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Dustin G. Python, Machine Learning and AI Platforms

My name is Dustin G. and I have over 5 years of experience in the tech industry. I specialize in the following technologies: Data Science, Data Science Consultation, Python, Deep Learning, Machine Learning, etc.. I hold a degree in Bachelor of Arts (BA), Master of Science (MS). Some of the notable projects I’ve worked on include: Civo Navigate Conference Presenter: Rethinking OCR Pipelines, Data Scientist - Yang for New York, AI Consultant at Tribe AI. I am based in Austin, United States. I've successfully completed 3 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

  • Python, Machine Learning and AI Platforms

    5 years

  • Data Science

    3 Years

  • Data Science Consultation

    2 Years

  • Python

    4 Years

Additional skills

  • Data Science
  • Data Science Consultation
  • Python
  • Deep Learning
  • Machine Learning
  • Amazon SageMaker
  • ChatGPT
  • Interview Training
  • Statistical Analysis
  • Statistics
  • Software Architecture
  • Software Architecture & Design
  • Hugging Face
  • LLM Prompt Engineering
  • Modeling

Direct hire

Potentially possible

Previous Company

Amazon

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Experience Highlights

Civo Navigate Conference Presenter: Rethinking OCR Pipelines

Traditional OCR for PDFs uses multiple tools for layout, tables, and text extraction, making it hard to maintain. New multimodal LLMs offer near-perfect recognition, semantic chunking, and low-cost conversion. Models like Gemini 2.0 Flash show strong performance for large-scale document ingestion. While issues like bounding-box precision remain, these advances move us toward high-accuracy, seamless indexing for RAG systems.

Data Scientist - Yang for New York

I worked as a data scientist on the Yang for New York campaign where I modeled the impact of a $200-a-month income benefit at the New York City neighborhood level.

AI Consultant at Tribe AI

"Tribe is the premier network of global AI experts – 300+ machine learning engineers, strategists, and data scientists from leading technical institutions. We help companies unlock the full potential of AI, driving success and innovation like never before."

Education

  • Pomona College

    Bachelor of Arts (BA) in

    2010-01-01-2014-01-01

  • New York University

    Master of Science (MS) in

    2017-01-01-2020-01-01

Languages

  • English
  • Spanish
  • French
  • Chinese

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