Education

Master of Science in Machine Learning

University of Tübingen, Germany
2025 - 2027

  • Program: MSc Machine Learning
  • Scholarship: ELIZA Master’s Scholarship Recipient
  • Current Courses (Summer 2026): Probabilistic Machine Learning · Statistical Machine Learning · Video Analytics · AI and Business · Advancements in Multimodal Systems
  • Completed (Winter 2025/26): Deep Learning · Mathematics for Machine Learning · Data Literacy · Science of ML Benchmarks · AI for Brain Health · Massively Parallel Processing
  • Research: Spatial audio, multimodal systems, Spatial-AVQA, and world models (with the CVML Lab)

Bachelor of Technology in Computer Science and Engineering

Guru Gobind Singh Indraprastha University, Delhi, India
July 2019 – June 2023

  • GPA: 9.6/10
  • Specialization: Computer Science and Engineering
  • Key Projects: Agricultural AI, Medical Image Analysis, Computer Vision
  • Research Focus: Deep Learning, Model Optimization, Edge Computing

Academic Achievements

Scholarships & Recognition

  • ELIZA Master’s Scholarship - University of Tübingen (2025)
  • Finalist - Singapore India Hackathon 2023 (Nanyang Technological University and Ministry of Education India)
  • Winner - UNESCO India Africa Hackathon 2022 (Ministry of Education of India)
  • Winner - Smart India Hackathon 2022 Software Edition (Ministry of Education of India)
  • Selected as UG Summer Research Fellow - IIT Delhi (2022)

Research Experience

  • Summer Research Fellow - IIT Delhi (June 2022 - August 2022)
    • Worked on the MAVI project to assist the visually impaired
    • Optimized deep learning models for edge devices
    • Focused on scene-text recognition and model optimization
  • Research Intern - IIT Delhi (August 2022 - February 2023)
    • Medical AI: Gall bladder cancer detection from ultrasonography images
    • Vision Transformer explainability and weakly supervised object detection
    • Multiple instance learning for medical applications

Technical Skills

Programming Languages

  • Python (Primary), C++, Java, JavaScript, C

Machine Learning & AI

  • Deep Learning: PyTorch, TensorFlow, Keras, TensorFlow.js
  • Computer Vision: OpenCV, YOLO, Object Detection, Image Classification
  • Model Optimization: ONNX, OpenVINO, Edge Computing

Web Technologies

  • Backend: Flask, Django
  • Frontend: HTML/CSS, JavaScript
  • Cloud: AWS, GCP, Azure
  • Version Control: Git, GitHub

Specialized Areas

  • Agricultural AI: Crop monitoring, pest detection, yield estimation
  • Medical Image Analysis: Diagnostic assistance, explainable AI
  • Uncertainty-Aware ML: Robust systems and uncertainty quantification
  • Edge Computing: Model optimization for resource-constrained devices