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Schedule Interview NowMy name is Anthony V. and I have over 2 years of experience in the tech industry. I specialize in the following technologies: Python, Django, Machine Learning, AI Bot, API Development, etc.. I hold a degree in Bachelor of Computer Science (BCompSc), Master of Computer Science (MSCS). Some of the notable projects I’ve worked on include: Real-Time Data Analytics Platform, E-Commerce Recommendation Engine, Automated Document Processing Pipeline, AI-Powered Energy Consumption Forecasting System. I am based in Fort Worth, United States. I've successfully completed 4 projects while developing at Softaims.
I employ a methodical and structured approach to solution development, prioritizing deep domain understanding before execution. I excel at systems analysis, creating precise technical specifications, and ensuring that the final solution perfectly maps to the complex business logic it is meant to serve.
My tenure at Softaims has reinforced the importance of careful planning and risk mitigation. I am skilled at breaking down massive, ambiguous problems into manageable, iterative development tasks, ensuring consistent progress and predictable delivery schedules.
I strive for clarity and simplicity in both my technical outputs and my communication. I believe that the most powerful solutions are often the simplest ones, and I am committed to finding those elegant answers for our clients.
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Developed a secure analytics platform for processing and visualizing patient care metrics while maintaining HIPAA compliance. -Consolidated data from 12 different systems -Reduced reporting time from weeks to minutes -Implemented role-based access controls
Designed and implemented a personalized product recommendation system to improve customer engagement and increase sales. -Increased average order value by 23% -Improved click-through rate on recommendations by 42% -Created admin dashboard for merchandising team
Built an end-to-end system for processing, categorizing, and extracting key information from legal documents using NLP techniques. -Reduced document processing time by 85% -Achieved 92% accuracy in entity extraction -Implemented searchable database of 200,000+ documents
Developed a machine learning system that predicts energy consumption patterns and optimizes grid resources to reduce costs and prevent outages. -Improved forecasting accuracy by 37% compared to previous methods -Reduced operational costs by approximately $1.2M annually -Created an interactive dashboard for real-time monitoring and alerts
Bachelor of Computer Science (BCompSc) in Computer science
2008-01-01-2012-01-01
Master of Computer Science (MSCS) in Computer science
2012-01-01-2014-01-01