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Samyak Jhaveri
Seeking Software Development/Machine Learning/Quantum Computing/Research Summer 2022 Internship - Software Engineering Ph.D. student at University of California, Irvine
Professional Background
Samyak Jhaveri is currently a final-year Software Engineering PhD candidate at the prestigious University of California, Irvine (UC Irvine). His academic journey has led him to specialize in the increasingly vital field of Artificial Intelligence (AI) as it pertains to Software Engineering, with a particular focus on Agentic Software Engineering for Parallel and Distributed Accelerated Computing Systems. With a strong background in machine learning, high-performance computing (HPC), and compiler technologies, Samyak is poised to make impactful contributions in his future roles as an Applied Scientist or Research Scientist.
Prior to his doctoral studies, Samyak gained valuable experience as an Applied Research Intern at Oracle Health AI, where he demonstrated his innovative prowess by developing domain-specific training pipelines. His work involved applying advanced techniques such as Supervised Fine-Tuning and Reinforcement Learning for Value Regression/Predictable Outcomes (RLVR/GRPO) to create high-performance parallel code. Furthermore, he has designed comprehensive benchmarks and evaluation harnesses to assess the capabilities of large language models (LLMs) and coding agents within HPC environments. Samyak's research workflow encompasses all facets of the AI research process, including hypothesis development, experimental design, data management, training procedures, evaluation, and documentation, ensuring thorough and impactful research outcomes.
With an eye on future opportunities, Samyak is actively seeking positions where LLMs intersect with high-performance computing, compilers, and accelerated computing. He is particularly interested in industries such as finance, health, and energy, where his expertise can be leveraged to drive innovation and efficiency. His status as a STEM OPT candidate grants him three years of work authorization, with availability starting in 2027, making him an attractive prospect for organizations in need of skilled talent in these areas.
Education and Achievements
Samyak's educational background is equally impressive, with both a Master of Science (M.S.) and Doctor of Philosophy (PhD) in Software Engineering from UC Irvine, attesting to his commitment to academic excellence and in-depth study in this complex field. Before pursuing his master's and doctoral studies, he earned a Bachelor of Technology (B.Tech) in Computer Engineering from the esteemed SVKM's Narsee Monjee Institute of Management Studies (NMIMS). His foundational education at Zydus School for Excellence in Vejalpur set the stage for his continued success in the STEM disciplines.
Notably, Samyak has made significant contributions to the field of AI and software engineering through his research. He authored one peer-reviewed paper that was published in "Onward! 2023, ACM SIGPLAN/SPLASH", alongside a notable master's thesis. His thesis, titled "Quantum Computing for Software Engineering: Code Clone Detection and Beyond," introduced a groundbreaking quantum computing algorithm to address code clone detection by modeling it as a graph/subgraph isomorphism problem within the adiabatic quantum computing framework. This innovative work is applicable beyond the realm of software engineering, extending its utility to various domains such as DNA matching, circuit equivalence detection, and drug discovery.
Achievements
Samyak's research endeavors during his time at Oracle Health AI achieved notable success, particularly in the implementation of LLMs aimed at enhancing Clinical SOAP Note Generation. His approach utilized ambient doctor-patient dialogue to streamline clinical documentation, aligning business objectives with a reward modeling system in an integrated reinforcement learning pipeline. During his tenure as a researcher, he constructed a robust GRPO/RLVR loop from the ground up, effectively managing the entire cycle from dataset generation and reward design to training and evaluation. Impressively, Samyak's model achieved a claim-level F1 score improvement of 4.6 points over the baseline, thereby demonstrating his strong capabilities in the AI research space. His first-author preprint of this work, available on arXiv, coupled with a pending patent, showcases both his innovative research and potential to contribute to future AI applications in healthcare.
Samyak's passion for research and dedication to his fields of study are evident in his experience serving in various roles at UC Irvine and beyond. He has collaborated as an external researcher at the Scientific Computing Lab and contributed significantly as a Graduate Teaching Assistant within UC Irvine's Donald Bren School of Information and Computer Sciences. His commitment to knowledge-sharing and mentorship demonstrates his understanding of the importance of fostering new talents in tech and academia.
Overall, Samyak Jhaveri exemplifies the spirit of innovation and dedication essential for current advancements in technology and AI, making him an exceptional candidate for future roles in applied science and research. As he transitions into new opportunities, his extensive background, coupled with his forward-thinking approach, positions him to significantly impact historically under-represented areas such as finance, health, and energy through intelligent computing solutions.
