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Jaime A L. Data Science, Machine Learning and Financial Software

My name is Jaime A L. and I have over 7 years of experience in the tech industry. I specialize in the following technologies: C++, Rust, SQL, NIM, Network Software, etc.. I hold a degree in Other. Some of the notable projects I've worked on include: A Python library to build trader bots, ziggraph, Randomized MAC spoofer, Ensemble methods, RSI Implementation, etc.. I am based in Centereach, United States. I've successfully completed 10 projects while developing at Softaims.

I specialize in architecting and developing scalable, distributed systems that handle high demands and complex information flows. My focus is on building fault-tolerant infrastructure using modern cloud practices and modular patterns. I excel at diagnosing and resolving intricate concurrency and scaling issues across large platforms.

Collaboration is central to my success; I enjoy working with fellow technical experts and product managers to define clear technical roadmaps. This structured approach allows the team at Softaims to consistently deliver high-availability solutions that can easily adapt to exponential growth.

I maintain a proactive approach to security and performance, treating them as integral components of the design process, not as afterthoughts. My ultimate goal is to build the foundational technology that powers client success and innovation.

Main technologies

  • Data Science, Machine Learning and Financial Software

    7 years

  • C++

    5 Years

  • Rust

    4 Years

  • SQL

    6 Years

Additional skills

  • C++
  • Rust
  • SQL
  • NIM
  • Network Software
  • Financial Software
  • Data Science
  • Machine Learning
  • Statistics
  • Performance Optimization
  • C
  • Software Debugging
  • Financial Modeling

Direct hire

Potentially possible

Previous Company

Independent contractor

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Experience Highlights

A Python library to build trader bots

An experimental Python library to implement trading bots. I'm building this library based on patterns I've observed implementing trading algorithms for my clients. It is intended, when it becomes stab

ziggraph

A type to represent graphs, written in Zig

Randomized MAC spoofer

A C program to show how to replace a network device MAC address with random values

Ensemble methods

Case study to predict which customer is more likely to purchase the newly introduced travel package, using machine learning ensemble methods.

RSI Implementation

This notebook shows an implementation for the RSI financial indicator. RSI measures speed and magnitude of price changes to evaluate overvalued or undervalued conditions. As empirical rule, when RSI i

Education

  • The University of Texas at Austin

    Other in Machine Learning & Artificial Intelligence Postgraduate Program

    2022-01-01-2022-01-01

Languages

  • English (Fluent)✓
  • Spanish (Native or Bilingual)