I am an accomplished Senior Biomedical Engineer and Engineering Manager with over a decade of experience in the research and development of medical devices, particularly focusing on real-time PCR technologies. During my career at Biomeme, I have lead cross-functional teams in developing cutting-edge Class 2 medical devices, securing high-value contracts, and advancing innovative biotechnology platforms, including those used for clinical trials and FDA submissions.
Throughout my career, I have demonstrated a deep fascination with automation, machine learning, and data analysis, which I have successfully applied to improve biomedical technologies. My technical expertise includes developing machine learning algorithms for diagnostic accuracy and creating automated data analysis tools that streamline experimental outcomes. I am particularly skilled in Python programming for task automation, data visualization, and statistical analysis.
My strong interest in automated software engineering solutions, along with my ability to manage complex R&D projects, has driven my recent focus on transitioning my career toward software engineering, data analysis, and machine learning. I am looking to apply these skills in scientific fields, particularly in biology and biomedical applications, where my expertise in automation and data-driven solutions can further innovation.
With a passion for integrating engineering solutions with biology, I am poised to leverage my experience in both biomedical engineering and advanced software development to drive impactful contributions in machine learning, software engineering, or data analysis, focusing on improving scientific research and healthcare outcomes.
React
Next.js
TypeScript
Tailwind CSS
Python
FastAPI
Flask
Django
Node.js
PostgreSQL
MySQL
MongoDB
Firebase
TensorFlow
PyTorch
Scikit-learn
Docker
Kubernetes
Atlassian
Git
AWS
A personal portfolio showcasing my skills in software development and machine learning.
Technologies: React, Next.js, FastAPI, Docker, Kubernetes
Setting up a local Kubernetes cluster for development and testing.
Technologies: Kubernetes, Docker
A reinforcment learning model for playing a bingo style minigame.
Technologies: Python, PyTorch
A model for predicting the distance matrix of a protein from its sequence.
Technologies: Python, PyTorch, Biopython, GNNs
A U-net model for converting dotted-line stencils images to solid-line images.
Technologies: Python, PyTorch
Biomeme
Jan 2022 - Present
Drive research and development initiatives as Engineering R&D Manager, focusing on experiment design, data analysis, and automation tool development. Collaborate with software teams to ensure adherence to coding standards and release processes, including source control, unit testing, and code reviews. Mentor and manage highly skilled team, fostering environment of learning and multidisciplinary engagement. Prepare detailed reports and documentation of experimental procedures, results, and technical specifications to assist in development and refinement of biomedical products.
Key Accomplishments:
Biomeme
Jul 2017 - Jan 2022
Designed and developed medical devices and technologies to enhance patient care and diagnostics, adhering to safety and regulatory standards. Collaborated with healthcare professionals to assess needs, optimize device functionality, and deliver technical support and training. Conducted research to advance medical technology and evaluated devices to ensure adherence to performance and safety standards prior to deployment. Managed maintenance, calibration, and repair of biomedical equipment, ensuring precise performance and reliability in clinical settings.
Key Accomplishments:
Biomeme
Sept 2014 - Jul 2017
Assisted in design, development, and testing of biomedical equipment and technologies, supporting senior engineers in project execution. Conducted research and analyzed data to contribute to improvement of medical devices and systems, ensuring they meet clinical and safety standards. Supported maintenance and calibration of biomedical equipment, troubleshooting issues and performing routine repairs as needed. Collaborated with medical staff and engineering teams to gather requirements, provide technical assistance, and ensure effective implementation of biomedical solutions.