Work Experience

My professional journey and experiences

Machine Learning Engineering Intern Icon

Machine Learning Engineering Intern

Peraton Labs

Jun 2025 - Present

  • Developed RL agent for IoT malware detection using PyTorch and graph neural networks, reducing exploration latency by 35% and increasing detection coverage by 25% across 500K+ daily device events.
  • Built large-scale data analytics ETL pipelines and heterogeneous graph architecture with autoencoders to model device communication patterns, accelerating policy convergence by 40%.
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Computer Vision Researcher

Memories.ai

Feb 2025 - Aug 2025

  • Architected video memory framework for AR applications processing 10K+ streams using Python, Flask, and PostgreSQL, achieving 60% throughput improvement through frame sampling optimization.
  • Published Python SDK on PyPI with 2K+ downloads, implementing async processing and REST API integration for video analysis workflows.
Undergraduate Robotics Researcher Icon

Undergraduate Robotics Researcher

IDEAS Lab

Mar 2025 - Jun 2025

  • Built real-time SLAM pipeline in C++ and Python with sensor fusion and Kalman filtering, improving 3D reconstruction accuracy by 25% and reducing latency by 30%.
  • Implemented neural radiance fields for novel view synthesis, generating photorealistic scene reconstructions for autonomous navigation.
Data Engineering Intern Icon

Data Engineering Intern

AgRPA

Aug 2024 - Dec 2024

  • Built end-to-end weed detection pipeline processing 200GB+ drone imagery with Python and cloud storage, implementing parallel ETL workflows and optimized data partitioning for 40% faster analysis.
  • Engineered segmentation models achieving 92% accuracy on 50K+ images through agile sprints, reducing herbicide usage by 60% and costs by $150K annually.
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ML Science & Engineering Apprenticeship

Naval Research Laboratory

Jun 2023 - Aug 2023

  • Developed novel ML algorithms for underwater acoustics, improving transmission loss prediction accuracy by 20% over physics-based simulations.
  • Built LangChain RAG system for classified document retrieval, reducing query time by 65%.