---
title: "Sambit Biswal - Software Engineer II in Bengaluru | Tal"
description: "Meet Sambit Biswal, SWE II @ JPMorganChase | Low Latency Payments Engineer | Building Slydr based in Bengaluru. AI stack includes claude code, claude, and codex."
image: "https://tal.club/meet/sambit-ranjan-biswal/share-image"
---

# Sambit Biswal on Tal

## Headline

SWE II @ JPMorganChase \| Low Latency Payments Engineer \| Building Slydr

## About

Backend engineer focused on low\-latency, high\-throughput distributed systems in the payments domain\. At JPMorgan Chase, I’ve worked on performance\-critical systems, improving throughput from 9K to 36K TPS and reducing latency by \~40% through optimized batching and messaging architectures\. My work involves building scalable microservices, designing event\-driven systems, and solving complex concurrency and performance challenges\. I have hands\-on experience with technologies like Java, Spring Boot, Kafka, Aeron, Chronicle Queue, and LMAX Disruptor, and a strong focus on system efficiency, reliability, and production readiness\. I enjoy working on problems where performance, scalability, and system design intersect, and I’m currently focused on strengthening my problem\-solving skills and preparing for high\-impact engineering roles\.

## Location

Bengaluru

## AI stack

claude code

claude

codex

cursor

gemini

geminicli

## Work experience

Software Engineer II at JPMorganChase, Nov 2024 \- Present · 1 yr 11 mos, Bengaluru, Karnataka, India, \- Designed and implemented a low\-latency micro\-batching engine using LMAX Disruptor for high\-frequency transaction processing \- Improved system throughput from 9K to 36K TPS by optimizing batching strategies and processing pipelines \- Reduced transaction latency from \~250ms to \~150ms through performance tuning and bottleneck analysis \- Built a performance testing framework using Gatling and BlazeMeter to simulate real\-world payment workflows \- Developed high\-performance messaging pipelines using Aeron and Chronicle Queue for replayable and reliable processing \- Worked on low\-latency distributed systems in the payments domain, focusing on high\-throughput and concurrency optimization \- Optimized system design using multithreading and event\-driven architecture, improving scalability and fault tolerance \- Collaborated on performance tuning, system design, and production readiness for mission\-critical financial systems

Associate Software Engineer at Wissen Technology, Jul 2024 \- Oct 2024 · 4 mos, Bengaluru, Karnataka, India, \- Contributed to development of an internal messaging platform using Apache Kafka, supporting asynchronous communication between services \- Worked on producer/consumer integrations, ensuring reliable message flow and data consistency \- Assisted in debugging and monitoring message pipelines to improve system stability

Software Engineer at Zaggle, Jul 2022 \- Jan 2024 · 1 yr 7 mos, Hyderabad, Telangana, India, – Pioneered internal gateway portal design with role\-based authorization, JWT token\-based preauthentication, and seamless Keycloak integration for OAuth 2\.0 access control\. Cut data ingestion time by 38% through automated ELK data ingestion and ameliorated data visualization using Kibana for in\-depth analysis\. – Optimized CI pipeline using Jenkins to automate code builds and testing, enhancing software quality and reducing manual processes by 63%\. – Transformed software deployment using Docker and AWS services \(EC2, ECR, VPC, EKS\) to deploy microservices in Kubernetes, scaling the system up by 60% for elevated performance and scalability\.

Engineer Trainee at Zaggle, Jan 2022 \- Jun 2022 · 6 mos, Hyderabad, Telangana, India, – Migrated Merchant Gift System to Spring Boot, delivering 30% faster and boosting user traffic by 47% via improved data efficiency and tailored APIs\. – Led rigorous testing and precise bug fixing, resulting in a remarkable 46% reduction in system downtime\. This bolstered system reliability, ensuring smooth daily operations for the client\. – Consistently delivered high\-quality software within an agile team, achieving a 95% on\-time project completion rate\. – Efficiently integrated Zaggle with CreditMantri and iWorks, optimizing efficiency with a 32% reduction in integration time through secure data transfer methods\.

## Education

Bachelor of Technology \- BTech, Electrical, Electronics and Communications Engineering, CHARUSAT

Science, New Era Secondary School \- India

[View the original profile](https://tal.club/meet/sambit-ranjan-biswal)

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