Software Engineer @ AMD
I am a Lead Software Engineer with 10+ years of industry experience—including 2 years in management—and a strong passion for complex systems design, DevSecOps, Embedded Systems, Distributed Systems.
My research interests lie at the intersection of Applied AI, Embedded Systems, and Cloud Computing.
Proficient in Python (3.x), C++17, and Data Structures & Algorithms, I thrive on solving challenging technical problems at scale.
I excel at rapidly understanding large codebases and am deeply passionate about problem-solving, product building, and technical leadership.
Highlights: 14 Publications | 11 Conference Talks | 85+ Manuscripts Reviewed | 11 Hackathons Judged
Education
M.S. in Electrical and Computer Engineering
Advisor:
Yunsi Fei
B.E. in Electrical and Electronics Engineering
Work Experience
Jan 2025 - Present
Dec 2024 - Jan 2025
During my brief tenure at Bain Capital—parent company of my former employer, athenahealth—I continued the data engineering efforts. Specifically, I designed and implemented Airflow DAGs and data flows to streamline data warehousing operations, while also contributing to a multi-tenant Airflow architecture that ensured scalability and efficiency across the organization.
Sep 2020 - Dec 2024
At athenahealth, my team built a 'Unified Deployment Pipeline' to integrate multiple tech stacks, enhancing service visibility and improving release and product quality. As Lead Member of Technical Staff, I specialized in system design, architecture, and DevSecOps, acting as a domain expert. My responsibilities also included promoting productivity and effectiveness through inclusive collaboration and ownership. I actively designed, developed scalable, secure, and resilient micro-services and deployed infrastructure through code. my team's CI/CD and DevOps initiatives have improved systems and prevented regressions, and drove innovation in technical system development across teams.
July 2015 - Sep 2020
My work revolved around building the next generation of Bose Wearable's - headphones, earbuds & frames. Involved in full stack software development which includes embedded, mobile apps, cloud and built-in security across all layers the stack. Build platforms by architecting reusable building blocks and enabling faster and efficient product creation. Implemented features around Voice prompts, Battery manager, Bluetooth stack and fixed high and critical bugs by deadlines consistently.
Jan 2014 - May 2015
Designed and developed robotic haptic models for user-system feedback. Simulated an embedded system model for trajectory tracking / control of a robot for telepresence.
Selected Honors and Awards
2024
Honored for transformative insights and cutting edge research based on the talk - Artificial Intelligence Driven Automation in DevOps, Transforming Security and Resilience at at International Conference on Multidisciplinary Research (ICMR-2024)
2023
Awarded in honor of outstanding performance in financial year 2023
2022
Awarded in honor of outstanding performance and impact to business
2015, 2016, 2017, 2018, 2019
Awarded for exceptional performance, outstanding technical contributions and impact to business.
2012
Awarded for the paper - 'Establishing Design Routines for Effective Control of Automated Robots'
Publications
Dynamic Secret Injection for Microservices in the Cloud
Advait Patel
,
Ravi Laudya
,
Hariharan Ragothaman
,
Pravin Pandey
,
Saai Krishnan Udayakumar
,
Adi Sheth
8th IEEE International Conference on Information and Computer Technologies (ICICT), Hilo, Hawaii, USA. 2025.
Leveraging Generative AI for Proactive Cybersecurity Threat Detection in Cloud Environments
Advait Patel
,
Ravi Laudya
,
Hariharan Ragothaman
,
Pravin Pandey
,
Saai Krishnan Udayakumar
,
Adi Sheth
8th IEEE International Conference on Information and Computer Technologies (ICICT), Hilo, Hawaii, USA. 2025.
Applying Artificial Intelligence to DevOps - A Study on AI-Driven Anomaly Detection and Predictive Maintenance in Cloud Environments
Advait Patel
,
Ravi Laudya
,
Hariharan Ragothaman
,
Pravin Pandey
1st IEEE Conference on Secure and Trustworthy Cyber Infrastructure for IoT and Microelectronics (SaTC) , Dayton, Ohio, USA. 2025.
Generative AI for Automated Security Operations in Cloud Computing
Advait Patel
,
Pravin Pandey
,
Hariharan Ragothaman
,
Ramasankar Molleti
,
Diwakar Reddy Peddinti
4th IEEE International Conference on AI in Cybersecurity (ICAIC), Houston, Texas, USA. 2025.
Securing Cloud AI Workloads - Protecting Generative AI Models from Adversarial Attacks
Advait Patel
,
Pravin Pandey
,
Hariharan Ragothaman
,
Ramasankar Molleti
,
Ajay Tanikonda
4th IEEE International Conference on AI in Cybersecurity (ICAIC), Houston, Texas, USA. 2025.
A Novel Dataset and a Hybrid Ensemble Approach for Anomaly Detection in Enterprise-Access-Logs for Anomaly Detection
Hariharan Ragothaman
,
Saai Krishnan Udayakumar
,
Kumar Manas Khare
3rd IEEE International Conference on Data Science, Agents and Artificial Intelligence (ICDSAAI), Chennai, India. 2025.
Optimizing Service Deployments with NLP based Infrastructure Code generation - An Automation Framework
Hariharan Ragothaman
,
Saai Krishnan Udayakumar
2nd IEEE International Conference on Electrical Engineering, Computer and Information Technology (ICEECIT), Jember, Indonesia. 2024.
Analysis of Prediction Models and Region of Interest Detection Techniques for Optimized Image Classification
Preetish Kakkar
,
Hariharan Ragothaman
,
Amit Bharadwaj
,
Prashant Singh Rana
6th International Conference on Communication and Intelligent Systems (ICCIS-2024), NIT Bhopal, India. 2024.
Leveraging Large-Language Models based Machine Learning for Sentiment Analysis and Regional Consumer Insights in Amazon Product Reviews
Preetish Kakkar
,
Srijani Mukherjee
,
Hariharan Ragothaman
,
Vishal Mehta
Journal of Computational Analysis and Applications. 2024.
Physics Based Differentiable Rendering for Inverse Problems and Beyond
Preetish Kakkar
,
Srijani Mukherjee
,
Hariharan Ragothaman
,
Vishal Mehta
Journal of Electrical Systems. 2024.
The Evolution of Volumetric Video - A Survey of Smart Transcoding and Compression Approaches
Preetish Kakkar
,
Hariharan Ragothaman
International Journal of Computer Graphics and Animation (IJCGA). 2024.
Design of Multi-faceted Robot for Agricultural Purposes
Hariharan Ragothaman
,
Harihar M
Young Scientists' Convention. 2012.
Establishing Design Routines for Efficient Control of Automated Robots
Hariharan Ragothaman
,
Harihar M
,
S.K Guhananthan
Young Scientists' Convention. 2012.
Efficient Memory Usage in Humanoids
Hariharan Ragothaman
,
Sneha Prasad
Young Scientists' Convention. 2011.
Memberships
2025
Fellow, Soft Computing Research Society
2025
Associate Member, AI2030
2025
Early Adopter, AI Frontier Network
2024
Member, ACM, Association for Computing Machinery
2024
Senior Member, ISA, International Society of Automation
2024
Senior Member, IEEE, Institute of Electrical and Electronics Engineers
Peer-Reviewing & Judging
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2018
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2013
2012
Mentees and Interns
Nov 2024 - present
Karsh STEM Scholar, Yale Summer Research Fellow, BS in CS at Howard University
Jun 2023 - Aug 2023
Bachelor of Arts in Computer Science, Carleton College
May 2019 - Aug 2019
BS in Computer Science, University of Michigan
Articles and Blogs
Aug 9 2023
Template for Backtracking Problems - Part1 (Basics)
Aug 28 2023
Frequent Python Recipes for 2D Matrices
Aug 10 2023
Why do we need to index data? | Database Storage and Retrieval
Mar 28 2021
How to recursively crawl folders using python?
Sep 21 2020
Publisher-Subscriber Model Fundae
Speaking and Press
Feb 26 2025
Technical Speaker | AI Track
Feb 6 2025
Technical Speaker | Data Track
Jan 23 2025
Technical Speaker | Scaling Track
Dec 21 2024
Keynote Speaker | AI Track
Dec 15 2024
Technical Speaker | AI Track
Nov 1 2017
Technical Speaker | Embedded Software Track
Oct 16 2012
Technical Speaker | Robotics Track