---
title: "Mohan Kumar Ragamsetty - Senior Software Engineer in Bengaluru | Tal"
description: "Meet Mohan Kumar Ragamsetty, Engineering @Parspec based in Bengaluru. AI stack includes antigravity, claude code, and claude. Explore public work links including github, leetcode, and codeforces."
image: "https://tal.club/meet/mohan-kumar-ragamsetty/share-image"
---

# Mohan Kumar Ragamsetty on Tal

## Headline

Engineering @Parspec

## About

I develop data platforms and web applications using cutting\-edge technologies such as Kafka, Spark, Snowflake, MERN, and AWS\. I have improved the performance, scalability, and reliability of the systems by implementing caching, microservices, multi\-threading, and mailing services\. I have also worked on a complete notification service and a genetic algorithm for machine learning\. I am a full stack developer with a passion for learning and adapting to new technologies and challenges\. I have a strong background in web development, using HTML, CSS, JS, Django, ReactJS, NodeJS, Redux, jQuery, and various testing tools\. I have also worked with multiple APIs, including Wit\.ai, Twilio, GCP, and Razorpay, for voice, speech, NLP, and payment features\. I am pursuing my BTech in Computer Science from Rajiv Gandhi University of Knowledge Technologies, where I have been selected for a state\-level web design and development competition\. I also have a certification in Applied Machine Learning in Python from the University of Michigan\.

## Location

Bengaluru

## AI stack

antigravity

claude code

claude

codex

cursor

gemini

## Work experience

Senior Software Engineer at Parspec, Aug 2025 \- Present · 1 yr 1 mo, Bengaluru, Karnataka, India

Cloud Software Engineer at Link Labs, Mar 2024 \- Aug 2025 · 1 yr 6 mos, Remote, • Developed an efficient Query Builder for Elasticsearch, enhancing query performance by fine\-tuning nodes\. • Designed and implemented an abstract API base using FastAPI for a petabyte\-scale system with robust RBAC and microservice architecture, reduced new API service creation time from 1 day to 30 minutes while leading a team of 5\. • Developed the UI using React with RBAC and custom components, reducing page load time by 40% through parallelizing API requests and user\-customizable design\. • Integrated efficient logging, profiling, and auditing for every request using Loki, pyinstrument, and Pulsar\. • Building a data platform using Kafka, Data Lake, Prometheus & Grafanafor logs & metrics with efficient Data Pipelines and Apache Superset for data visualization • Created a test framework with pytest, achieving 98% coverage using real dependencies and zero\-mocking\. • Optimized Docker build process, reducing build time from 5min to 10s through layers and caching\. Implemented Helm charts for Flux CD with Kubernetes • Enhanced application security with Keycloak, optimizing the authentication process from 1s to under 200ms\.

Software Engineer at Steinn Labs, Nov 2023 \- Mar 2024 · 5 mos, Remote, • Optimized API response time by over 85%, from 20\-30 seconds to under 3 seconds, utilizing Redis cache • Created a chatbot for users with Google VertexAI and Google Kubernetes Engine to interact with a given set of data • Optimized code with OOP principles & reusability, types & validations with Pydantic, and reduced codebase by 10% • Improved code coverage from 68% to 83%\* and upgraded the entire test suite to create robust test cases with pytest • Reduced the patient onboard time by 80% with self\-signup using Twilio

Senior Software Engineer at Edureka, Aug 2023 \- Oct 2023 · 3 mos, Bengaluru, Karnataka, India, • Developed a data platform using Kafka, Spark, Snowflake for analytics, and Grafana, Prometheus for logs, metrics\. • Designed, managed, and scaled a Kubernetes cluster for microservices orchestration

Software Engineer at Edureka, May 2022 \- Aug 2023 · 1 yr 4 mos, • Optimized API response time by 80% through caching\. • Led end\-to\-end development of a highly available MERN application, integrating Payment Gateway\. • Dockerized a GDPR\-compliant Django application with Node\.js backend, serving 10k\+ students, and implemented CI/CD with AWS CodePipeline\. • Designed, architected, and implemented a Notification service, along with a mailing service, that significantly improved response time from 4 seconds to under 100 milliseconds using multithreading\. • Applied Genetic Algorithms \(ML\) to craft complex schedules for a 10,000\+ students under challenging conditions\.

Full Stack Developer at Techtonik\.ai \(Formerly 'Chatgen\.ai'\), Jul 2021 \- Apr 2022 · 10 mos, Remote, • Developed Voicebot using Twilio, GCP \(Google Cloud Platform\) Speech to text, and text\-to\-speech APIs\. • Worked in back\-end development and created REST APIs using NodeJS and Wit\.ai for NLP • Handled 200M\+ documents in MongoDB, efficiently • Worked with ReactJS and also worked with Figma and static pages with responsive design • Worked with Mocha Chai, Jest, and React testing library for Unit testing • Worked in process of transferring leads from Chatgen to the client’s Salesforce sandbox\. • Worked in R & D and researched chatbot feature development and improvements

## Education

Bachelor of Technology \- BTech, Computer Science, Rajiv Gandhi University of Knowledge Technologies, RKValley \(RAC\)

## Public links

- github: https://github\.com/kingmohan45
- leetcode: https://leetcode\.com/kingmohan45
- codeforces: https://codeforces\.com/profile/kingmohan45
- kingmohan45\.com: https://kingmohan45\.com/aboutme

[View the original profile](https://tal.club/meet/mohan-kumar-ragamsetty)

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