
Per aspera, ad astra
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bloomberg
Data Scientist
June 23, 2026 – Present
ann-icpc2019
June 11, 2024 – September 14, 2024
A fully implemented Artificial Neural Network in C++ with no external libraries for the ICPC Challenge 2019.
View Projectnvim-cp
January 31, 2024 – March 5, 2024
My configuration files for nvim for competitive programming. (With default support for C++, LaTeX writing, Python, and JavaScript)
View Projectpowerline
March 26, 2022 – June 27, 2022
😁 Get professional psychological help anonymously.
View Projectcudatrix
February 10, 2022 – April 16, 2022
A library for scalar and matrix operations with CUDA
View Projectillness-api
January 15, 2022 – January 16, 2022
An API that uses NLP and AI to let you predict possible diseases and symptoms based on a prompt of what you're feeling.
View Projectdetabase-crud-fastapi
December 14, 2021 – December 14, 2021
FastAPI CRUD template using Deta Base
View Projectarrayfuncs
November 28, 2021 – November 28, 2021
A kinda useless C++ clone of NumPy I made because I was bored
View Projectestudia-api
November 16, 2021 – November 22, 2021
A dockerized question generation API that generates FAQs based on text in spanish.
View Projectneuralnet-manim
September 8, 2021 – September 8, 2021
Visualize neural networks with Manim
View Projectdo-it-in-keras
March 23, 2021 – November 1, 2021
Modern Deep Learning architectures and tasks implemented in Keras.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and demonstrate a strong interest in AI/ML and competitive programming. The target role is 'Data Scientist' at Bloomberg, which aligns with the technical skills shown. However, the candidate's listed experience shows a current role as 'Data Scientist' at Bloomberg starting in 2026, which is in the future, making it difficult to assess current cultural fit or professional experience. The projects are diverse in their technical scope within AI/ML, indicating a broad interest.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are concise but do not provide insight into collaboration, problem-solving approach, or communication style.