Experience

Trustible

• United States
• Technology, Information and Internet
• 1 - 100 Employee

• Director of Machine Learning Engineering

  • Mar 2023 - Present

  Enabling Trustworthy and Responsible AI. Trustible is on a mission to enable trustworthy & responsible AI. Trustible's AI Governance platform integrates with existing AI/ML platforms to help organizations define necessary AI policies, implement and enforce Responsible AI practices, and generate evidence to prove compliance with emerging AI regulatory frameworks. Trustible helps you say it, do it, and prove it. Enabling Trustworthy and Responsible AI. Trustible is on a mission to enable trustworthy & responsible AI. Trustible's AI Governance platform integrates with existing AI/ML platforms to help organizations define necessary AI policies, implement and enforce Responsible AI practices, and generate evidence to prove compliance with emerging AI regulatory frameworks. Trustible helps you say it, do it, and prove it.



Snorkel AI

• United States
• Software Development
• 1 - 100 Employee

• Machine Learning Solutions Engineer

  • Oct 2021 - Mar 2023

  Empowering Federal and Commercial clients to make data-centric AI applications using the SnorkelFlow Platform. Key Accomplishments: - University Sale Ownership: Led the technical aspect of a sale to a university research group resulting in six-figure contract. - Federal Client Enablement: Created custom workshops on Named Entity Recognition and Cross-Modal Image Classification. - Internal Improvements: Established new guidelines for creating custom platform demos. Before this project, the assets were stored inconsistently, and preparing for client meetings involved a lot of troubleshooting. - Multi-lingual projects: Researched how SnorkelFlow platform could be used for multilingual applications. **Responsibilities** Technical Sales: Assess sales opportunities by evaluating team fit and business value associated with clients’ AI Projects. Enable clients to work with the platform by creating custom training and co-delivering solutions to client problems in the SnorkelFlow platform. Engineering Liason: Communicate client feedback and problems to the engineering organization; review technical design documents for new feature development to ensure that plans reflect client needs; create quality assurance plans to ensure that clients' projects are supported during platform upgrades. Internal Processes: Create reusable internal resources for the whole MLSE team to accelerate engagement with new clients. Supported junior team members through various technical challenges. Research: Prototype Machine Learning applications that are not currently supported by the platform and collaborate closely with engineers and researchers on future implementation plans. Show less



FiscalNote

• United States
• Technology, Information and Media
• 300 - 400 Employee

• Research Scientist

  • Jul 2018 - Oct 2021

  Key Accomplishments:- Designed and built the "NLP-Engine": a framework for applying text analysis with unified procedures for collecting,cleaning and storing the processed data, as well as, an API to support processing the data on remote servers. The system significantly reduced the overhead for the creating new modules (e.g a sentiment classifier) and sharing the analysis.- Ran a project to create a Knowledge Graph for exploring connections between federal bills, laws and regulations. - Coordinated efforts of two additional engineers for the data ingestion and storage aspects of the project. - Designed methods to interact with the Neo4j database. Created a custom web visualization tool using Vis.js.- Implemented a tool for search query creation and expansion using statistically generated key terms- Created a system for Named Entity Extraction and Matching. - Supervised two interns on the initial subproject to evaluate how out-of-the-box SpaCy model performs on Congressional Bills and Reports. - Designed an algorithm for mapping extracted entities to canonical database entries; created a service to enable other team’s to use this functionality. - Applied the system to build a prototype for recommending tags (people, organizations) based on users’ free-form input notes.- Led a small team in the creation of a custom taxonomy of topics for legislation/policy. Implemented a suite of methods for reviewing ”key terms“ associated with each topic using custom embedding models and outlier detection methods.- Redesigned a key platform service that predicts the likelihood that a bill will pass and provides client-facing explanations. Created an online architecture to replace a legacy batch system, trained new models that are easy and efficient to maintain, and designed more intuitive prediction explanations.- Experimented with using topic models and embedding clustering to identify key themes in comments on proposed federal regulations. Show less

• Data Scientist

  • Jun 2016 - Jul 2018



Carnegie Mellon

• Australia
• Higher Education
• 1 - 100 Employee

• Teaching Assistant for 15-424

  • Jan 2016 - May 2016

  I served as a teaching assistant as an upper level course at CMU (http://symbolaris.com/course/fcps16.html). As part of the course staff, I created new homework assignments, graded them and assisted students during office hours. I served as a teaching assistant as an upper level course at CMU (http://symbolaris.com/course/fcps16.html). As part of the course staff, I created new homework assignments, graded them and assisted students during office hours.



Khan Academy

• India
• Capital Markets

• Data Science Intern

  • Jun 2015 - Aug 2015

  - Analyzed complex data on a new dataset and restructured it into a more convenient format for future work. - Extended data logging to include new contextual and device information. - Assembled content for new SAT product using algorithmic and analytic techniques. - Analyzed complex data on a new dataset and restructured it into a more convenient format for future work. - Extended data logging to include new contextual and device information. - Assembled content for new SAT product using algorithmic and analytic techniques.



Pinterest

• United States
• Technology, Information and Internet
• 700 & Above Employee

• Pintern

  • May 2014 - Aug 2014

  Worked on data infrastructure team to expand A/B experiments platform. Worked on data infrastructure team to expand A/B experiments platform.



Square

• United States
• Software Development
• 700 & Above Employee

• Software Engineering Intern

  • May 2013 - Aug 2013

  Developed new ETLs for analytics teams. Developed new ETLs for analytics teams.