60% by building a low\-latency caching layer on MongoDB Change Streams with asynchronous processing\. \- Built a RAG\-based internal knowledge assistant \(LLMs \+ backend APIs\) that reduced technical query resolution time by 40% and was adopted company\-wide\. \- Designed an AI\-driven defect triaging pipeline \(Splunk Cloud logs \+ GPT classification \+ Java microservices\), cutting triage time by up to 50%\. \- Led the migration to OpenAM for centralized identity and access management, aligning with FedRAMP Moderate controls and OAuth2 to strengthen security posture and reduce audit findings\.

Software Engineer at UKG, Jul 2022 \- Dec 2023 · 1 yr 6 mos, Noida, \- Built a load\-testing framework with Gatling simulating 1M\+ transactions/hour to validate system scalability under extreme load\. \- Designed and deployed a Microsoft Teams Bot \(Java, REST APIs\) improving accessibility for 10,000\+ frontline workers, driving a 25% increase in daily active usage\. \- Introduced static analysis and automated testing \(SonarQube, JUnit, Mockito\) in CI/CD pipelines, cutting production defects by 15%\.

## Education

Bachelor of Technology \- BTech, Electronics and Communication Engineering, PEC University of Technology, Chandigarh

## Public links

- github: https://github\.com/asijapratik
- leetcode: https://leetcode\.com/pratik0513

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

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