AI Research Engineer with 3+ years in AI/ML & Data Science across Energy, Public Policy & Healthcare
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Data Scientist and Statistics graduate with 3.5 years of experience in AI & ML across energy, public policy, and healthcare domains. Expertise in time series forecasting, building data pipelines, and data analytics, translating complex data into insights for business, research and government stakeholders. Engaged in ongoing research in Generative AI, Bayesian modeling, and Statistical Learning. Skilled in Python, R, SAS, SQL, and ML techniques with exposure in cloud based ML and RAG workflows.
Florida State University
MS · Statistics
August 1, 2024 – June 30, 2026
International Institute for Population Sciences
MSc · Biostatistics and Demography
August 1, 2019 – June 30, 2021
Madras Christian College
BSc · Statistics
August 1, 2016 – June 30, 2019
eHealth Lab, Florida State Universty
LLM Research
May 1, 2025 – May 1, 2026
Tallahassee, Florida, United States
Florida State University
Time Series Researcher
May 1, 2025 – August 1, 2025
Tallahassee, Florida, United States
Florida State University
Data Science Teaching Assistant
August 1, 2024 – May 1, 2026
Tallahassee, Florida, United States
Enverus
Data Science
July 1, 2022 – July 31, 2024
Bengaluru, Karnataka, India
Public Affairs Centre
Associate Data Scientist
January 1, 2021 – June 30, 2022
Bengaluru, Karnataka, India
Generating Question Prompt Lists from EHR Data Using LLMs: An Iterative Evaluation Study
eHealth Lab, Florida State University
June 1, 2026 – Present
2 URTeC papers on Generative AI & applications for Oil and Gas production forecasting
Enverus
June 1, 2026 – Present
systematic review and meta-analysis research on Chronic Kidney Disease Management and Malnutrition interventions
International Institute for Population Sciences, Public Affairs Centre
June 1, 2026 – Present
TOPSIS-based governance framework for PAI 2022
Public Affairs Centre
January 1, 2022 – Present
COVID-19 Response Index for PAI 2021
Public Affairs Centre
January 1, 2021 – Present
Cultural Fit Analysis
The candidate's background spans academic research, public policy, and industry, indicating a versatile and adaptable individual. Their involvement in projects with social impact (COVID-19 Response Index, HDI/MPI models) suggests a commitment to meaningful work. The continuous pursuit of higher education and research roles aligns well with a culture of continuous learning and innovation, which is crucial for an AI Research Engineer role. The breadth of skills and exposure to different domains (healthcare, energy, public policy) suggests a candidate who can thrive in diverse team environments and contribute to varied projects.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical and problem-solving skills through their research and project work. Their experience as a Teaching Assistant suggests good communication and instructional abilities. The diverse project portfolio indicates adaptability and a proactive approach to learning and applying new techniques. The candidate's involvement in co-authoring papers and presenting findings points to strong collaboration and presentation skills.