|
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; |