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Schedule Interview NowMy name is Marcelo H L. and I have over 5 years of experience in the tech industry. I specialize in the following technologies: Python, LangChain, ChatGPT API, LLM Prompt Engineering, Deep Learning, etc.. I hold a degree in Other, Other, Engineer's degree. Some of the notable projects I've worked on include: Document Similarity Analysis, LLM - Document Query, HyperOptimization, NFT ChatBot, LSTM Time Series Forecast Prediction, etc.. I am based in Ciudad Autonoma de Buenos Aires, Argentina. I've successfully completed 14 projects while developing at Softaims.
I'm committed to continuous learning, always striving to stay current with the latest industry trends and technical methodologies. My work is driven by a genuine passion for solving complex, real-world challenges through creative and highly effective solutions. Through close collaboration with cross-functional teams, I've consistently helped businesses optimize critical processes, significantly improve user experiences, and build robust, scalable systems designed to last.
My professional philosophy is truly holistic: the goal isn't just to execute a task, but to deeply understand the project's broader business context. I place a high priority on user-centered design, maintaining rigorous quality standards, and directly achieving business goals—ensuring the solutions I build are technically sound and perfectly aligned with the client's vision. This rigorous approach is a hallmark of the development standards at Softaims.
Ultimately, my focus is on delivering measurable impact. I aim to contribute to impactful projects that directly help organizations grow and thrive in today's highly competitive landscape. I look forward to continuing to drive success for clients as a key professional at Softaims.
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PosicionOnline.com
This project builds a system to analyze and find similarities between documents using the Llama3.1 and nomic-embed-text models. It involves loading document data, preprocessing it, generating text emb
This project involves developing an interactive web application that allows users to query documents retrieved from provided URLs using natural language. The application utilizes the Ollama language m
HyperOptimization: Reward Function Maximization Objective - Optimize a reward function using the Optuna library for hyperparameter tuning, enhancing machine learning model performance. Highlights -
DataMining NFT Data WebScrapping and NLP Telegram Bot for Reporting and Custom Real-Time Alerts
- Regression Problem, Forecast Prediction Multiple Time Series - Deterministic and Probabilistic Output - LSTM NN Keras API
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Engineer's degree in Systems engineering