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Achievement: Pull SharkAchievement: YOLO

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Achievement: Pull SharkAchievement: YOLO

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sofiavelasquezsierra/README.md

💫 About Me:

Engineer and product thinker building at the intersection of wearable hardware, BCI, ML algorithms, and user-facing health products. Currently finishing my M.S. in Biomedical Engineering at Carnegie Mellon, with a B.Eng. in Computer Engineering from McGill.

I've led cross-functional teams shipping wearable devices (Parkinson's tremor exoskeleton, combat triage vest, PT rehab sleeve), built the ML pipelines behind them (BCI decoders, sensor fusion, signal processing), and owned the system architecture connecting sensor data to real product decisions. Currently conducting research at CMU's Chamanzar Lab on non-invasive neural interfaces using virtual ultrasonically sculpted optics.

Looking for: Full-time Technical Product Manager, Systems Engineer, or Product Engineer roles in wearable technology and BCI at companies pushing the boundaries of health sensing and human-computer interaction — available Fall 2026.

Projects:

Domain Project Description Tech Stack Link
🧠 Neuro/BCI Non-invasive Neural Interfaces (Chamanzar Lab, CMU) Research on virtual ultrasonically sculpted optics for non-invasive light delivery and imaging in neural tissue. Ultrasound shapes light trajectories in situ without implanted devices Python MATLAB Lab
🧠 Neuro/BCI SMR BCI Decoder Optimization Offline optimization of sensorimotor rhythm BCI decoders using CSP+LDA and EEGNet. Achieved 90.9% motor imagery classification from 64-channel EEG Python PyTorch SciPy View
🦾 Wearables Parkinson's Exoskeleton Wearable exoskeleton with ML-based tremor detection and suppression. Led 5-person team as Team Captain Python Arduino PyTorch View
🦾 Wearables PT Rehab Sleeve Physical therapy sleeve for post-injury/stroke muscle asymmetry correction with AI-generated exercise suggestions and progress analysis Python ML View
🦾 Wearables IMU Data Harmonization Data harmonization pipeline for IMU biomechanical sensor data across heterogeneous devices and protocols Python SciPy View
🦾 Wearables 🤖 AI/ML Combat Injury Triage Wearable sensing vest with hybrid ML triage scoring system for real-time combat casualty assessment Python ML View
🤖 AI/ML TinyLlama Optimization LLM optimization via PyTorch quantization, mixed-precision, and FPGA-accelerated SoftMax. 8× model size reduction, 20% inference speedup PyTorch Transformers View
🤖 AI/ML Semantic Image Segmentation U-Net and DeepLabV3 segmentation on Oxford-IIIT Pets. 12% improvement in Dice coefficient over baselines PyTorch TensorFlow View
👁️ Computer Vision Feature Matching & Stitching Harris Corner Detection, SIFT feature matching, and RANSAC-based panoramic stitching Python OpenCV View
👁️ Computer Vision Classifiers & Object Detection MNIST digit classification (SVM/Random Forest) and YOLOv5 street scene detection Scikit-Learn YOLOv5 View

🌐 Socials:

LinkedIn email

💻 Tech Stack:

Python C C# C++ TypeScript AWS Azure .Net Django Next JS NodeJS NPM React Three js Matplotlib NumPy Scipy PyTorch scikit-learn Git GitHub Arduino Docker Postman

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