Ambika Acharya- Co-founder, CTO at Weav Technologies

Ambika Acharya Co- founder and CTO of Weav Technologies. Weav was one of a wide array fintech infrastructure firms that aimed to promote fintechs and financial institutions.

Ambika Acharya- Co-founder, CTO  at Weav Technologies

Weav's Co-founder and CTO Ambika Acharya, is working on a common API for commerce platforms. Earlier, she worked as a Machine Learning Engineer for iOS, developing predictive and customised functionalities. Model training, infrastructure development, data pipeline development, and feature metrics tracking are all skills that she has acquired.

She received her B.S. and M.S. in Computer Science from Stanford University, where She performed research in deep learning, computational biology, and computer vision. Artificial intelligence has grabbed her attention as a means of empowering cities, education, and developing markets. Ambika is also an active member of the community who helps women achieve financial independence via voluntary work. Students are taught the foundations of computer science and are mentored to help them thrive after graduation.

Qualifications & Experiences

2008 - 2012 Horace Mann School - High School Diploma

Societies and activities: SciTech (Science and Technology Fair) Co-Founder and Director, Horace Mann Record, Science Olympiad, Varsity Basketball, Varsity Volleyball, Science Publication Co-Founder and Editor. 

Bachelor's Degree from Stanford University 2012-2016: Computer Science

Haas Center for Public Service, Girls Teaching Girls to Code, Resident Computer Consultant, Power Parrot (2nd place Stanford Software Fair): sms-based application to track energy usage of your personal gadgets. 

In Professor Russ Altman's laboratory, She was awarded a grant to study on using semantic embeddings to better comprehend the space of chemical processes. It resulted in a publication and a Research Distinction. She worked in the computer science department on a project that used deep learning to model poverty in poor countries using satellite imagery.

Plan events and information sessions to advertise Genentech internships and full-time opportunities to University students. She created an application to help drug manufacturers better forecast clinical trial outcome. Members of her department and other departments may submit pertinent data into the programme, which would then generate production outcome forecasts. In Dr. Hanlee Ji's laboratory, she undertakes bioinformatics research. Math, chemistry, physics, microeconomics, and macroeconomics were all subjects She tutored high school students in. 

Master's Degree in Computer Science, Stanford University, 2015-2017,Distinction in Research

 Y Combinator W20 2020

Volunteering Works

  • Girls teaching Girls to Code

Sep 2017 - Present Board Member Girls Teaching Girls to Code

The goal is to introduce high school girls to computer science through mentoring and training so that they will feel confident in their future jobs. She would like to see more women in technology.

  • May 2020 - May 2021: Stanford University: Code In Place Section Leader Education

April 2020 - May 2021, member of the Code In Place teaching group. During the COVID-19 epidemic, Stanford University sponsored this online course. It drew 12,000 kids and 1100 volunteer teachers from all around the world to participate.

  • Move Up Today- Head Of Operations-Economic Empowerment

From January 2018 till the present. Implement programs and 1:1 mentoring sessions with mentors, clients, and community partners to assist women from underserved origins in entering the workforce.


  1. Java
  2. Python
  3. C++
  4. JavaScript 
  5. HTML
  6. Ruby on Rails.
  7. Interaction between humans and computerse research 
  8. C language.
  9. Tissue Culture in Photoshop
  10. PCR Western Cell Culture Blotting Unix MySQL CSS MongoDB Google API (Application Programming Interface) Bioinformatics Biotechnology Manufacturing Computing in Biology
Weav Technology
Weav's integrated technology was created to provide companies with access to "real-time, user-permissioned" commerce data that they might utilise to develop new financial solutions for small enterprises. Weav was founded on the belief that empowering businesses to create and incorporate new financial services opens up new potential for e-commerce merchants, creators, and other business owners. Weav's API call traffic has increased by 300 percent per month since its launch last year. Information is now stored on a range of different systems as a result of the growing usage of cloud and SaaS technologies. Weav's API seeks to create digital links that allow for automatic exchange and analysis, allowing commerce platforms to obtain standardised transaction data from their consumers in live time.
LinkedIn profile-