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Seeking Full-Time Position | AI & Data Science | R&D AI Engineer | Cloud & ML Developer | AI Agents & Automation | AI Applications | Healthcare AI | LLMs & RAG | Data Engineering | Web3D & Generative AI
I build AI systems that medical students can train on (no real humans harmed in the process). Currently an R&D AI Engineer at ASTEC Health Sciences, where I work on patient simulations, LLMs, and the kind of ML pipelines that actually make it to production. Before this, I did research in healthcare ML, predicting labor onset, segmenting carpal tunnel anatomy from ultrasounds, the fun stuff. Also spent time at TCS building enterprise integrations, which taught me that "it works on my machine" is never a valid excuse. MS in Data Science from University of Arizona. Always happy to chat about healthcare AI, ML engineering, or why debugging production at 2am builds character.
University of Arizona
Master of Science - MS, Data Science
January 1, 2023 – January 1, 2025
Rajagiri School of Engineering & Technology
Bachelor of Technology - BTech, Computer Science
January 1, 2017 – January 1, 2021
University of Arizona Health Sciences
Research And Development Engineer
March 1, 2025 – Present
Tucson, Arizona, United States · On-site
University of Arizona
Graduate Research Assistant, ICDI
August 1, 2024 – December 1, 2024
University of Arizona
AI Engineering Intern, ASTEC
August 1, 2024 – March 1, 2025
University of Arizona
Lab Manager, AI Core, Department of Artificial Intelligence, ICDI
May 1, 2024 – August 1, 2024
Biosphere 2
Graduate Student (Big Data Engineer)
February 1, 2024 – May 1, 2024
Arizona, United States · On-site
The University of Arizona College of Nursing
Graduate Student (Data Scientist)
May 1, 2023 – October 1, 2023
University of Arizona College of Medicine – Tucson
Graduate Student (Data Scientist)
February 1, 2023 – September 1, 2023
Tucson, Arizona, United States · On-site
Tata Consultancy Services
EAS Oracle Integration Cloud Developer
July 1, 2021 – January 1, 2023
Bangalore Urban, Karnataka, India
Machine Learning offered by Stanford University
Coursera
June 24, 2026 – Present
Cyber@ANZ Program
ANZ
June 24, 2026 – Present
Neural Networks Using MATLAB
Rajagiri School of Engineering & Technology
June 24, 2026 – Present
High Performance Computing
Rajagiri School of Engineering & Technology
June 24, 2026 – Present
Learn Python Programming Masterclass
Udemy
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, ranging from healthcare AI simulations to environmental data engineering and enterprise integration, indicates a broad interest and adaptability. Their involvement in academic research and leadership roles suggests a proactive and collaborative approach. The consistent focus on AI/ML, particularly in applied settings, aligns well with an innovative and impact-driven culture. The experience with both academic and industry settings (Tata Consultancy Services) shows versatility.
Soft Skills & Operational Fit
The candidate demonstrates strong project management, team leadership, and mentoring skills through their roles as Lab Manager and Research and Development Engineer. Their experience coordinating intensive programs and presenting findings suggests good communication and public speaking abilities. The agile methodologies mentioned indicate adaptability and structured problem-solving. The focus on healthcare AI projects aligns well with roles requiring impactful, real-world applications.