TLDR

• ML Engineer: Harvard CS Master’s Grad (Computational Science and Engineering)
• Polyglot: Fluent in 5+ languages and a world traveler (Italian, Brazilian citizen + US work visa)
• Finance Specialist: Former trader at Bank of America and Goldman Sachs
• Explore my AI/ML and finance-related projects here
• For Recruiters: Resume/CV here
• Are you in the job market?: Yes! Hit me up for roles with product impact that require AI expertise and a restless, positive, can-do personality. Eager to find out and join early stage AI startups. Reach out to me at vitoria@vitorialima.com

Welcome: Benvenuto (Italian), Bienvenido (Spanish), Bem-vindo (Portuguese), Willkommen (German), Welcome (English), Добро пожаловать (Russian)

I am a multi-sector specialist with a Master’s in Computational Science and Engineering from Harvard University. As an ERP fellow, I specialized in data science methods and machine learning, culminating in a research fellowship at the Microrobotics Lab. There, I accelerated the training of reinforcement learning algorithms for soft robotic arms, advised by esteemed professors Robert Wood and Daniel Bruder. My academic journey also includes a Bachelor’s degree in Economics from Freie Universität Berlin, where I excelled in quantitative analysis and received the Best Thesis Award from the German Central Bank for my work on PCA applied to the European term structure.

In the finance sector, I have a wealth of experience as a Trading Analyst at Bank of America Merrill Lynch, specializing in European Government Bonds and macro products. My contributions in tech include pioneering deep learning research at Hyundai ~Motional’s R&D, advancing self-driving car technology. Most recently, I served as a Machine Learning Engineer at Weights and Biases, where I guided enterprise customers such as OpenAI, NVIDIA, and Microsoft in optimizing their machine learning experiments, ensuring their success and contract renewals.

What excites me in AI right now:

• State Space Models: Innovations with S4, Mamba, and similar frameworks
• Deep Learning Efficiency: Pioneering mathematical methods to enhance and expedite deep learning processes, like unsloth

About Me

Fluent in five languages (Italian, Spanish, Portuguese, German, English) and currently learning Russian, I have lived in six countries. As a first-generation student, I am dedicated to supporting others from similar backgrounds. Outside of my professional endeavors, I am an avid surfer and longboarder, always seeking new adventures.

Finance and Banking

Before venturing into machine learning, I was an interest rates trader for European government bonds at Bank of America and Goldman Sachs. My Bachelor’s thesis, which applied PCA to the European term structure, received the Best Thesis Award from the German Central Bank. This solid foundation in finance complements my current AI and ML projects, driving innovation and excellence in all my work.