Adriel Acosta
@adrielacosta
Senior AI and Data Engineer specializing in ML, GenAI, and production deployments.
What I'm looking for
I bring extensive experience in applying machine learning (ML), including Generative AI (GenAI), across diverse fields and complex challenges. I have worked on ML applications in ad security, supply chain management, business analytics, image tracking, healthcare technology, and failure prediction. I have successfully led teams and managed projects from initial conception through full deployment in both startup and enterprise environments.
Experience
Work history, roles, and key accomplishments
Senior AI & Data Engineer
iOPEX Technologies
May 2020 - May 2025 (5 years)
Developed and deployed containerized services using Docker to deliver these features and standalone interfaces for rapid iteration. Provided a roadmap to develop AI features from concept to MVP, including architecture, integration, infrastructure, LLM model selection, feedback, training, and cost/quality trade-offs.ยท Trained 3 engineers to progress from beginners to production-level proficiency.
Built real-time object detection and ECG classification models, developed a 3D convolutional autoencoder for heart mapping, and implemented dataset annotation systems and secure data controls across distributed databases.
Developed the Tube Watch predictive monitoring system, designed multimodal failure-prediction algorithms for CT machines, and built NLP classifiers and optimized preprocessing to process ~100M records in 2 hours on a single machine.
Education
Degrees, certifications, and relevant coursework
Loyola University Chicago
Bachelor of Science, Computer Science
2009 - 2013
Grade: 3.7
Activities and societies: AI club
Completed a Bachelor of Science in Computer Science, covering core computer science principles and practical software development from August 2009 to May 2013.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Social media
Job categories
Skills
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