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Schedule Interview NowMy name is Michael L. and I have over 0 years of experience in the tech industry. I specialize in the following technologies: Python, Machine Learning, Deep Learning, Artificial Intelligence, Natural Language Processing, etc.. I hold a degree in Bachelor of Architecture (BArch). Some of the notable projects I've worked on include: AI-Powered Retail Support & Sales Chatbot for NutraBio, Fraud Detection Model for FinTech, AI Recruitment Screening & Interview Automation Platform, Intelligent Document Processing for Contracts & Invoices, Predictive Sales Forecasting System for E-Commerce. I am based in Poplarville, United States. I've successfully completed 5 projects while developing at Softaims.
I thrive on project diversity, possessing the adaptability to seamlessly transition between different technical stacks, industries, and team structures. This wide-ranging experience allows me to bring unique perspectives and proven solutions from one domain to another, significantly enhancing the problem-solving process.
I quickly become proficient in new technologies as required, focusing on delivering immediate, high-quality value. At Softaims, I leverage this adaptability to ensure project continuity and success, regardless of the evolving technical landscape.
My work philosophy centers on being a resilient and resourceful team member. I prioritize finding pragmatic, scalable solutions that not only meet the current needs but also provide a flexible foundation for future development and changes.
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Designed and deployed a GPT + RAG–based chatbot for NutraBio, a U.S. DTC supplement brand, to streamline customer support and boost sales. The bot automated FAQs, integrated with Shopify to handle ord
Developed a machine learning model to detect and flag fraudulent financial transactions in real-time using anomaly detection and predictive modeling. Built a scalable data pipeline and integrated MLOp
Designed and delivered a recruitment platform that leverages NLP and machine learning to automate resume screening and candidate ranking against job descriptions. Implemented an AI-driven conversation
Developed an end-to-end AI pipeline for processing scanned contracts and invoices. Implemented OCR to extract structured data, NLP for classification and summarization, and workflow automation for val
Built a predictive analytics engine for an e-commerce business to forecast sales and optimize inventory. Leveraging historical sales and seasonal demand patterns, I integrated time-series forecasting
Bachelor of Architecture (BArch) in Business
2011-01-01-2015-01-01