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Skills
PythonPytorchTensorFlowNumPyOpenSearchMLFlowRayPandasOpenCVC++MATLABDockerKubernetesVersion ControlHigh-Performance Computing
Experience
Algorithms and AI Solutions Analyst
Toyon Research Corporation
June 2024 - Present
- Developed a retrieval-augmented generation pipeline for question-answering, leveraging vector databases and LLMs.
- Engineered custom classes to enhance retrieval, including hybrid retrieval methods, and document splitters.
- Focused on precision, recall, and faithfulness metrics, creating visualizations to display pipeline performance.
- Enabled autoscaling and modular model training by deploying on Kubernetes and using Ray for distributed job orchestration, allowing scalable access to larger GPUs and LLM resources.
Graduate Research Assistant
Computational Imaging Systems Lab @ Boston University
Sept 2023 - May 2024
- Used deep learning to classify whole-slide images of brain pathology into CTE severity cases.
- Implemented a custom image augmentation framework to improve self-supervised feature extraction.
- Applied dimensionality reduction on image extracted features to visualize feature quality.
Undergraduate Research Assistant
Red Hat Collaboratory @ Boston University
Jan 2023 - May 2023
- Presented research results at weekly meetings as well as final results to Red Hat leadership.
- Investigated a time series specific generative adversarial network for generating synthetic telemetry data.
- Optimized model hyperparameters to produce synthetic data with similar statistical distribution as real data while combating mode collapse.
- Accounted for user privacy utilizing TensorFlow's differential privacy library.
- Used a Jupyter notebook to preprocess telemetry data from sparse Excel data using Pandas and performed data manipulation to create a more complete dataset.
Evaluation and Test Engineering Intern
GE Aerospace
May 2022 - Aug 2022
- Presented an engine testing review to GE leadership before engine entered testing phase.
- Prepared LEAP-1B engines for testing to execute on engine mission goals.
- Coordinated team meetings between engineers to plan timelines and engine deliverables for engine certification.
- Fabricated a Gantt chart for an assembly, inspection, and testing timeline for an engine.
Education
Boston University
Master of Computer Engineering
Sept 2023 - May 2024
- GPA: 3.95/4.00
Bachelor of Mechanical Engineering
Sept 2019 - May 2023
- GPA: 3.51/4.00