
The AIMM Project Team





The AIMM Project Team





The AIMM Project Team





[01]
Our DNA is human-centered, data-driven, and built for scale.
From data collection to decision support, AIMM integrates field measurements, machine learning, and predictive analytics into a unified system for monitoring malnutrition in real time. We bring together AI-driven insights calibrated with large-N empirical data and practitioner expertise to deliver scalable tools that help organisations identify risks earlier, allocate resources more effectively, and improve outcomes for vulnerable populations.
[01]
Our DNA is human-centered, data-driven, and built for scale.
From data collection to decision support, AIMM integrates field measurements, machine learning, and predictive analytics into a unified system for monitoring malnutrition in real time. We bring together AI-driven insights calibrated with large-N empirical data and practitioner expertise to deliver scalable tools that help organisations identify risks earlier, allocate resources more effectively, and improve outcomes for vulnerable populations.
[01]
Our DNA is human-centered, data-driven, and built for scale.
From data collection to decision support, AIMM integrates field measurements, machine learning, and predictive analytics into a unified system for monitoring malnutrition in real time. We bring together AI-driven insights calibrated with large-N empirical data and practitioner expertise to deliver scalable tools that help organisations identify risks earlier, allocate resources more effectively, and improve outcomes for vulnerable populations.
[02]
Our Team

Ravi Bhavnani
Project Lead
Graduate Institute ︱ Geneva, Switzerland

Nina Link
Project Manager
Graduate Institute ︱ Geneva, Switzerland

Ansh Kushwaha
AI Lab Programmer
FLAME University ︱Lavale, India

Kaushik Gopalan
AI Lab Director
FLAME University ︱Lavale, India

Sunil Rajpal
Monitoring & Evaluation Specialist
FLAME University | Lavale, India

Ravi Bhavnani
Project Lead
Graduate Institute ︱ Geneva, Switzerland

Nina Link
Project Manager
Graduate Institute ︱ Geneva, Switzerland

Ansh Kushwaha
AI Lab Programmer
FLAME University ︱Lavale, India

Kaushik Gopalan
AI Lab Director
FLAME University ︱Lavale, India

Sunil Rajpal
Monitoring & Evaluation Specialist
FLAME University | Lavale, India
[02]
Our Team

Nina Link
Project Manager
Graduate Institute ︱ Geneva, Switzerland

Kaushik Gopalan
AI Lab Director
FLAME University ︱Lavale, India

Ansh Kushwaha
AI Lab Programmer
FLAME University ︱Lavale, India

Ravi Bhavnani
Project Lead
Graduate Institute ︱ Geneva, Switzerland
[02]
Our Team

Nina Link
Project Manager
Graduate Institute ︱ Geneva, Switzerland

Kaushik Gopalan
AI Lab Director
FLAME University ︱Lavale, India

Ansh Kushwaha
AI Lab Programmer
FLAME University ︱Lavale, India

Ravi Bhavnani
Project Lead
Graduate Institute ︱ Geneva, Switzerland
COMPETENCIES
[03]
BHAVNANI
Kushwaha
AI Engineer at FLAME University's Centre for Interdisciplinary Artificial Intelligence (CAI). His work spans Data Science and AI/ML research, development, and deployment, with expertise in image processing and computer vision. He has designed, developed, and deployed AI-enabled software systems for government and research applications. Within AIMM, he contributes to the end-to-end development of the AI system, including data pipelines, image-based AI models, application development, and deployment for smartphone-enabled child nutrition monitoring.
COMPETENCIES
[03]
BHAVNANI
Kushwaha
AI Engineer at FLAME University's Centre for Interdisciplinary Artificial Intelligence (CAI). His work spans Data Science and AI/ML research, development, and deployment, with expertise in image processing and computer vision. He has designed, developed, and deployed AI-enabled software systems for government and research applications. Within AIMM, he contributes to the end-to-end development of the AI system, including data pipelines, image-based AI models, application development, and deployment for smartphone-enabled child nutrition monitoring.
COMPETENCIES
[03]
BHAVNANI
Kushwaha
AI Engineer at FLAME University's Centre for Interdisciplinary Artificial Intelligence (CAI). His work spans Data Science and AI/ML research, development, and deployment, with expertise in image processing and computer vision. He has designed, developed, and deployed AI-enabled software systems for government and research applications. Within AIMM, he contributes to the end-to-end development of the AI system, including data pipelines, image-based AI models, application development, and deployment for smartphone-enabled child nutrition monitoring.
Our Vision
Our Vision
Our Vision

The AIMM Project Team





The AIMM Project Team





The AIMM Project Team





[01]
Our DNA is human-centered, data-driven, and built for scale.
From data collection to decision support, AIMM integrates field measurements, machine learning, and predictive analytics into a unified system for monitoring malnutrition in real time. We bring together AI-driven insights calibrated with large-N empirical data and practitioner expertise to deliver scalable tools that help organisations identify risks earlier, allocate resources more effectively, and improve outcomes for vulnerable populations.
[01]
Our DNA is human-centered, data-driven, and built for scale.
From data collection to decision support, AIMM integrates field measurements, machine learning, and predictive analytics into a unified system for monitoring malnutrition in real time. We bring together AI-driven insights calibrated with large-N empirical data and practitioner expertise to deliver scalable tools that help organisations identify risks earlier, allocate resources more effectively, and improve outcomes for vulnerable populations.
[01]
Our DNA is human-centered, data-driven, and built for scale.
From data collection to decision support, AIMM integrates field measurements, machine learning, and predictive analytics into a unified system for monitoring malnutrition in real time. We bring together AI-driven insights calibrated with large-N empirical data and practitioner expertise to deliver scalable tools that help organisations identify risks earlier, allocate resources more effectively, and improve outcomes for vulnerable populations.
[02]
Our Team

Ravi Bhavnani
Project Lead
Graduate Institute ︱ Geneva, Switzerland

Nina Link
Project Manager
Graduate Institute ︱ Geneva, Switzerland

Ansh Kushwaha
AI Lab Programmer
FLAME University ︱Lavale, India

Kaushik Gopalan
AI Lab Director
FLAME University ︱Lavale, India

Sunil Rajpal
Monitoring & Evaluation Specialist
FLAME University | Lavale, India

Ravi Bhavnani
Project Lead
Graduate Institute ︱ Geneva, Switzerland

Nina Link
Project Manager
Graduate Institute ︱ Geneva, Switzerland

Ansh Kushwaha
AI Lab Programmer
FLAME University ︱Lavale, India

Kaushik Gopalan
AI Lab Director
FLAME University ︱Lavale, India

Sunil Rajpal
Monitoring & Evaluation Specialist
FLAME University | Lavale, India
[02]
Our Team

Nina Link
Project Manager
Graduate Institute ︱ Geneva, Switzerland

Kaushik Gopalan
AI Lab Director
FLAME University ︱Lavale, India

Ansh Kushwaha
AI Lab Programmer
FLAME University ︱Lavale, India

Ravi Bhavnani
Project Lead
Graduate Institute ︱ Geneva, Switzerland
[02]
Our Team

Nina Link
Project Manager
Graduate Institute ︱ Geneva, Switzerland

Kaushik Gopalan
AI Lab Director
FLAME University ︱Lavale, India

Ansh Kushwaha
AI Lab Programmer
FLAME University ︱Lavale, India

Ravi Bhavnani
Project Lead
Graduate Institute ︱ Geneva, Switzerland
COMPETENCIES
[03]
BHAVNANI
Kushwaha
AI Engineer at FLAME University's Centre for Interdisciplinary Artificial Intelligence (CAI). His work spans Data Science and AI/ML research, development, and deployment, with expertise in image processing and computer vision. He has designed, developed, and deployed AI-enabled software systems for government and research applications. Within AIMM, he contributes to the end-to-end development of the AI system, including data pipelines, image-based AI models, application development, and deployment for smartphone-enabled child nutrition monitoring.
COMPETENCIES
[03]
BHAVNANI
Kushwaha
AI Engineer at FLAME University's Centre for Interdisciplinary Artificial Intelligence (CAI). His work spans Data Science and AI/ML research, development, and deployment, with expertise in image processing and computer vision. He has designed, developed, and deployed AI-enabled software systems for government and research applications. Within AIMM, he contributes to the end-to-end development of the AI system, including data pipelines, image-based AI models, application development, and deployment for smartphone-enabled child nutrition monitoring.
COMPETENCIES
[03]
BHAVNANI
Kushwaha
AI Engineer at FLAME University's Centre for Interdisciplinary Artificial Intelligence (CAI). His work spans Data Science and AI/ML research, development, and deployment, with expertise in image processing and computer vision. He has designed, developed, and deployed AI-enabled software systems for government and research applications. Within AIMM, he contributes to the end-to-end development of the AI system, including data pipelines, image-based AI models, application development, and deployment for smartphone-enabled child nutrition monitoring.
Our Vision
Our Vision
Our Vision

The AIMM Project Team





The AIMM Project Team





The AIMM Project Team





[01]
Our DNA is human-centered, data-driven, and built for scale.
From data collection to decision support, AIMM integrates field measurements, machine learning, and predictive analytics into a unified system for monitoring malnutrition in real time. We bring together AI-driven insights calibrated with large-N empirical data and practitioner expertise to deliver scalable tools that help organisations identify risks earlier, allocate resources more effectively, and improve outcomes for vulnerable populations.
[01]
Our DNA is human-centered, data-driven, and built for scale.
From data collection to decision support, AIMM integrates field measurements, machine learning, and predictive analytics into a unified system for monitoring malnutrition in real time. We bring together AI-driven insights calibrated with large-N empirical data and practitioner expertise to deliver scalable tools that help organisations identify risks earlier, allocate resources more effectively, and improve outcomes for vulnerable populations.
[01]
Our DNA is human-centered, data-driven, and built for scale.
From data collection to decision support, AIMM integrates field measurements, machine learning, and predictive analytics into a unified system for monitoring malnutrition in real time. We bring together AI-driven insights calibrated with large-N empirical data and practitioner expertise to deliver scalable tools that help organisations identify risks earlier, allocate resources more effectively, and improve outcomes for vulnerable populations.
[02]
Our Team

Ravi Bhavnani
Project Lead
Graduate Institute ︱ Geneva, Switzerland

Nina Link
Project Manager
Graduate Institute ︱ Geneva, Switzerland

Ansh Kushwaha
AI Lab Programmer
FLAME University ︱Lavale, India

Kaushik Gopalan
AI Lab Director
FLAME University ︱Lavale, India

Sunil Rajpal
Monitoring & Evaluation Specialist
FLAME University | Lavale, India

Ravi Bhavnani
Project Lead
Graduate Institute ︱ Geneva, Switzerland

Nina Link
Project Manager
Graduate Institute ︱ Geneva, Switzerland

Ansh Kushwaha
AI Lab Programmer
FLAME University ︱Lavale, India

Kaushik Gopalan
AI Lab Director
FLAME University ︱Lavale, India

Sunil Rajpal
Monitoring & Evaluation Specialist
FLAME University | Lavale, India
[02]
Our Team

Nina Link
Project Manager
Graduate Institute ︱ Geneva, Switzerland

Kaushik Gopalan
AI Lab Director
FLAME University ︱Lavale, India

Ansh Kushwaha
AI Lab Programmer
FLAME University ︱Lavale, India

Ravi Bhavnani
Project Lead
Graduate Institute ︱ Geneva, Switzerland
[02]
Our Team

Nina Link
Project Manager
Graduate Institute ︱ Geneva, Switzerland

Kaushik Gopalan
AI Lab Director
FLAME University ︱Lavale, India

Ansh Kushwaha
AI Lab Programmer
FLAME University ︱Lavale, India

Ravi Bhavnani
Project Lead
Graduate Institute ︱ Geneva, Switzerland

