We can organize an interview with Aldin or any of our 25,000 available candidates within 48 hours. How would you like to proceed?
Schedule Interview NowMy name is Jose P. and I have over 2 years of experience in the tech industry. I specialize in the following technologies: Data Analytics, Python, Data Science, Machine Learning, Docker, etc.. I hold a degree in Bachelor of Science (BS), Bachelor of Science (BS), Master's degree. Some of the notable projects I’ve worked on include: Computer vision: auto-tooling for the game Cookie Clicker, Minerva Hydraulics™, Natural Language to SQL Agent, Advanced drilling analytics, Web app with Machine Learning and Generative AI. I am based in Calgary, Canada. I've successfully completed 5 projects while developing at Softaims.
I approach every technical challenge with a mindset geared toward engineering excellence and robust solution architecture. I thrive on translating complex business requirements into elegant, efficient, and maintainable outputs. My expertise lies in diagnosing and optimizing system performance, ensuring that the deliverables are fast, reliable, and future-proof.
The core of my work involves adopting best practices and a disciplined methodology, focusing on meticulous planning and thorough verification. I believe that sustainable solution development requires discipline and a deep commitment to quality from inception to deployment. At Softaims, I leverage these skills daily to build resilient systems that stand the test of time.
I am dedicated to making a tangible difference in client success. I prioritize clear communication and transparency throughout the development lifecycle to ensure every deliverable exceeds expectations.
Main technologies
2 years
1 Year
1 Year
1 Year
Potentially possible
IBM Canada
The game Cookie Clicker has special random bonuses that you can only click if you're actively engaged with what's going on on-screen. I built a computer vision pipeline to handle that for me. This is a modern computer vision application that translates very well to industry and production-grade detectors.
I developed an agent that translates natural language into SQL. This project was created for a client in 2025, and we submitted our solution to a challenging Natural Language to SQL benchmark. At the time of submission, our approach ranked second, trailing only behind a similar solution that utilized a more advanced LLM as the backend (GPT-4o vs o1). The example shown in the screenshot demonstrates the agent working with the public Chinook test database. Connect the agent to the database, provide a text prompt, and it takes care of the rest.
Bachelor of Science (BS) in Computer science
2002-01-01-2006-01-01
Bachelor of Science (BS) in Physics
2010-01-01-2013-01-01
Master's degree in Data science and Analytics
2022-01-01-2023-01-01