Showcasing India’s AI Innovations at G20 Events

Reflections from our booths at the G20 Health, Agriculture, and Education Working Group Meetings
The Wadhwani AI team at the 1st Health Working Group Meeting of G20, Thiruvananthapuram

The theme for India’s G20 Presidency—’One Earth, One Family, One Future’, based on India’s philosophy of Vasudhaiva Kutumbakam, encourages people across the world to collectively work towards building a healthier post-pandemic world. In line with this spirit, Wadhwani AI is thrilled to have demonstrated our AI solutions in the domains of healthcare, agriculture, and education at various G20 events. In this blog post, we offer a glimpse into our participation at these events. 

G20 Health Working Group Meetings

On behalf of the e-Health AI Unit of the Ministry of Health and Family Welfare, Government of India, we set up stalls to promote a host of AI-powered solutions at the G20 Health Working Group (HWG) Meetings in Thiruvananthapuram, Goa, and Hyderabad, held from January to June.

Our solutions span areas such as ophthalmology, dermatology, radiology, tuberculosis, and newborn anthropometry. They include a Clinical Decision Support System (CDSS) and an event-based disease outbreak monitoring system that assists the government in taking timely actions to prevent pandemics and epidemics and potentially save thousands of lives.

Wadhwani AI team representing the e-Health AI Unit of the Ministry of Health and Family Welfare with our AI solutions at the 3rd Health Working Group Meeting of G20 in Hyderabad
The e-Health AI Unit stall set up by our team at the 3rd HWG Meeting in Hyderabad

Our AI solution demonstrations engaged technology evangelists, decision-makers, policy experts, and healthcare professionals, who applauded the remarkable advancements in AI for healthcare.

Representatives from organisations such as the Asian Development Bank, the Bill & Melinda Gates Foundation, University of Oxford, and ministries of health from France and Mauritius visited our stalls and showed keen interest in our AI solutions.

Wadhwani AI team member demonstrating our ophthalmology AI solution that screens for diabetic retinopathy at G20 event
Wadhwani AI team members demonstrating how our AI solution screens for diabetic retinopathy to delegates

Sunil Wadhwani, Wadhwani AI’s Founder-Donor, delivered a keynote address on innovations in healthcare at the 2nd HWG Meeting in Goa. He elaborated on the ways in which AI can bolster ongoing efforts to improve healthcare and highlighted our achievements in this field. 

Sunil Wadhwani, Shekar Sivasubramanian, and other team members from Wadhwani AI at their stall in the 2nd Health Working Group Meeting of G20 in goa
The team with Wadhwani AI’s founder, Sunil Wadhwani, and CEO, Shekar Sivasubramanian, at the 2nd Health Working Group Meeting of G20 in Goa.

Several delegates emphasised the need for developing novel solutions in developing countries. The importance of incorporating safety checks into all our health solutions,and ethical considerations such as privacy and accountability were also highlighted.

There were several areas of discussions held during this event, predominantly focused around the crucial role of partnerships and global collaboration in healthcare research and development; preparing and responding to health emergencies; strengthening cooperation in the pharmaceutical sector to provide safe and affordable medical countermeasures; and digital health innovation to aid universal health coverage.

Dr. VK Paul of NITI Aayog visiting our stall at the 3rd Health Working Group Meeting in Hyderabad
Dr. VK Paul, Member, NITI Aayog, at our stall at the 3rd HWG Meeting in Hyderabad.

We also had the opportunity to showcase our AI solutions at Advantage Healthcare – India, an international summit organised by the Department of Commerce, Ministry of Health, and the Federation of Indian Chambers of Commerce & Industry. The event focused on promoting India’s extensive medical capabilities and fostering healthcare collaborations among participating countries. At our stall, we showcased our AI solutions in the Indian healthcare sector to international collaborators, partners, and industry stakeholders.

Wadhwani AI team at the Advantage Healthcare Summit 2023, demonstrating our Clinical Decision Support System and our disease outbreak monitoring solutions.
We demonstrated our disease outbreak monitoring solution, our Clinical Decision Support System (CDSS), and our solutions for image and sound-based screening at the Advantage Healthcare Summit

G20 Agriculture Ministers’ Meeting

Aligning with the theme of India’s G20 Presidency, the Agriculture Working Group (AWG) strives to enhance cooperation among member nations. It seeks to facilitate discussions and information exchange on issues such as food security and nutrition, sustainable and climate smart agriculture, resilient and inclusive food value chains, and digitalization. The meetings took place 15-17 June in Hyderabad with officials from the Ministry of Agriculture.

Wadhwani AI team demonstrating AI solution to help farmers and others keep a record of farm activities
Our team members demonstrating Wadhwani AI’s AgriAI Collect solution

We were invited by the Ministry of Agriculture & Farmers’ Welfare to set up a stall and participate in the panel interview. We demonstrated some of our AI solutions for agriculture, which include an Automated Agriculture News Monitoring solution, Al Chatbots for Kisan Call Centres, a tool for Crop Yield Estimation, and AgriAI Collect, our digital farmer diary.

Our solutions generated great interest among government officials from the Indian Council of Agricultural Research, and state and central government agriculture divisions. Dignitaries from Telangana Department of Agriculture, the Professor Jayashankar Telangana State Agricultural University (PJTSAU), and Netherlands Business Support Office, Hyderabad, visited our stall, among others. 

Wadhwani AI team at G20 event
Our team members demonstrating Wadhwani AI’s Crop Yield Estimation solution

On the first day of the Agriculture Ministers’ Meeting, Wadhwani AI was invited to take part in two side-events:

  1. Managing Agribusiness for Profit, People, and Planet
  2. Connecting the Digitally Disconnected: Harnessing the Power of Digital Technologies in Agriculture

During the side-events, we discussed the ways in which we can create improved ecosystems for agribusinesses and the transformational role of digital technology in the agricultural ecosystem of India. The panellists shed light on the importance of prioritising fair trade, promoting rural development, and fostering inclusive growth in farming communities. They explained how to build resilience into the agriculture ecosystem in the ongoing ‘triple Cs’ (covid, climate, and conflict) of humanitarian crises.

We acquired valuable insights into sustainable agricultural practices that balance economic success with social and environmental responsibility. Moreover, we gained an understanding of the significance of adopting regenerative farming techniques, optimising resource efficiency, and reducing the ecological footprint of agricultural operations.

G20 Education Working Group Meeting

The Ministry of Education organised the 4th Education Working Group (EdWG) Meeting in Pune, Maharashtra, 20–21 June, 2023.  Delegates from G20 member countries, guest countries, and esteemed organisations such as OECD, UNESCO, and UNICEF participated in the event. The seminar, “Ensuring Foundational Literacy and Numeracy Especially in the Context of Blended Learning” was held on 19 June, 2023.

Wadhwani AI team demonstrating AI solutions for oral reading fluency, Vachan Samiksha
Wadhwani AI team members showcasing Vachan Samiksha to school students

We were invited to showcase our AI solutions for education at the Foundational Literacy and Numeracy (FLN) exhibition at Savitribai Phule Pune University.

We demonstrated our AI-powered solution Vachan Samiksha, which employs advanced AI algorithms to assess oral reading fluency and accuracy. Vachan Samiksha was launched in partnership with the Education Department of Gujarat on 13 June, 2023. Several dignitaries lauded Vachan Samiksha as a game-changing innovation that can transform the future of foundational literacy and numeracy. 

We also demonstrated our report automation tool, which automates reports for school, cluster, and block levels.

Wadhwani AI team demonstrating AI solutions in education
Our team members engaging with dignitaries in Pune

Wadhwani AI’s CEO, Shekar Sivasubramanian, believes that India’s G20 Presidency “places us at the centre of the world”, where our participation allowed us to contribute to the global dialogue on leveraging AI in healthcare, agriculture, and education using an action-oriented and pragmatic approach to drive social impact. He noted that the discussions with visitors to our stalls “added impetus by making us think, re-think, and strengthen our capabilities to develop cutting-edge, highly relevant, and customised AI solutions for specific problems”.

Wadhwani AI looks forward to many more opportunities to showcase our AI solutions that support India’s significant commitment to use AI in healthcare, agriculture, and education, among other domains.

  • Wadhwani AI

    We are an independent and nonprofit institute developing multiple AI-based solutions in healthcare and agriculture, to bring about sustainable social impact at scale through the use of artificial intelligence.

ML Engineer


An ML Engineer at Wadhwani AI will be responsible for building robust machine learning solutions to problems of societal importance; usually under the guidance of senior ML scientists, and in collaboration with dedicated software engineers. To our partners, a Wadhwani AI solution is generally a decision making tool that requires some piece of data to engage. It will be your responsibility to ensure that the information provided using that piece of data is sound. This not only requires robust learned models, but pipelines over which those models can be built, tweaked, tested, and monitored. The following subsections provide details from the perspective of solution design:

Early stage of proof of concept (PoC)

  • Setup and structure code bases that support an interactive ML experimentation process, as well as quick initial deployments
  • Develop and maintain toolsets and processes for ensuring the reproducibility of results
  • Code reviews with other technical team members at various stages of the PoC
  • Develop, extend, adopt a reliable, colab-like environment for ML

Late PoC

This is early to mid-stage of AI product development

  • Develop ETL pipelines. These can also be shared and/or owned by data engineers
  • Setup and maintain feature stores, databases, and data catalogs. Ensuring data veracity and lineage of on-demand pulls
  • Develop and support model health metrics

Post PoC

Responsibilities during production deployment

  • Develop and support A/B testing. Setup continuous integration and development (CI/CD) processes and pipelines for models
  • Develop and support continuous model monitoring
  • Define and publish service-level agreements (SLAs) for model serving. Such agreements include model latency, throughput, and reliability
  • L1/L2/L3 support for model debugging
  • Develop and support model serving environments
  • Model compression and distillation

We realize this list is broad and extensive. While the ideal candidate has some exposure to each of these topics, we also envision great candidates being experts at some subset. If either of those cases happens to be you, please apply.


Master’s degree or above in a STEM field. Several years of experience getting their hands dirty applying their craft.


  • Expert level Python programmer
  • Hands-on experience with Python libraries
    • Popular neural network libraries
    • Popular data science libraries (Pandas, numpy)
  • Knowledge of systems-level programming. Under the hood knowledge of C or C++
  • Experience and knowledge of various tools that fit into the model building pipeline. There are several – you should be able to speak to the pluses and minuses of a variety of tools given some challenge within the ML development pipeline
  • Database concepts; SQL
  • Experience with cloud platforms is a plus

ML Scientist


As an ML Scientist at Wadhwani AI, you will be responsible for building robust machine learning solutions to problems of societal importance, usually under the guidance of senior ML scientists. You will participate in translating a problem in the social sector to a well-defined AI problem, in the development and execution of algorithms and solutions to the problem, in the successful and scaled deployment of the AI solution, and in defining appropriate metrics to evaluate the effectiveness of the deployed solution.

In order to apply machine learning for social good, you will need to understand user challenges and their context, curate and transform data, train and validate models, run simulations, and broadly derive insights from data. In doing so, you will work in cross-functional teams spanning ML modeling, engineering, product, and domain experts. You will also interface with social sector organizations as appropriate.  


Associate ML scientists will have a strong academic background in a quantitative field (see below) at the Bachelor’s or Master’s level, with project experience in applied machine learning. They will possess demonstrable skills in coding, data mining and analysis, and building and implementing ML or statistical models. Where needed, they will have to learn and adapt to the requirements imposed by real-life, scaled deployments. 

Candidates should have excellent communication skills and a willingness to adapt to the challenges of doing applied work for social good. 


  • B.Tech./B.E./B.S./M.Tech./M.E./M.S./M.Sc. or equivalent in Computer Science, Electrical Engineering, Statistics, Applied Mathematics, Physics, Economics, or a relevant quantitative field. Work experience beyond the terminal degree will determine the appropriate seniority level.
  • Solid software engineering skills across one or multiple languages including Python, C++, Java.
  • Interest in applying software engineering practices to ML projects.
  • Track record of project work in applied machine learning. Experience in applying AI models to concrete real-world problems is a plus.
  • Strong verbal and written communication skills in English.