Mark's Site

Education

Bachelor of Science in Computer Science, Minor in Mathematics; GPA: 3.517 | Sep. 2023 – Jun. 2027

Coursework focused on neural networks and their applicability in gen-AI and LLMs | Jan. 2024 – Mar. 2024

AI/ML Software Engineer | Jun. 2024 - Sep. 2024

Model Optimization: Wrote and perfected DFS and DP algorithms to optimize bottlenecks. Achieved an average decrease of 27% in peak memory usage through node-splitting and layer execution order optimizations.
Estimation Tools: Created internal bash and python scripts that streamlined model estimation, saving ̃36 dev hours per quarter by increasing productivity and flexibility within workflow.
CV Model Conversion: Worked on updating and converting legacy implementations of various multimodal computer vision models such as BEVFormer, MMDet3D, and MMCV.
ML Frameworks: Gained industry experience working with common ML libraries like TensorFlow and PyTorch, and exchange mediums like ONNX.
Collaboration: Actively participated in code reviews and team meetings, contributing to the continuous improvement of internal tools and processes.

Shift-lead/Head Chef | Aug. 2021 - Jun. 2023

Shift-Lead: Started as a server, eventually took on managerial duties like QA and floor. Mentored and trained fellow servers. Led flow of service, instructing servers on orders, running, bussing, etc.
Head-Chef: Curiosity about cooking/prep process led to technical training. Worked up to head chef/kitchen leader. As leader, ran kitchen and helped conceive and institute practices increasing productivity and efficiency.
Administration & Oversight: Led closing and opening of restaurant, collecting data at the end of shifts.

Next.js web app: Developed and deployed a fully built NextJS blog/personal site using Next’s underlying React functionalities, TypeScript, and Node.
Frontend: Gained experience with state management, dynamic routing, and responsive design. Used modern TS techniques and leveraged React for dynamic, component-based UI
API & Rendering: Built API routes to fetch and style Markdown content, added category filtering, and optimized performance with SSG/SSR for better SEO.

Django web app: Developed and deployed a Django project that utilized Python’s open-cv and Google’s Tesseract to analyze invoices and paper bills, creating calendar notifications and digital summaries.
ML & CV: Applied preprocessing techniques like resizing, thresholding, and denoising to enhance image quality for text extraction, integrating with advanced CV libraries and OCR engines for effective file parsing.
Authentication & APIs: Utilized various Google APIs including Google OAuth to allow users to securely sign in and create calendar events. Created Django middleware to handle permissions and access.

Machine Learning: Prototyped with Jupyter Notebooks, and mastered ML tools like Pandas, NumPy, and scikit-learn, applying them to public movie dataset modeling.
AWS: Integrated cloud functionality through the utilization of AWS. Learned about boto3 and s3 buckets.
Project Structure: Took prototyped code and instituted development best practices to create a working project. Separated code into multiple files and modules, making project accessible and readable.