---
title: "Ashwin Chenat - Software Engineer in Bengaluru | Tal"
description: "Meet Ashwin Chenat, Software Engineer · Backend & Infrastructure · Distributed Systems based in Bengaluru. AI stack includes deepmind, gemini, and hermes agent. Explore public work links including github."
image: "https://tal.club/meet/ashwin-chenat/share-image"
---

# Ashwin Chenat on Tal

## Headline

Software Engineer · Backend & Infrastructure · Distributed Systems

## About

Software Engineer with 2\+ years of experience across backend development, infrastructure, and distributed systems currently focused on backend engineering and scalable API design\. Previously at Qure\.ai \(Series C AI healthcare, 50\+ hospitals globally\) as a DevOps & Infrastructure Engineer, where I owned production Linux environments, Docker deployments, AWS/Azure cloud infrastructure, CI/CD pipelines, and monitoring with Datadog supporting backend services at scale in a regulated healthcare environment\. Since then, I've been deliberately building backend engineering depth through freelance client work and personal projects: → Distributed Rate Limiter — Token Bucket \+ Sliding Window algorithms, microservice architecture, \~47 req/s throughput, p95 latency under 100ms \(Node\.js, Redis, Docker, k6\) → DevPath — Full\-stack MERN platform with Redis\-powered recommendation engine, JWT auth, 45% API latency reduction via MongoDB optimisation → SocialPulse — Real\-time analytics backend processing high\-volume social data streams, sub\-50ms response times \(FastAPI, Node\.js, MongoDB, Redis\) Core skills: Node\.js · Express\.js · MongoDB · Redis · AWS · Docker · Python · Linux · Ansible · Data structure and Algorithms · Datadog · System Design · CI/CD I bring something most backend engineers don't , I've lived on both sides of the deployment boundary\. I know how my code behaves in production because I've been the one keeping that production running\. 📩 Reach me at: cashwin2002@gmail\.com

## Location

Bengaluru

## AI stack

deepmind

gemini

hermes agent

railway

## Work experience

Software Engineer at Self\-Employed, Nov 2024 \- Present · 1 yr 7 mos, Remote, Worked independently as a backend and full\-stack developer, delivering production ready applications for clients across multiple domains while concurrently upskilling in Data Structures, Algorithms, and System Design at Bosscoder Academy\. • Built and shipped full\-stack web applications using the MERN stack \(MongoDB, Express\.js, React, Node\.js\) for multiple client engagements across SaaS and productivity domains\. • Designed and developed RESTful backend APIs with JWT\-based authentication, role\-based access control, and Redis caching optimizing for performance and security from day one\. • Deployed client projects on AWS \(EC2, S3\) and Docker, ensuring production grade reliability and uptime\. • Applied distributed system principles from academic study directly to freelance work including rate limiting, caching strategies, and scalable API architecture\. • Independently managed end\-to\-end delivery: requirement gathering, system design, development, testing, and deployment\.

Software Engineer \(Backend & Infrastructure\) at Qure\.ai, Jun 2023 \- Sep 2024 · 1 yr 4 mos, Bengaluru, • Managed and optimised Linux server environments supporting production workloads for Qure\.ai's AI radiology platform ensuring reliability across services used by 50\+ hospitals globally\. • Owned Docker containerisation workflows for application deployment, improving environment consistency and reducing deployment errors across the engineering team\. • Managed cloud infrastructure across AWS and Azure platforms provisioning, configuring, and maintaining services to support backend application uptime and scalability\. • Automated infrastructure configuration and operational tasks using Ansible, reducing manual effort and enabling faster, repeatable environment provisioning\. • Maintained Fortinet firewall configurations to enforce network security policies protecting production backend systems and sensitive healthcare data\. • Implemented monitoring and performance tuning pipelines using Datadog, proactively identifying infrastructure bottlenecks and resolving issues before they impacted application availability\. • Collaborated with backend engineering teams to support operational goals bridging infrastructure and software delivery to improve system reliability end\-to\-end\.

Devops intern at Cloud Enabled, Mar 2023 \- Jun 2023 · 4 mos, Bengaluru, Karnataka, India, \- Managed cloud infrastructure on AWS \(EC2, S3, RDS, IAM, VPC\) to support backend application deployments and testing environments\. \- Automated infrastructure provisioning and monitoring using Python, Bash, and Terraform, reducing environment setup time by 50%\. \- Assisted in designing high\-availability architectures involving load balancing, fault tolerance, and optimized database access patterns\. \- Improved monitoring and alerting pipelines using CloudWatch and custom scripts to enhance service uptime\.

## Education

Computer Software Engineering, Bosscoder Academy

Bachelor's degree, Cloud computing and big data, Reva University

## Public links

- github: https://github\.com/0xAshwinchenat

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

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