| const experience = [ | |
| { | |
| id: "phd-research", | |
| position: "PhD Research", | |
| company: "Friedrich-Schiller-Universität Jena", | |
| period: "Nov 2023 – present", | |
| description: [ | |
| "Developed benchmarking tools and datasets to finetune and evaluate LLMs' performance in material science.", | |
| "Created evaluation framework to assess LLMs' chemical reasoning, intuition and knowledge against human experts.", | |
| "Built multi-modal AI benchmarks for scientific data extraction, visual comprehension, and laboratory safety assessment." | |
| ] | |
| }, | |
| { | |
| id: "stability-ai", | |
| position: "AI Research Contractor", | |
| company: "Stability AI", | |
| period: "Nov 2023 – Apr 2024", | |
| description: [ | |
| "Dataset preparation for domain specific LLM for chemistry and benchmarking frontier models on domain specific tasks." | |
| ] | |
| }, | |
| { | |
| id: "qpivolta", | |
| position: "Principal Engineer", | |
| company: "QpiVolta Technologies", | |
| period: "Jun 2022 – Sept 2023", | |
| description: [ | |
| "Led development of a cloud platform for material simulation using geometric deep learning models.", | |
| "Built uncertainty-aware, physics-informed GNN workflows for high-throughput solid-state electrolyte screening." | |
| ] | |
| }, | |
| { | |
| id: "qpiai", | |
| position: "Research Engineer", | |
| company: "QpiAI Technologies", | |
| period: "Jun 2021 – Jun 2022", | |
| description: [ | |
| "Built DeepStream containers and C++ Gstreamer plugins for real-time video analytics; integrated monocular depth estimation models in safety violation detection pipelines.", | |
| "Implemented object detection micro-service for video analytics platform." | |
| ] | |
| } | |
| ]; | |
| export default experience; |