add presentations

README.md

@@ -10,7 +10,7 @@ Capstone Thesis: “_Evaluation of Deep Eutectic solvents as extraction media fo
 
 ## Experience
 
-### Graduate Research Assistant
+### Graduate Research Assistant | University of Vermont
 
 - Led research efforts in applying machine learning methods to simulate solid material properties using neural network potentials (NNPs), leading to a 100x reduction in the prediction time of desired material properties.
 - Applied advanced Graph Convolutional Neural Networks (GCNs) expertise to revolutionize computational chemistry, driving automated data distillation processes for efficient data handling and annotation reduction.
@@ -21,11 +21,27 @@ Capstone Thesis: “_Evaluation of Deep Eutectic solvents as extraction media fo
 
 - Designed and implemented automated methodologies to generate and process high-quality datasets from unstructured data on state-of-the-art high-performance computing resources, reducing the time to generate datasets for material property prediction by 75 %.
 
+## Machine Learning Engineer | Engineers for Ukraine
+
+- Implemented automated distillation techniques in computer vision workflows, reducing the need for manual data annotation and streamlining the data preprocessing pipeline.
+- Designed and developed ML models to classify logos and insignias in user-uploaded images, increasing the speed at which accurate information about Russian soldiers/equipment in the area passes from local civilians on the ground to Ukrainian soldiers.
+
+## Veteran Contributor | Lightning AI
+
+- Served as a veteran contributor to PyTorch Lightning with 8 merged PRs deprecating functions/properties and setting up automated tests for the next release version.
+- Developed a feature to allow the evaluation of gradients in inference mode, preventing the copying of tensors, resulting in a 10% increase in inference speed.
 
 ## Projects
 
 ## Presentations
 
+
+- "_VSCF and VCI Analysis of the Anharmonic Coupling of Stretching Vibrations in Ice XI_", Champlain Area Chemistry Symposium, October 2022
+
+- "_LightningANI: A Scalable Template for Building End-to-End Neural Network Potential Applications for Accelerated Material Property Prediction_", Northern New England Materials Research Conference, September 2022, Poster Presentation
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+- "_VSCF and VCI Analysis of the Anharmonic Coupling of Stretching Vibrations in Ice XI_", ACS Fall Meeting, August 2022  
+
 -  “_Anharmonicity of Ice-XI with the VSCF and VCI Models_”, UVM Student Research Conference 2020, Poster Presentation