Andres Alejandro Dosil Rivas

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AI Software Developer & Backend Engineer

Macaque Consulting

Mar 2025 - Current (1 year 5 months)

• Collaborated on a market research project for Coca-Cola, automating the data mining phase to monitor and analyze McDonald’s product placement across delivery platforms. • banAIna Solution (Multi-LLM, Security): Collaborated on an enterprise oriented AIaaS platform offering LLM-based tools with strict data governance. • Integrated multi-LLM services (including OpenAI, Gemini, Claude, DeepSeek) for a wide range of functionalities: text, video, audio, code, agents, RAG, voice. • Optimized database queries and migrations in PostgresSQL (SQLAlchemy, Alembic) and vector similarity search (pgvector). • Implemented access controls (RBAC), audit trails and ensured GDPR compliance. • Optimized async task queues (Celery + Redis) for high-throughput

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Machine Learning Engineer

corpora

May 2024 - Sep 2025 (1 year 5 months)

• Implemented a route optimization system for an industrial logistics company using Google OR-Tools, streamlining operations and enhancing decision-making processes. • Researched and applied Computer Vision techniques (e.g., Neural Radiance Fields) to transform 2D images into 3D models using PyTorch. • Collaborated with cross-functional teams, including data scientists and software engineers to deploy Machine Learning models into production, ensuring scalability and maintainability. • Engaged with clients to address their needs, delivered tailored solutions and present results to both technical and non-technical stakeholders.

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Master’s Degree Intern

Centro Atómico Bariloche - CNEA

Aug 2022 - Feb 2024 (1 year 7 months)

• Collaborated in a multidisciplinary research team in Computational Neuroscience, contributing to the analysis of animal behavior through state of the art methods. • Applied Deep Learning tools (DeepLabCut, TensorFlow, OpenCV) to extract postural data from video recordings of freely-moving mice. • Designed and implemented ETL pipelines using Python libraries (Pandas, NumPy, CuPy, SciPy, scikit-learn) to clean, process, and extract meaningful features from complex datasets. • Developed unsupervised and interpretable Machine Learning models to classify animal motor behavior, leveraging signal processing techniques (PCA, Wavelets), nonlinear dimensionality reduction (UMAP), and segmentation algorithms (Watershed).

Teaching Assistant

Universidad de Oriente

Feb 2014 - Jul 2017 (3 years 6 months)

• Assisted professors in teaching Physics I and Physics for Health Sciences. • Guided students in solving practical exercises and prepared them for tests.

Andres Alejandro Dosil Rivas

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