Aditi Krishnakumar Email & Phone Number

San Francisco, CA, US

San Francisco Bay Area

- Applying Reinforcement Learning algorithms and Transformer models to train autonomous vehicles using visual depth images and proprioceptive data- Working with PyTorch, StableBaselines, and PyBullet

Leading workshops and conducting one-on-one appointments with students to provide guidance on effective learning strategies such as extracting meaningful information, time management, efficient studying, and more.

San Francisco Bay Area

- Designing and developing a Core Model Data Pipeline from planning to deployment using DBT, Snowflake, and Looker- Collaborating with team and stakeholders to understand project requirements for the Salesforce Live Chat monitoring use case- Establishing Single Source of Truth infrastructure for the team which increased accuracy, reliability, and.

- Ideating and creating content on topics related to Cognitive Science and the student community in a professional setting- Organizing, planning and writing newsletter as well as blog articles- Developing leadership, decision making, team management and communication skills while leading a committee of my own- Enhancing team building and collaborative.

- Budget, ideate and organize fundraising events- Building relationships with companies and sponsors- Interviewing professors and alumni

- Developing a regulatory chatbot using the RASA framework - Working with FDA API data and NLP to classify regulatory updates - Designing and constructing a graph database using Neo4j -Utilizing the ElasticSearch toolkit as a search engine

Supporting Human Neuro-Cognition research by interacting with participants and recording neural signals through an EEG to assess specific areas of cognition and mental wellness. Conducting data analysis on neural data using MATLAB to identify neural circuit deficits correlating to higher level cognitive behavior.

- Organized, planned and led my own class of around 50 students- Acted as a mentor to guide and explain challenging Neuroscience concepts to students- Helped grade and create examination questions and held Office Hours- Developed decision making, leadership, teamwork abilities- Helped make class interactive and engaging for students

Conducting data analysis using MATLAB to model intelligent behavior and find relationships between facial trait perception and decision making. Designing and creating the user interface to collect participant data using JavaScript.

Cognitive Science, Machine Learning And Neural Computation

Minor in Computer Science Summa cum laude

International Baccalaureate