Rahul Mohan Kumar
Founding Engineer at MindFort (YC X25) | Building fully autonomous security agents
5 yrs experience · San Francisco, CA · <10 hrs/week
About
Hi, I'm Rahul I'm a Software Engineer with a passion for building intelligent, scalable, and high-performance systems that bridge the gap between software engineering and machine learning. With a strong background in AI, cloud computing, and data-driven systems, I thrive on solving complex problems and optimizing systems for efficiency and real-world impact. My experience spans across machine learning, MLOps, backend development, and cloud infrastructure, where I have worked on designing robust architectures, automating workflows, and improving performance at scale. I enjoy collaborating with cross-functional teams, leveraging cutting-edge technologies, and continuously learning to stay ahead in this fast-evolving field. I’m always open to exploring new opportunities, discussing innovative ideas, and connecting with like-minded professionals who are passionate about AI and software engineering. Let’s build something impactful together! Feel free to reach out via LinkedIn DM or email (rahulkmk66@gmail.com)
Skills
Experience
- Founding AI Engineer · MindFort AI (YC X25)2025-09-01 – 2026-01-01
- Research Software Engineer · Institute of Cognitive Science at the University of Colorado - Boulder2021-08-01 – 2025-09-01
- Developed and optimized LLMs and RAG systems for enterprise applications, leveraging PyTorch, TensorFlow, and Hugging Face, achieving an 80% reduction in model size while maintaining performance. - Automated model training, evaluation, and deployment workflows on Linux servers, utilizing containerization (Docker) and orchestration (Kubernetes) tools, along with Bash scripting. - Conducted detailed analysis of model behavior and neuron activation patterns using data analytical techniques, identifying performance bottlenecks and opportunities for improvement. - Built interactive web dashboards using React.js and PySpark on Google Cloud Platform, visualizing the activation space atlas for over 500k+ neurons from LLM and RAG models, enabling cross-functional collaboration with stakeholders.
- Graduate Teaching Assistant · University of Colorado Boulder2023-01-01 – 2023-05-01
- Facilitated and helped manage a dynamic learning environment for a large class of over 100 students in the course "Psychological Statistics using R (PSYC 2111)". - Conducted interactive recitation classes to reinforce concepts and enhance understanding. - Developed and evaluated weekly assignments and projects, providing detailed feedback for student improvement. - Collaborated with faculty in curriculum development, actively participating in refining the course structure. - Hosted regular office hours, providing dedicated support to students for a better understanding of statistical methodologies and course content.
- Data Scientist · LiveRamp2022-05-01 – 2022-08-01
- Revamped LiveRamp's automated lookalike modeling solution, leveraging dynamic dimensionality reduction techniques. - Conducted extensive research on XGBoost and BQML. Translated research findings into practical analytical data products, providing a deeper understanding of lookalike application usage and supporting future developments. - Implemented a robust data pipeline for cleaning and deduplicating incoming CRM PII data before onboarding into LiveRamp Safe Haven. Achieved a remarkable 10-fold increase in application throughput, reducing erroneous identifiers and minimizing over-connected graph components, optimizing overall data quality and efficiency. - Developed prototypes for an ElasticSearch-powered Kibana UI, significantly enhancing search capabilities within the 3rd party data catalog. - Introduced a Neo4J Bloom dashboard for visualizing application usage metadata stored in GCP Firestore, making data exploration more intuitive and insightful for internal stakeholders.
- Graduate Teaching Assistant · University of Colorado Boulder2022-01-01 – 2022-05-01
- Facilitated and helped manage a dynamic learning environment for a large class of over 300 students in "Computer Science 1: Starting Computing (CSCI 1300)." - Conducted regular recitations, providing additional support and clarification on course concepts. - Conducted regular office hours to assist students with inquiries and reinforce understanding of course material. - Graded papers and assignments, providing constructive feedback to enhance student understanding. - Developed weekly assignments and term projects, contributing to student learning outcomes. Assisted in course planning and curriculum development as well.
- Graduate Student Assistant (Grader) · University of Colorado Boulder2021-08-01 – 2021-12-01
- Provided valuable support and helped administer a class of 85 students for "Cognitive Science (CSCI 3702)". - Evaluated assignments and provided constructive feedback on a consistent basis, ensuring accurate evaluation of student work and enhanced student understanding. - Conducted regular office hours, offering dedicated assistance to students and addressing their questions, ensuring a supportive learning environment.
- Software Engineer · Nuclear Power Corporation of India Limited2020-09-01 – 2021-08-01
- Spearheaded the development of a cutting-edge Surface Anomaly Detection and Profiling tool for Nuclear Power Plants, employing Computer Vision, surface phase detection, and 3D imaging/processing. - Integrated robotic manipulators and sensors to enable autonomous surface inspection and precise defect localization, enhancing overall plant safety and efficiency. - Conducted rigorous testing in simulated nuclear plant environments to validate the accuracy and reliability of defect detection, profiling, and robotic manipulation, ensuring robust performance in real-world scenarios.
- Software Engineer Intern · Walinns Innovation2018-12-01 – 2019-04-01
Education
- University of Colorado BoulderMaster of Science - MS, Computer Science
- PSG College of TechnologyBachelor of Engineering - BE, Computer Science and Engineering
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