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A recognized researcher and mentor, fostering innovation and interdisciplinary collaboration: Gokul Krishnaswamy shares his journey of success and excellence

Notably, his work leveraging LLM architectures, LLaMA and BERT, enabled the extraction of biomarkers from unstructured clinical text, setting a new industry benchmark in the early identification of genetic epilepsy—an achievement that reflects both technical innovation and public health relevance.

Mr.Gokul Krishnaswamy began his journey in computer science through a strong foundation in engineering and data-driven academics. He holds a Bachelor of Technology in Computer Science Engineering with a GPA of 8.57/10 from Amrita Vishwa Vidyapeetham, India, and a Master of Science in Data Science with a GPA of 3.85/4 from University of Denver, graduating with distinction from the esteemed institutions. This academic excellence laid the groundwork for a career marked by innovation, leadership, and impactful research.

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As a Data Scientist and a member of the Institutional Review Board (IRB) at Cleveland Clinic, a leading U.S. institute for neurological research, Mr.Gokul played a critical role in managing and interpreting research data sourced from EPIC, a leading electronic health record system. He developed web applications and machine learning frameworks to understand biomarkers and model neurological disease progression. Notably, his work leveraging LLM architectures, LLaMA and BERT, enabled the extraction of biomarkers from unstructured clinical text, setting a new industry benchmark in the early identification of genetic epilepsy—an achievement that reflects both technical innovation and public health relevance.

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As a Software Engineer at AT&T, one of the largest telecommunications companies in the U.S., Mr.Gokul demonstrates continually his technical prowess and leadership in software development and infrastructure automation in lab operations. He designed and created applications that has profound impact on AT&T operations particularly in areas related to public safety and national security, using tools like Azure Cloud Platform, mySQL database and Python. Among his key contributions is the development of a specialized software platform for managing radio signal reception inside lab Faraday cages—a critical tool used in network labs to simulate real-world signal strength testing environments, and implementing fault-tolerance application for managing data and assigning resources for SRP (Service Routing Protocol), GPORT, SDS (Subscriber Data Server), HLR (Home Location Register), and  HSS (Home Subscriber Server) including FirstNet, which is essential for emergency responders during crises. These solutions, along with many others that he built at AT&T, underscores his contributions to U.S. technological infrastructure.

Beyond his professional achievements, Mr.Gokul is a recognized researcher and mentor, fostering innovation and interdisciplinary collaboration. He has authored five peer-reviewed research papers in the fields of Evolutionary Computation, Natural Language Processing and Data Analysis, advancing knowledge in unimodal optimization, data mining, and neurological health analytics. His work has pushed academic boundaries while delivering real-world applications.

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Mr.Gokul Krishnaswamy’s career exemplifies technical excellence, visionary thinking, and impactful leadership. His accomplishments have garnered national and international recognition. In recognition of his outstanding professional achievements and contributions to nation building, the Indian Achievers Forum (IAF) proudly honors him with the 2025 Achievers Award.

First published on: Dec 16, 2025 07:01 PM IST


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