Mohan Kumar Ragamsetty profile photo 1 on Tal

Mohan Kumar Ragamsetty

Engineering @Parspec

Bengaluru

5+ years of work experience

Parspec
Aug 20251 yr 1 moPresent

Bengaluru, Karnataka, India

Link Labs
Mar 20241 yr 6 mosAug 2025

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.
Steinn Labs
Nov 20235 mosMar 2024

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
Edureka
Aug 20233 mosOct 2023

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
Edureka
May 20221 yr 4 mosAug 2023

• 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.
Techtonik.ai (Formerly 'Chatgen.ai')
Jul 202110 mosApr 2022

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
GitHub
@kingmohan45
LeetCode
@kingmohan45
Codeforces
@kingmohan45
Personal portfoliokingmohan45.com/aboutme

Mohan’s AI Stack

antigravity
antigravity
claude code
claude code
claude
claude
codex
codex
cursor
cursor
gemini
gemini

Education

Rajiv Gandhi University of Knowledge Technologies, RKValley (RAC)

Bachelor of Technology - BTech, Computer Science

Rajiv Gandhi University of Knowledge Technologies, RKValley (RAC)

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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