AItinerary (Preview)
Projects
Gesture Control Apple TV
Real-time hand gesture control using MediaPipe and OpenCV, integrated with pyatv for mapping remote actions via Wi-Fi (play/pause, navigate, select, etc).
Comp Vision
Data Pipeline
N-Queens Playground
Interactive visualizer for the N-Queens problem with backtracking and heuristics, exploring different algorithms and performance trade-offs.
Algorithms
Visualizer
Coqui AI Voice Clone GUI
Desktop GUI for voice cloning with Coqui XTTS-V2, supporting dataset upload, TTS, translation, Hugging Face models, and multilingual audio playback.
Voice AI
TTS
Protein Contact Prediction
Framework and Colab tool to evaluate protein contact predictions from ESM-2 models against MSAs, with visual maps and precision/recall metrics.
LLMBio
Experience & Education
Experience
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May 2025 – PresentInstructor — AI & MLInternal Drive Inc, College Park, MD
- Delivered project-based instruction on Python, ML, and prompt engineering using OpenAI API, Keras, NumPy, and Pandas.
- Designed and led labs in computer vision, NLP, and text/audio generation with Neural Networks and TTS/STT APIs.
- Mentored student teams through full ML pipelines: preprocessing → model development → API integration → debugging.
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Apr 2023 – PresentResearch Assistant — Multimodal PerceptionIntelligent Sensing Laboratory, University of Maryland
- Developed and benchmarked models for underwater monocular metric depth estimation using synthetic RGB data.
- Led experiments on simulating synthetic and collecting real-world underwater RGB-D and acoustic sonar datasets.
- Presented weekly progress and co-authored publications with Prof. Christopher Metzler on multimodal AUV perception pipelines.
Education
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Aug 2024 – May 2025M.S. in Computer ScienceUniversity of Maryland, College Park — GPA: 3.83 / 4.00
- Master’s Paper: Underwater Monocular Metric Depth Estimation: Benchmarks and Fine-Tuning [arXiv].
- Graduate Research focus in Multimodal Foundational Models.
- Relevant Coursework: Deep Learning Systems, Advanced Computer Graphics, Computational Imaging, Computational Biology
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Aug 2020 – May 2024B.S. in Computer Science (Machine Learning)University of Maryland, College Park — GPA: 3.70 / 4.00
- Minor in Mathematics (GPA: 3.72)
- Dean’s List (multiple semesters).
- Undergraduate Teaching Assistant for CMSC351 (Algorithms).
- Relevant Coursework: Object-Oriented Programming, Operating Systems, Networks, Databases, AI, Machine Learning, Computer Vision, NLP, Data Science, Algorithms, Data Structures, Parallel Computing, Applied Probability, Linear Algebra, Advanced Calculus.
Skills
Machine LearningAdvanced
Systems & OptimizationIntermediate
LLMs & RAGProficient
Web DevelopmentProficient
Data & MLOpsProficient
CloudProficient
Writing & Talks
CCT with FlashAttention + Triton
Optimizing Compact Convolutional Transformers with FlashAttention and fused Triton MLP kernels, reducing memory without accuracy loss.
NeRF Ablations
Ablation study of Neural Radiance Fields across hyperparameters, samplers, dataset size, and resolution, analyzing efficiency vs. quality.
Lensless Real-Time Reconstruction
Benchmarks of lensless camera reconstructions with GD/ADMM and learning-based methods on DiffuserCam, balancing speed and quality.
Contact
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