Artificial Intelligence - Engineering Resume Search
Artificial Intelligence - Engineering Resume Search
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Artificial Intelligence Resume


Desired Industry: Engineering SpiderID: 84313
Desired Job Location: Greater Boston Area, Massachusetts Date Posted: 9/1/2023
Type of Position: Full-Time Permanent Availability Date:
Desired Wage:
U.S. Work Authorization: Yes
Job Level: Experienced with over 2 years experience Willing to Travel:
Highest Degree Attained: Masters Willing to Relocate:


Objective:
Seeking new career opportunities in AI and machine learning.


Experience:
Cognizer, Inc, Pleasanton, CA, SEPT 2019 – APR 2023 (layoff)
Research Architect | Project Management
Jul 2021 – Apr 2023
Patents
▪️ Inventor on patents in the field of Natural Language Processing (NLP).
- Named Entity Recognition Using Capsule Networks
- Named Entity Disambiguation Using Capsule Networks
- System and Method for Nested Named Entity Recognition
- Semantic Frame Identification Using Transformers

Project Management
▪️ Spearheaded Patent Team of 5 data scientists and researchers.
▪️ Coordinated project documentation for the attorneys to apply for patents.
▪️ Led brainstorming sessions with the Patent Team to invent the model to patent.

Research and Development | Intellectual Property
▪️ Researched AI, Natural Language Processing (NLP), and related topics.
▪️ Evaluated misconceptions in the English language using ideology from the Linguistic Justice movement for the company to adjust how they approach conversational AI.

Documentation | Editing
▪️ Wrote up patent concepts for the attorney, including providing detailed explanations of the patent and related concepts as required.
▪️ Created diagrams using diagrams.net to illustrate the models.
▪️ Wrote summaries of research papers in a research paper repository.
▪️ Detailed editing of long-term vision and technical documents for customer communication.
▪️ Extensive proofreading of the patent drafts.
▪️ Wrote blog posts for company intranet explaining patent models and their purpose.


Cognizer, Inc
Research Intern
Sept 2019 – Jul 2021
Patents
▪️ Inventor on patents in the field of NLP.
- Semantic Frame Identification Using Capsule Networks

Project Management
▪️ Started as part of the Patent Team then moved to leading the 5 member team.
▪️ Coordinated project documentation for the attorneys to apply for patents.
▪️ Led brainstorming sessions with the Patent Team to invent the model to patent.

Research and Development
▪️ Researched Natural Language Processing (NLP) topics.

Documentation | Editing
▪️ Wrote patent concepts for the attorney, including providing detailed explanations of the patent and related concepts as required.
▪️ Created diagrams using diagrams.net to illustrate the models.
▪️ Wrote summaries of research papers in a research paper repository.

Intel, Hillsboro, OR, SUMMER – FALL 2016
HR Data Science Intern
Data Science
▪️ Gathered and cleaned data on factors connected to competitors’ hiring practices.
▪️ Built a model using R utilizing machine learning to determine when Intel competitors would be going into distress. Model was successful enough to warrant further development.

Research Presentation
▪️ Condensed diversity research results into a presentation that could be understood by the general population at Intel.
▪️ Presented to the HR data science team.

Lawrence Livermore National Laboratory (LLNL),
Livermore, CA, SUMMER 2014
Intern
Research
▪️ Research project related to inertial confinement fusion at the National Ignition Facility (NIF) using magnetic field to try to achieve ignition.
▪️ Ran simulations and analyzed data from simulations.
▪️ Results showed projected improvement in energy yield by 3 orders of magnitude and predicted yield sufficient for ignition.

Presentation
▪️ Presented results to LLN Laboratory staff at conclusion of internship.
▪️ Presented results as a poster at the Midstates Consortium: Undergraduate Research Symposium in the Physical Sciences, Mathematics, and Computer Science in the Fall of 2014.

C2 Education, Pleasanton, CA, MAR 2018 – JUN 2019
Teacher
▪️ Tutored students in 4th grade through 12th grade in math and physics for their school coursework.
▪️ Taught math subject material for SAT prep.
▪️ Taught math subject material and science subject material for ACT prep.


Education:
Masters in Mathematics
Boston University | GPA: 3.96

Bachelors in Mathematics and Physics
St. Olaf College


Additional Information:
Patents
SEMANTIC FRAME IDENTIFICATION USING CAPSULE NETWORKS
Purpose: Capturing the “sense” of words based on the context present, using CapsNet
ID: WO2021247610A1
Filed: June 1, 2021
Inventors: Jack Porter, Soundararajan Velu, Vineeth Munirathnam, Suzanne Kirch, Rajiv Baronia
URL: https://patents.google.com/patent/WO2021247610A1/


NAMED ENTITY RECOGNITION USING CAPSULE NETWORKS
Purpose: Identifying and classifying named entities in text, using CapsNet
ID: WO2022109203A1
Filed: November 18, 2021
Inventors: Jack Porter, Soundararajan Velu, Vineeth Munirathnam, Suzanne Kirch, Rajiv Baronia
URL: https://patents.google.com/patent/WO2022109203A1/

NAMED ENTITY DISAMBIGUATION USING CAPSULE NETWORKS
Purpose: Identifying, classifying, and disambiguating (differentiating) named entities in text, using CapsNet
ID: WO2022173773A1
Filed: February 9, 2022
Inventors: Suzanne Kirch, Vineeth Munirathnam, Rajiv Baronia, Jack Porter
URL: https://patents.google.com/patent/WO2022173773A1/


SYSTEM AND METHOD FOR NESTED NAMED ENTITY RECOGNITION
Purpose: Identifying and classifying all named entities in text, including those nested within longer named entities, using CapsNet
ID: WO2022221603A1
Filed: April 14, 2022
Inventors: Suzanne Kirch, Rajiv Baronia, Vineeth Munirathnam, Jack Porter
URL: https://patents.google.com/patent/WO2022221603A1/


SEMANTIC FRAME IDENTIFICATION USING TRANSFORMERS
Purpose: Capturing the “sense” of the word based on context, using transformers
ID: WO2023069396A1
Filed: October 18, 2022
Inventors: Jack Porter, Rajiv Baronia, Suzanne Kirch, Vineeth Munirathnam, Aditya Arun
URL: https://patents.google.com/patent/WO2023069396A1/


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