Hey, I am Oscar
I am a systems software engineer focused on distributed machine learning systems, efficient storage/retrieval, and image/video processing. I spend most of my time working with low-level C++ and ML systems - whether it is optimizing Triton/CUDA kernels, building distributed training frameworks, or implementing core ML algorithms from scratch. I am looking to further develop these skills through full-time employment.
Prior to my journey into software engineering through Arduino projects, I worked as a Medical Assistant in healthcare. This experience provided me with a strong foundation in clear communication and collaborative teamwork - skills that I have found translate seamlessly into effective software development.
At the present moment, this page is under construction. Soon, it will track my technical tutorials, art and music! Stay tuned for updates!
Education
Master of Science in Electrical and Computer Engineering
Sep 2022 - Dec 2024New York University
GPA: 3.4 out of 4.0
2022 - 2024
Coursework:
- Discrete Mathematics, Operating Systems, Computer Networking, Computer Architecture, Internet Architecture and Protocols, Data Structures & Algorithms
- Machine Learning, Deep Learning, High Performance Machine Learning, Signal Processing
- Audited: Distributed Systems, Machine Learning Infrastructure, Database Internals
Certifications/Awards:
- Bridge to Tandon (Aug 2022), Merit Scholarship (Sep 2022)
- Amazon Web Services: Solutions Architect (April 2024)
Activities:
- Society for Hispanic Professional Engineers - NYU (2022-2024)
- ColorStack NYC (2022-2024)
Bachelor of Science in Biochemistry
Sep 2016 - June 2021Binghamton University
GPA: 3.0 out of 4.0
2016 - 2021
Research:
- Enzymatics and Protein Biochemstry - Innovation Technologies Complex, Dr. Callahan - (2018-2019)
Activities:
- Piano Society of BU: Event Coordinator, Piano Instructor (2016-2020)
- Volunteer at Lourdes Hospital - Emergency Room (2016-2020)
- Big Brother Big Sister - Twin Cities (2018-2020)
Certifications/Awards:
- Dean's List (2019-2021)
Experience
Machine Learning Engineering Intern
Sep 2024 – Dec 2024Sonara
New York, NY
Sep 2024 – Dec 2024
Responsibilities:
- Architected several scalable AWS-based audio-processing APIs using ECS Fargate, SQS, and Step Functions with Golang.
- Optimized DSP algorithms, including filters, EQ, reverb, and compression, using C++/MATLAB and ffmpeg for real-time audio processing.
- Enhanced computational efficiency and performance to achieve high-quality sound.
Technologies:
Python
Go
Pytorch
ONNX
TensorRT
AWS
Kubernetes
Machine Learning Engineering Intern
Jan 2024 - May 2024Visentra
New York, NY
Jan 2024 - May 2024
Responsibilities:
- Architected an image & video processing pipeline using AWS Lambda, Step Functions, and EventBridge with Golang.
- Implemented a dual-mode video super-resolution system using AWS: (1) AWS Batch with GPU instances for immediate processing, and (2) Amazon SQS with Spot Instances and Kubernetes for cost-effective queued processing.
- Deployed super-resolution and frame-interpolation models on AWS SageMaker under an EKS-managed inference service with ONNX Runtime, scaling requests dynamically via an API-driven workflow that improved throughput by 2.2x.
Technologies:
Python
Go
Pytorch
ONNX
TensorRT
AWS
KubeFlow
WandB
Kubernetes
Docker
Research
Machine Learning Research Intern
May 2024 – Aug 2024Nagoya University, Signal Processing Lab
Nagoya, Japan
May 2024 – Aug 2024
Responsibilities:
- Constructing and optimizing end-to-end precise spatio-temporal video classification models for high-frequency tasks.
- Developed an efficient feature extraction module utilizing simple arithmetic operations for enhanced temporal modeling in video classification tasks, leading to improved model accuracy & reduced computational complexity within action-spotting..
- Engineered a novel dense residual connection-based encoder-decoder architecture for precise temporal event detection, incorporating a classification head for event probability and a displacement head for accurate temporal localization.
Data Science Intern
Feb 2025 – Apr 2025Broad Street
New York, NY
Feb 2025 – Apr 2025
Responsibilities:
- Developed Python-based data pipelines analyzing CDC and social determinants of health data across 3,000+ US counties to identify health disparities and trends in community outcomes
- Created reproducible analytics workflows using pandas and GeoPandas for spatial analysis, building interactive Plotly dashboards to visualize county-level health indicators for stakeholders
C++
Go
Python
CUDA
SQL
PyTorch
AWS
gRPC
Docker
Kubernetes
DynamoDB
Redis
Metal
OpenGL
ffpmeg
ONNX
TensorRT
XLA
MLFlow
Graphics
Multithreaded Ray Tracer- C++
- CUDA
- NVRTC
A multithreaded ray tracer in C++ with advanced material modeling, and efficient data-structures.