Detail-oriented Python Developer with 5+ years of experience in backend development, machine learning, and scalable system design. Proven ability to enhance system efciency, reduce costs, and develop innovative solutions. Expertise in Python frameworks, cloud computing, and API development. Adept at delivering impactful, client-focused results in remote, agile environments.
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Backend Developer
Candelasoft
Oct 2025 - Current(7 months)
Worked asyncronus systems and develop communication systems
Backend Developer/Python Developer
Simetrik
Jan 2025 - Current(1 year 4 months)
As a Backend Developer/Python Developer, I played a crucial role in the fintech sector, applying complex business logic to enhance financial systems. My responsibilities included implementing the hexagon pattern and Command-Query Responsibility Segregation (CQRS) to ensure efficient data handling. I supported hotfixes and bug fixes while managing high-volume data with millions of records. I developed financial code for reconciliations and advanced reconciliations, and worked extensively in the data analysis block and agents, utilizing Python frameworks such as Django and FastAPI. My experience with Snowflake and RDS involved executing SQL queries to manage and analyze vast datasets effectively. I leveraged big data techniques to optimize, r
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Research Assistant & Researcher
Pontifcia Universidad Javeriana
Jun 2023 - Dec 2023(7 months)
As a Research Assistant & Researcher, I investigated and constructed polarization measures for social networks, accelerating analysis by 2.3x. I extended algorithms to quantify polarization trends, identifying significant behavioral patterns, and produced insights correlating real-world dynamics with simplified bias-based models. My work involved comprehending structures and cases when dispersion and polarization trends occur, implementing high data structures to simulate real-world cases, and utilizing sentiment analysis to adapt to these scenarios. I deployed advanced algorithms and numerical methods to approximate bias while working with large volumes of data from synthetic and real networks to apply metrics and algorithms for analyzing
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Python Developer & Backend Developer (Consultant)
Online-Sat
Apr 2022 - Dec 2024(2 years 9 months)
As a Python Developer & Backend Developer (Consultant), I developed scalable backend systems employing Python frameworks such as Flask and Django, integrating both SQL and NoSQL databases to enhance data management capabilities. I designed machine learning models that improved consultant matching accuracy by 40% and deployed containerized solutions on Google Cloud Platform (GCP), achieving a 25% reduction in operational costs. My innovations included the deployment of an LLM-powered chatbot, which reduced client response times by 50%. I refactored SQL tables and designed optimal SQL queries for a database containing 1 million records, while also defining MongoDB and crafting efficient NoSQL queries. Utilizing NLP and regex, I extracted CV d
Freelance Developer
Freelancer
Jan 2021 - Dec 2024(4 years)
As a Freelance Developer, I have successfully delivered over 70 projects encompassing backend systems, machine learning pipelines, and full-stack solutions. I architected scalable applications utilizing Docker and GCP serverless technologies, and built data visualization dashboards and predictive models, including a time series weather prediction tool. My experience includes developing complex and big data structures, as well as harnessing hardware acceleration to perform intricate calculations such as Monte Carlo simulations and numerical computations. I have developed backend applications using Flask, Django, and FastAPI. While I have not worked directly with data collection, report generation, or data analysis, my extensive experience in
Education
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BSc in Computer Engineering & Computer
Pontifcia Universidad Javeriana
Jan 2017 - Mar 2022(5 years 3 months)
Projects (professional or personal)
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Electronic waste analizer
May 2025 - Jun 2025(2 months)
As an Electronic Waste Analyzer, my primary responsibility was to collect and classify electronic waste, ensuring proper recycling and disposal methods were followed. I utilized my data analysis skills to assess the types and quantities of waste collected, which informed our recycling strategies. Additionally, I applied my data collection expertise to gather relevant information on electronic waste trends. Although software engineering was not a primary focus, I designed a program as part of a machine learning project to enhance the classification process of electronic waste, improving efficiency and accuracy in our operations. Furthermore, I leveraged cloud platforms to deploy systems that facilitated real-time data access and analysis, th