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Schedule Interview NowMy name is Didier G. and I have over 5 years of experience in the tech industry. I specialize in the following technologies: Machine Learning, Artificial Intelligence, Machine Learning Model, Data Analysis, Data Science, etc.. I hold a degree in Master of Science (MS), Bachelor of Science (BS). Some of the notable projects I've worked on include: TensorFlow Lite SMS SPAM Classifier, Tiny RAG: Lightweight Retrieval-Augmented Generation with TinyLlama, PDF Data Extraction — Workflow Using n8n + Llama Extract + OCR, AI Chatbot - Chef Paul, Production Forecasting for Ice cream Retail Stores, etc.. I am based in Coral Springs, United States. I've successfully completed 6 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
5 years
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Potentially possible
Software Sushi
A compact bidirectional LSTM-based neural network trained on the SMS Spam Collection Dataset. The model is optimized for mobile use with TensorFlow Lite, achieving ~98% validation accuracy while keepi
This project showcases a minimal yet powerful RAG (Retrieval-Augmented Generation) pipeline designed to run on modest hardware using a 1.1B parameter TinyLlama model. Built for efficiency and clarity,
Our team was engaged to design and implement a fully automated PDF data extraction pipeline for a Workers' Compensation insurance company. The client received inbound PDF documents in a wide variety o
Created an AI Chatbot that helps website visitors by providing recipe information. Project includes a backend admin UI for adding RAG data and testing the bot and a chatbot widget for the main websit
Built a complete ML pipeline to forecast ice cream production by flavor based on weather data. Cleaned and merged 5 years of hourly weather with 5 years of sales. Engineered features and trained 79
Master of Science (MS) in Computer science
Bachelor of Science (BS) in Computer science