Top Talent like Rahul are on Pangea

Pangea, a YC company, connects companies with fractional talent. Fractional hiring allows companies to move faster and work with more specialized talent, while giving talent more flexibility and independence. If you are talent open to fractional work, apply here. If you’re a company looking for high-quality fractional talent, learn more here.

Rahul Mohan Kumar

AI & Machine Learning Engineer
Full-stack Engineer
DevOps & Infrastructure Engineer
SF, CA, US
Natural Language Processing
Heuristic Evaluation
Software Engineering
Machine Learning
AI
Available for hire fromNegotiable
Contracts
Founding Engineer at MindFort (YC X25) | Building fully autonomous security agents
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)

Work History

M

Founding AI Engineer

MindFort AI (YC X25)Sep 2025 - Jan 2026 • 5 mos
I

Research Software Engineer

Institute of Cognitive Science at the University of Colorado - BoulderAug 2021 - Sep 2025 • 4 yrs 2 mos- 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.
U

Graduate Teaching Assistant

University of Colorado BoulderJan 2023 - May 2023 • 5 mos- 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.
L

Data Scientist

LiveRampMay 2022 - Aug 2022 • 4 mos- 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.
U

Graduate Teaching Assistant

University of Colorado BoulderJan 2022 - May 2022 • 5 mos- 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.
U

Graduate Student Assistant (Grader)

University of Colorado BoulderAug 2021 - Dec 2021 • 5 mos- 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.
N

Software Engineer

Nuclear Power Corporation of India LimitedSep 2020 - Aug 2021 • 1 yr- 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.
W

Software Engineer Intern

Walinns InnovationDec 2018 - Apr 2019 • 5 mos

Education

U

University of Colorado Boulder

Master of Science - MS, Computer Science
P

PSG College of Technology

Bachelor of Engineering - BE, Computer Science and Engineering

How Pangea Works

Effortlessly discover top talent

We've distilled the candidate search from endless hours down to just a few minutes. Using Pangea's AI-powered search tools, you can find top fractional talent able to take on your next project. Our system looks at your company's niche and your needs to find the perfect match faster than any traditional hiring platform.

Start working with talent today

The top talent on Pangea is ready to get started with you right now. You can message or hire a candidate right from their profile page and start assigning work as soon as they respond. And the best part? Pangea's fractional contract structure lets you start small and ramp up as your needs change, keeping your costs manageable and your team's capabliities flexible.

Track work and invoices in one place

Assign tasks, track progress, and complete invoices all on Pangea. We've combined every part of the hiring process into one platform to eliminate the miscommunication that's unavoidable on other freelance platforms. We even send out 1099s to your contractors at the end of the year!

Talk with a Talent Expert

Members of our team are available to help you speed through the hiring process.
Available Now
Book a Call
Founding Engineer at MindFort (YC X25) | Building fully autonomous security agents
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)

Talk with a Talent Expert

Members of our team are available to help you speed through the hiring process.
Available Now
Book a Call

Top Talent like Rahul are on Pangea

Pangea, a YC company, connects companies with fractional talent. Fractional hiring allows companies to move faster and work with more specialized talent, while giving talent more flexibility and independence. If you are talent open to fractional work, apply here. If you’re a company looking for high-quality fractional talent, learn more here.

Rahul Mohan Kumar

AI & Machine Learning Engineer
Full-stack Engineer
DevOps & Infrastructure Engineer
SF, CA, US
Natural Language Processing
Heuristic Evaluation
Software Engineering
Machine Learning
AI
Available for hire fromNegotiable
Contracts

Work History

M

Founding AI Engineer

MindFort AI (YC X25)Sep 2025 - Jan 2026 • 5 mos
I

Research Software Engineer

Institute of Cognitive Science at the University of Colorado - BoulderAug 2021 - Sep 2025 • 4 yrs 2 mos- 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.
U

Graduate Teaching Assistant

University of Colorado BoulderJan 2023 - May 2023 • 5 mos- 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.
L

Data Scientist

LiveRampMay 2022 - Aug 2022 • 4 mos- 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.
U

Graduate Teaching Assistant

University of Colorado BoulderJan 2022 - May 2022 • 5 mos- 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.
U

Graduate Student Assistant (Grader)

University of Colorado BoulderAug 2021 - Dec 2021 • 5 mos- 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.
N

Software Engineer

Nuclear Power Corporation of India LimitedSep 2020 - Aug 2021 • 1 yr- 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.
W

Software Engineer Intern

Walinns InnovationDec 2018 - Apr 2019 • 5 mos

Education

U

University of Colorado Boulder

Master of Science - MS, Computer Science
P

PSG College of Technology

Bachelor of Engineering - BE, Computer Science and Engineering

How Pangea Works

Effortlessly discover top talent

We've distilled the candidate search from endless hours down to just a few minutes. Using Pangea's AI-powered search tools, you can find top fractional talent able to take on your next project. Our system looks at your company's niche and your needs to find the perfect match faster than any traditional hiring platform.

Start working with talent today

The top talent on Pangea is ready to get started with you right now. You can message or hire a candidate right from their profile page and start assigning work as soon as they respond. And the best part? Pangea's fractional contract structure lets you start small and ramp up as your needs change, keeping your costs manageable and your team's capabliities flexible.

Track work and invoices in one place

Assign tasks, track progress, and complete invoices all on Pangea. We've combined every part of the hiring process into one platform to eliminate the miscommunication that's unavoidable on other freelance platforms. We even send out 1099s to your contractors at the end of the year!

Talk with a Talent Expert

Members of our team are available to help you speed through the hiring process.
Available Now
Book a Call
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