Experience

Research, Internship and Professional Experience

Academic degrees are separated into the Education page. This page focuses on research appointments, internships, and professional work.

Summer 2021–Summer 2025
  • Investigated computational models stronger than Turing Machines for computable real functions.
  • Compared theoretical parallel models with analog models such as GPAC.
  • Studied computability and complexity of real numbers and functions.
  • Investigated real-function computability using Oracle Pointer Machines.
  • Explored learning-rate optimization effects on meta-learning models.
Fall 2024–Present
  • Investigating clustering approaches in magnetocaloric materials.
  • Studying machine learning algorithms in magnetocalorimetry.
  • Developing reliable ML practices for magnetocalorimetry.
  • Creating accessible visualizations and presentations for research findings.
Sep 1–Sep 30, 2024
  • Developed AI/ML models for research.
  • Unveiled patterns in magnetocaloric response.
  • Analyzed chemical composition and magnetocaloric response.
  • Explored material compositions and temperatures.
  • Identified promising magnetocaloric materials.
Sep 2024–Jan 2025; May 2025–Jan 2026; May–Jul 2026
  • Collected and managed spatial/non-spatial environmental datasets.
  • Designed and validated supervised/unsupervised models.
  • Developed software applications for agronomic and geospatial problems.
  • Analyzed Landsat-8/9 imagery and Digital Elevation Models.
  • Integrated NASA Weather API, soil surveys, and water sensor data.
  • Collaborated with agronomists, soil scientists, and remote-sensing specialists.
May 16–Aug 25, 2024
  • Validated environmental data models.
  • Applied supervised and unsupervised learning.
  • Designed and maintained data science software applications.
  • Managed large environmental/geospatial databases.
  • Produced reports and visualizations.
  • Led independent project components within cross-functional teams.
Spring 2018–Summer 2020
  • Developed meta-heuristic framework for RSMT problems.
  • Studied meta-heuristics in VLSI global routing.
  • Implemented PIO and GPSO for approximate RSMT solutions.
  • Developed Extended Nucleic Acid Memory.
  • Constructed Varibox encryption/decryption algorithm.
  • Contributed to EMBA authentication survey.