Oct 2021 – Feb 2022 · 4 mos · Vancouver, British Columbia, Canada

• Personally Identifiable Information Detection from Excels
• Working with the product team to gather requirements and formulating a concrete problem statement with expected deliverables and success criteria
• Collaborating with the engineering team to ship R&Dsolution into production.
• Eager in identifying the gap in the processes within the team and propose solutions to help in smoother functioning of the team.
• I also contribute to the hiring process- including designing the interview process, interview questions, and resume screening

Jul 2020 – Sep 2021 · 1 yr 2 mos · Vancouver, British Columbia, Canada

• Applying ML and NLP on unstructured and structured text to improve detection of sensitive text through the following:
• building new document level and token level classifiers with noisy annotations
• build novel models for Personally Identifiable Information Detection from Excel

Jun 2018 – Mar 2020 · 1 yr 9 mos

• 1. Natural Language Querying over Structured Data: building innovative solutions for natural language querying interface on structured data including multiple products of IBM
• 2. Paper: ATHENA++: Natural Language Querying for Complex Nested SQL Queries
• 3. Paper: Unified Semantic Parsing with Weak Supervision, ACL 2019
• 4. Outstanding Technical Achievement Award, 2019 (highest technical award), AI for Fashion
• 5. AI for Fashion received an A-level accomplishment in the Innovation category, 2018.
• 6. Received the 2nd IBM Invention Plateau Award in 2019, award recognizing prolific inventors.
• 7. Received the 1st IBM Invention Plateau Award in 2019, award recognizing prolific inventors.
• 8. Organised workshop on AI for Fashion in 2019
• 9. Member of the diversity council of the lab.

Jul 2016 – Jun 2018 · 1 yr 11 mos

• 1. AI for Fashion: Lead Complete the Look while making contributions to Visual and Natural Language Search, Watson Prints.
• 2. Eminence and Excellence Award 2018, applying AI to transform fashion and retail.
• 3. Experience in working with clients and transforming requirements into key deliverables.
• 4. Organised workshop on AI for Fashion 2018.
• 5. Paper: Styling with Attention to Details, AI for Fashion 2018
• 6. Received the IBM First Invention Filing Award in 2018, award in recognition of filing first patent

Aug 2014 – Dec 2015 · 1 yr 4 mos · Greater Hyderabad Area

• Ayushi has been the Teaching Assistant for the following courses:
• Web Mining (Monsoon 2014) assisting Dr. Manish Gupta
• Machine Learning (Monsoon 2015) assisting Prof. C.V. Jawahar

Aug 2013 – Jul 2016 · 2 yrs 11 mos · Greater Hyderabad Area

• Ayushi was working as a Research Assistant while working on her master's thesis, at the IRE Lab, IIIT Hyderabad.
• She worked on Sandhan, a cross-lingual search engine, along with a multi-institutional project funded by Dept. of Defence (Govt. of India). Developed query translation and transliteration engine to enable cross language search in 9 different Indian Languages beating competitive search engines in terms of precision, especially for cross-lingual search

May 2012 – Jul 2012 · 2 mos · Kharagpur I, India

• Graph Analysis and Community Detection in Citation Network.
• Advisor: Prof. Niloy Ganguly, Professor, Dept. of CSE, IIT Kharagpur.
• Mentor: Mr. Tanmoy Chakraborty, Phd. Scholar, Dept. of CSE, IIT Kharagpur.