Responsibilities and achievements include:

• Research on social cognition problems, translating insights from basic social neuroscience into AI
• Developing simulations that reflect the broad social spectrum of humans, focusing on dilemmas involving cooperation and competition
• Projects: 1) AI inspired by metacognition and 2) modular attention for competitive/cooperative multi-agent reinforcement learning
• Achieved numerous academic participations in national and international conferences, as well a co-authorship of the Neuromatch Neuro AI course 2024 (refer to CV in bio for additional information)
• Received multiple awards including AI scholarship (DIRO), Redaction scholarship (DIRO), and travel grants from Mila and UNIQUE

Responsibilities and achievements include:

• Collecting and analyzing data for computational resources grant for the Digital Research Alliance of Canada (DRAC)
• Communicating with 25 team members to identify and measure computational needs
• Managing design, measurements, analysis, and writing of grant proposal
• Successfully increased RGU allocation from 1 to 65 RGU years (equivalent to CAD $220,000 using H100 80 GB GPUS metrics)

Responsibilities and achievements include:

• Managing key business system (control-M) at Colombia’s leading credit bureau
• Working with internal and external stakeholders (including Bancolombia and BBVA bank) to automate business workflows
• Identifying areas for improvement to enhance efficiency and productivity
• Updating control-M servers to industry standards, patching over 80% of vulnerabilities
• Resolving 100% of assigned critical incidents threatening credit data availability within an average of 2 hours

Responsibilities and achievements include:

• Supporting the development of automatic camera composition design using machine learning (1-click camera)
• Developing a centralized, SQL-based graph that enlarged the associated relational neural network on ANZO by 40%+
• Creating a centralized site for internal knowledge storage and sharing
• Collecting 5000+ data points for a machine-learning readable database
• Achieved 100% mark for internship performance