CV
Education
| Degree | Institution | Duration | GPA/Details |
|---|---|---|---|
| MSc Machine Learning | University of Tübingen, Germany | 2024 - 2026 (Expected) | ELIZA Master’s Scholarship Recipient • Advanced Machine Learning, Deep Learning, Computer Vision • Natural Language Processing, Statistical Learning Theory • Optimization Methods, Bayesian Methods, Reinforcement Learning • Research focus: Computer Vision and Agricultural AI |
| B.Tech Computer Science Engineering | Guru Gobind Singh Indraprastha University, Delhi | 2019 - 2023 | GPA: 9.6/10 |
Professional Experience
| Position | Organization | Duration | Key Responsibilities |
|---|---|---|---|
| Associate ML Scientist - 2 | Wadhwani Institute for Artificial Intelligence, Delhi | Jan 2025 - Present | • Developing computer vision models for crop monitoring using Joint Positional Embedding models • Applying MAE (Masked Autoencoder) style pretraining strategies for region-specific pest recognition • Evaluating and fine-tuning Open Source Vision Language Models (VLMs) for agricultural applications • Leading pest monitoring projects with teams of ML analysts and interns |
| Associate ML Scientist - 1 | Wadhwani Institute for Artificial Intelligence, Delhi | Jul 2023 - Jan 2025 | • Automated image classification model development, reducing development time from 5 hours to under 1 hour • Streamlined ML deployment pipeline, accelerating releases from 5 days to under 1 day • Enhanced model reliability using dataset cartography techniques and Class Activation Maps (CAMs) • Developed and deployed Crop Yield Estimation solution with agronomist-validated feature importance • Advanced CottonAce project with synthetic image generation for national deployment |
| ML Intern | Wadhwani Institute for Artificial Intelligence, Delhi | Feb 2023 - Jul 2023 | • Developed and evaluated novel model distillation techniques for object detection and counting models • Optimized model performance and efficiency through various distillation strategies • Analyzed and improved cascade models including OOD detectors for edge devices |
| Research Intern | Indian Institute of Technology Delhi | Aug 2022 - Feb 2023 | • Worked under Prof. Chetan Arora and Prof. M. Balakrishnan on MAVI project • Research on gall bladder cancer detection from ultrasonography images • Focus on Vision Transformers explainability, Weakly supervised object detection, and Multiple instance learning |
| Summer Research Fellow | Indian Institute of Technology Delhi | Jun 2022 - Aug 2022 | • Optimized deep learning models for scene-text recognition using edge devices • Refactored and upgraded existing models to latest firmware versions (OpenVINO 2022, PyCam 2.0) • Converted and tested VisionLAN to ONNX and OpenVINO IR formats |
Technical Skills
| Category | Skills |
|---|---|
| Programming Languages | Python, C++, Java, JavaScript, C |
| Machine Learning & Deep Learning | PyTorch, TensorFlow, Keras, TensorFlow.js |
| Computer Vision | OpenCV, YOLO, Object Detection, Image Classification |
| Web Technologies | Flask, HTML/CSS, Git, AWS, GCP, Azure |
| Databases | MySQL, PostgreSQL, LaTeX, Scikit Learn |
| Specialized Areas | Agricultural AI, Medical Image Analysis, Edge Computing, Model Explainability |
Awards and Honors
| Year | Award | Organization |
|---|---|---|
| 2023 | Finalist, Singapore India Hackathon 2023 | Nanyang Technological University and Ministry of Education India |
| 2022 | Winner, UNESCO India Africa Hackathon 2022 | Ministry of Education of India |
| 2022 | Winner, Smart India Hackathon 2022 (Software Edition) | Ministry of Education of India |
| 2022 | Selected as UG Summer Research Fellow | IIT Delhi |
Service and Leadership
| Role | Organization | Duration | Description |
|---|---|---|---|
| Project Lead | Wadhwani Institute for Artificial Intelligence | 2023 - Present | Led teams of ML analysts and interns in agricultural AI projects |
| National Deployment Contributor | Ministry of Agriculture and Farmers Welfare | 2023 - 2024 | Contributed to national deployment of CottonAce project within National Pest Surveillance System |