Shivpratap Singh Panwar

About Shivpratap Singh Panwar

ORCID: am Shivpratap Singh Panwar, a recent B.Tech graduate in Artificial Intelligence and Machine Learning from Medi-Caps University. My academic journey and research experience have centered around solving real-world challenges using AI, Machine Learning, and Deep Learning—ranging from education analytics and healthcare to agriculture. Research & Publications: Understanding the Patterns of Student Dropout: A Review – Published by Springer Analyzed 30+ factors affecting student dropout using ML, DL, and statistical modeling. Web-BCD: Breast Cancer Detection Using Hybrid ML Models – Published by IBM Benchmarked multiple ML and DL algorithms on medical imaging datasets, with XGBoost outperforming others. KrishiDisha – AI for Agriculture – Accepted by Developed an AI platform for smart farming with crop recommendations, disease detection, and yield prediction using integrated NLP and CV techniques. Core Skills & Tools:Languages: Python, C++Frameworks: Scikit-learn, TensorFlow, OpenCV, Pandas, NumPyDomains: Data Science, Computer Vision, Statistical AnalysisDatabases: MySQL, MongoDBTools: Git, Jupyter, Google Colab, MATLAB (basic) I take keen interest in neural networks, representation learning, and the intersection of AI with societal impact. Current Focus:I’m actively seeking AI/ML research and development roles where I can contribute to meaningful, data-driven solutions while continuously growing in applied machine learning and deep tech.

Experience

1. Machine Learning Engineer

   Kody Technolab Limited

   Apr 2025 — Present · Ahmedabad, IN

   Intern → Full-time conversion on 17 Nov 2025)* Designed and implemented computer vision pipelines for real-time video analysis using deep learning models.* Built robust data pipelines for preprocessing, batching, and feeding video and image data into training and inference workflows.* Performed model optimization (architecture tuning, inference optimization) to improve runtime performance and stability.* Reduced RAM and resource consumption to enable reliable execution under constrained environments.* Developed and deployed vision models for edge devices, balancing accuracy, latency, and memory constraints.* Built and optimized face recognition systems using InsightFace embeddings and FAISS-based similarity search.* Developed MediaPipe-based pose and action recognition workflows for applied vision use cases.* Collaborated with Java backend, Angular frontend, and Android teams to integrate ML inference into production applications.* Worked extensively with the Robotics team to adapt vision systems for real-time, hardware-constrained robotic platforms.* Contributed across the ML lifecycle including data preprocessing, model training, inference optimization, and deployment readiness.

Education

• Medicaps University

  Bachelor of Technology - BTech, Computer Science Engineering

• Shashwat International School

  10 Th

• Carmel Convent School - India

  12 Th, Science (Pcm)

  2019 — 2020

• Medicaps University

  BS in AIML, Artificial Intelligence and Machine Learning