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Provide machine learning, computer vision, Python development services and consulting to companies ranging in size from enterprise to small business, across the technology, sports and financial industries.✅ Tech Stack: Python, PyTorch, TensorFlow, Docker, Linux, Git, Jupyter Notebook, NumPy, Pandas, Google Cloud Platform, Bash, C#, Flask✅ Python: Developed the production level Python server-side code base for an investment application of an enterprise financial company based in Hong Kong. I successfully converted the company's optimization and analytics workflows from disconnected and unstable spreadsheet files that took days to process, into clean, efficient and fully automated Python code that processes in just minutes.✅ Deep Learning Computer Vision: Developed a deep learning computer vision system in C# with a TensorFlow PoseNet convolutional neural network and the Unity development platform. The pose estimation model successfully takes any video of human movement and renders an animated skeleton that reproduces the poses in real time. I implemented a custom filtering and optimization technique that allows the user to calibrate the balance between animation smoothing and pose estimation accuracy.✅ Computer Vision: Successfully developed a computer vision machine learning system in Python for a sports organization that could interpret the positions of players from live action hockey game footage to assist with game analytics. My system solved the company’s workflow problems, reducing their turnaround time from manual processes that took several hours to an automated process that only takes minutes.✅ Machine Learning: Successfully developed a machine learning recommendation system in Python for an enterprise technology company that predicts which members of a talent pool will perform the best on various work projects. I delivered an effective yet simple model that outperformed the client’s more complex benchmark models by 61%.

Spearheaded the development and training of state-of-the-art computer vision object detection models for a diverse range of client projects. Developed client-specific computer vision features tailored to deliver unique business intelligence.✅ Tech Stack: Python, PyTorch, TensorFlow, Docker, Linux, Git, Amazon Web Services (AWS), NVIDIA DeepStream, NVIDIA TensorRT, NVIDIA TAO Toolkit, ClearML, InfluxDB✅ Python | Computer Vision | Machine Learning | PyTorch | Docker: Developed a "ride car detection" computer vision system for the world's second-largest theme park operator. Improved ride dispatch and throughput accuracy from 40% to 90%+, facilitating a 500% product expansion from 5 to 30 rides.✅ Python | Computer Vision | Machine Learning | PyTorch: Was the Lead ML/CV Engineer for a key client, delivering innovative parking utilization and detection re-identification computer vision features, which provided valuable intelligence on real estate usage for the client. These solutions resulted in a 350% increase in business, expanding from an initial 2-location pilot to 9 locations.✅ Python | Computer Vision | Machine Learning | PyTorch | Docker: Spearheaded the research and upgraded the company's computer vision object detection models from an older architecture with ~40-50% accuracy to a more advanced architecture achieving 90%+ accuracy.

Consulted individual consumer clients via live video calls to assist them with their self-development goals.✅ Problem Solving | Communicating Effectively: Listened to the clients’ backstories and understood their unique problems to develop actionable solutions that would deliver the results they desired. I consulted a client to leave their dissatisfying prison guard career to start a successful yoga practice that they were truly passionate about.

Day traded equities long and short on my own account.✅ Data Modeling: Built trading models and back tested strategies on 10-year historical price data that improved return on assets by 6.05 percentage points.

One of the Big Four accounting and advisory firms with over 200 employees and enterprise clients such as HSBC and XL Insurance. I provided actuarial analysis and services to over 80 enterprise insurance companies.✅ Predictive Modeling: Analyzed property and casualty insurance loss data and built actuarial loss development models in MS Excel, which provided insurance clients with capitalization ranges that protected them against claims insolvency and ensured compliance with industry regulations.✅ Team Collaboration | Leadership: Managed a team of 3 analysts, oversaw the project pipeline, allocated resources to projects and ensured all deadlines were met on time.✅ Communicating Effectively: Produced actuarial reports that effectively communicated our methodologies and findings to both large insurance clients and regulatory authorities.

Analyst for a venture capital fund and accelerator, where I performed fundamental analyses on potential investee companies in the Web 2.0 space.✅ Data Modeling: Developed financial models of investee companies. I successfully simulated an investee’s complex revenue model and performed scenario analysis that determined the business was infeasible, which informed the managing directors’ decision not to invest.✅ Communicating Effectively: Communicated effectively with investee company management, explained financial models and contributed in strategic planning sessions. I presented management with a clear picture of assumption thresholds and a cost-benefit analysis of key opportunities being considered for the business, which informed management’s strategic decisions.

• Developed financial models and prepared pro forma financial statements for the start-up business, which allowed the owners to perform scenario analyses on the business’ financial position and projections

• Developed spreadsheet models and database systems designed to analyze and produce reports on TDAM’s key operational risks, which reduced the turnaround time of these processes from days to just minutes• Used creativity, resourcefulness and initiative to find efficient solutions to problems, which resulted in projects being completed on time; overcame obstacles without assistance, allowing management to focus on other priorities• Performed qualitative and quantitative analyses on Solar Energy companies; presented work in comprehensive and concise reports, which influenced the Managing Director’s decision to not invest in the sector• Developed and maintained financial models that provided clear and logical estimations of a company’s intrinsic value, which helped determine if the company was over, under or fairly priced

• Developed spreadsheet models designed to analyze the bank’s risk-weighted assets and created PowerPoint presentations that educated the other business units on the Basel II Capital Accord• Constantly worked on several projects simultaneously, requiring the ability to multitask, time-manage and switch priorities at a moment’s notice, which ensured all projects were completed by their respective deadlines

• Controlled the project pipeline, allocating resources and arranging the project queue to satisfy all requirements and constraints, which ensured all projects were completed by their respective deadlines• Led the project launch meetings, addressing all client specifications, which ensured all members of the team were on task and resulted in reduced reworking costs due to clear expectations between the account and production managers• Performed quality assurance revisions on all projects, from launch to completion, ensuring client specifications were adhered to and all errors corrected, which maintained high product quality, customer satisfaction and reduced throughput time

• Led the stage team, delegating roles, tasks and responsibilities, which resulted in a cohesive unit that could effectively perform and react to unexpected changes and ensured the show remained on schedule• Analyzed and balanced budget constraints, union contract terms and peak traffic hours to develop the optimal stage show schedule, which minimized costs but maximized audience turnout• Made crucial on-the-spot decisions and schedule changes under immense pressure, in response to unanticipated events, which resulted in a seamless transition between stage acts and maintained audience interest• Performed similar role from May-July 2005

• Taught mathematics, mainly calculus and linear algebra, to university and secondary-school students, assessing their individual learning needs, identifying the root of their difficulties and communicating the material in a way they could relate to. This resulted in increased student understanding and improved grades