CV

PhD in Physics

• Dissertation: Machine Learning and ab initio insights into the design of lithium-based materials
• Developed neural network potentials for materials discovery using PyTorch and C
• Published first-author research in npj Computational Materials (Nature Partner Journal) and PCCP

Bachelor of Science in Physics

• Minor in Computer Science and Mathematics
• Merit-based tuition scholarship recipient

ML Research Engineer (Research Scientist)

• Winner of the IEEE Radar Challenge: Developed a Transformer-based pipeline for heart rate estimation, achieving a 65% improvement over the baseline
• Utilizing ML approaches for radar signal processing and target detection
• Building simulation frameworks for coverage analysis of mono- and multistatic radar systems

Physics AI Model Validation Expert

• Designing complex reasoning problems to stress-test AI models’ understanding of physics and logic
• Evaluating model responses and providing structured pedagogical feedback to improve reasoning capabilities

PhD Candidate (Research Engineering)

• ML-Accelerated Discovery & High-Throughput Pipelines
  • Built end-to-end pipelines scaling evolutionary search + ML potentials to 1M+ structures and 1TB of data
  • Managed large-scale HPC campaigns with reproducible run tooling, logging, and structured outputs
  • Identified 8 new stable structures redefining Li-Sn convex hulls
• Systems & Software Development
  • Implemented an NPT barostat module in C for the MAISE software package; optimized performance-critical paths
  • Administered two university-wide HPC Linux clusters (1,000+ cores); configured GPU nodes and job schedulers
  • {“Installed and maintained the full scientific stack”=>”CUDA, PyTorch, JAX, VASP, and Intel/GNU compilers”}

Founding Member, Data Science / ML

• Build ETL pipelines to ingest exchange data using Python, SQLAlchemy, and SQL; implement cleaning in pandas
• Develop anomaly detection and trend prediction on financial time-series using XGBoost and feature engineering

Back-end Developer

• Developed Python middle layer interfacing SQL databases and ElasticSearch
• Deployed and maintained reporting services on AWS Linux instances with live patching

Co-Founder (Conceptual Design & Content)

• Co-founded an online platform providing Khan Academy-style video lectures and interactive exercises for national entrance exams
• Designed the technical architecture for the content delivery system and drafted specifications for automated student assessment
• Conceptualized logic for automated difficulty progression and structured data schemas for math/reasoning evaluations
• Authored and produced video lectures covering core STEM topics for the Georgian national curriculum

Head Teaching Assistant - Physics

• Led lab sessions for introductory physics; earned 85% positive feedback
• Mentored and onboarded new TAs; created supplementary solution guides and review worksheets

Physics Olympiad Coach

• Coached students for international competitions; led the team to the 2016 International Zhautykov Olympiad
• Team awarded silver medals in both physics and mathematics

• Winner, IEEE Radar Challenge
• Handshake AI Fellow, Handshake MOVE Program

• Bronze Medal, 43rd International Physics Olympiad (Tallinn, Estonia)
• Bronze Medal, 8th International Zhautykov Olympiad (Almaty, Kazakhstan)