---
title: "Atul Yadav - Senior Software Engineer in Mumbai | Tal"
description: "Meet Atul Yadav, Senior Backend Engineer | Distributed Systems | Python/FastAPI, Java/Spring Boot, Kafka, AI Workflows, Kubernetes | IIT BHU based in Mumbai. AI stack includes anthropic apis, claude code, and claude. Explore public work links including github."
image: "https://tal.club/meet/atul-yadav/share-image"
---

# Atul Yadav on Tal

## Headline

Senior Backend Engineer \| Distributed Systems \| Python/FastAPI, Java/Spring Boot, Kafka, AI Workflows, Kubernetes \| IIT BHU

## About

Senior Backend Engineer with 3\+ years of experience building distributed backend systems, workflow orchestration platforms, and cloud\-native microservices for enterprise\-scale environments\. I specialize in Java/Spring Boot, Python/FastAPI, Kafka, Redis, PostgreSQL, Kubernetes, distributed locking, concurrency control, scheduling systems, observability, and AI\-driven automation workflows\. At KPIT Technologies, I work on backend platforms supporting large\-scale automotive engineering and virtualization use cases for global enterprise clients including Mercedes\-Benz, BMW, and Ford\. My work focuses on designing reliable backend systems that handle long\-running workflows, resource admission, task orchestration, CI/CD automation, human\-in\-the\-loop execution, and production observability\. Key impact areas: • Architected a task orchestration engine running 30\+ concurrent tasks with priority scheduling, queueing, polling, graceful cancellation, and workflow state management\. • Re\-architected job scheduling across 6 microservices by removing repeated DB lookups and config parsing from the hot path, improving reliability under high queue depth\. • Built batch license and resource admission systems using reservation ledgers, TTL\-based holds, SERIALIZABLE isolation, Kubernetes CPU/RAM checks, and reconciliation watchdogs\. • Led database normalization and migration across 10\+ core tables with zero data loss, improving query performance by 30–40%\. • Introduced Redis caching across 5\+ services, reducing p99 latency by approximately 35% and database load by 40%\+\. • Implemented Kafka consumer throttling for approximately 30K events/day and built Grafana/DLQ monitoring across 20\+ metrics, reducing incident detection time by 50%\. • Delivered backend services supporting 10M\+ annual API requests across enterprise automotive platforms\. My core engineering strengths include backend architecture, distributed systems, API design, event\-driven systems, high\-concurrency workflows, Kubernetes\-based resource management, database optimization, cloud\-native development, and observability\. I am interested in backend engineering, distributed systems, platform engineering, AI workflow automation, and scalable cloud\-native architectures\.

## Location

Mumbai

## AI stack

anthropic apis

claude code

claude

codex

cursor

claudecode

## Work experience

Senior Software Engineer at KPIT, Oct 2025 \- Present · 11 mos, Pune Camp, • Architected a task orchestration engine running 30\+ concurrent tasks with priority scheduling, queueing, polling, graceful cancellation, and workflow state management, unifying AI\-driven automation, CI/CD agents, and human\-in\-the\-loop workflows\. • Re\-architected job scheduling across 6 microservices by normalizing license and resource profiles at upload time, eliminating repeated DB lookups and config parsing from the hot path\. • Replaced single\-pipeline locking with atomic batch admission, enabling 30\+ concurrent tasks to be admitted reliably while preventing linear degradation under queue depth\. • Developed a batch license admission engine using reservation ledgers, license\-profile hashing, SERIALIZABLE isolation, and TTL\-based holds to safely compute max\-runnable capacity and reduce lock contention\. • Engineered a Python/FastAPI resource admission layer with batch CPU/RAM checks across Kubernetes clusters, per\-pipeline safety buffers, atomic reservations, and a 60\-second reconciliation watchdog to self\-heal expired or orphaned holds\. • Led database normalization and migration across 10\+ core tables with zero data loss, improving query performance by 30–40%\. • Introduced Redis caching across 5\+ services, reducing p99 latency by approximately 35% and database load by 40%\+\. • Implemented partition\-based throttling for Kafka consumers processing approximately 30K events/day\. • Established Grafana and DLQ\-based alerts across 20\+ production metrics, reducing incident detection time by 50%\.

Software Engineer 2 at KPIT, Oct 2024 \- Sep 2025 · 1 yr, Pune District, • Served as a Forward Deployed Engineer for Mercedes\-Benz, BMW, and Ford, converting 3\+ proof\-of\-concepts into long\-term enterprise deployments\. • Delivered backend services using Java/Spring Boot and Python/FastAPI, supporting 10M\+ annual API requests across enterprise automotive platforms\. • Created a global hardware management platform supporting 1,000\+ hardware devices across multiple regions with secure provisioning, monitoring, and lifecycle operations\. • Integrated Kafka\-based asynchronous messaging across 5\+ microservices, improving fault tolerance, service decoupling, and long\-running workflow reliability\. • Optimized secure access workflows using Apache Guacamole, reducing login latency by 85% and improving developer productivity\. • Collaborated with enterprise stakeholders to convert customer requirements into scalable backend services, deployment workflows, and production\-ready platform features\.

Software Developer 1 at KPIT, Jun 2023 \- Dec 2024 · 1 yr 7 mos, Pune District, • Led backend development for a Unified Portal managing 1,000\+ cloud and on\-premise environments globally\. • Enhanced 8\+ microservices for environment provisioning, telemetry, orchestration, and virtual test\-environment management\. • Implemented distributed locking and multi\-region workflows to improve reliability under high\-concurrency access patterns\. • Automated CI/CD pipelines using GitLab CI/CD, Docker, and Kubernetes, reducing deployment time by 65%\. • Built REST APIs and backend workflows for environment lifecycle operations, access control, provisioning, and monitoring\. • Improved backend reliability, API performance, and deployment consistency across cloud\-native and on\-premise environments\.

SWE Intern at KPIT, May 2022 \- Jul 2022 · 3 mos, Pune District, • Contributed to a microservices\-based SaaS platform focused on backend performance, fault tolerance, and service\-to\-service communication\. • Developed REST APIs and inter\-service communication flows to improve service integration and reduce latency\. • Gained hands\-on experience in backend development, API design, microservices, debugging, and performance optimization\.

## Education

Bachelor of Technology, Indian Institute of Technology \(Banaras Hindu University\), Varanasi

Jawahar Navodaya Vidyalaya \- JNV

## Public links

- github: https://github\.com/2002atulyadav

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

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