Mr.Ambrish Kashyap is a talented and dedicated individual pursuing an Integrated Dual Degree (B.Tech + M.Tech) in Chemical Engineering at the prestigious Indian Institute of Technology, Delhi (2019-2024). With a solid academic background and a CGPA of 8.02, he excels in his field, driven by a passion for data analysis, computer vision, and AI research. Ambrish has gained significant industry experience through internships at renowned organizations such as American Express, ProtoTech Solutions, and Utkarshini EduTech. His technical skills span across Python, C, C++, MySQL, and various ML/DL libraries, making him adept at tackling complex challenges in the realm of chemical engineering and beyond. In addition to his technical prowess, Ambrish has showcased leadership and organizational skills through his involvement in coordinating large-scale events at IIT Delhi.
Publication Profile:
Orcid
Education and Experience:
Indian Institute of Technology, Delhi (2019-2024)
Delhi Public School, Bokaro (2017-2019)
- Intermediate in Science Stream, 95.2%
Data Analyst Intern, American Express (May 2023 – July 2023)
- Built Concept Drift Detection & Explanation Framework (CDDEF)
- Achieved Gini score of 99.27% using self-made Drift Score
Computer Vision Intern, ProtoTech Solutions (June 2022 – July 2022)
- Developed 3D models and segmented medical images
- Converted medical image data to 3D models for dimensional analysis
AI Research Intern, Utkarshini EduTech (Jan 2022 – March 2022)
- Implemented adversarial attacks on deep learning models
- Increased model accuracy on adversaries from 1.5% to 96.9%
Professional Development:
Advanced Text Summarization using Large Language Models (2023)
- Evaluated and enhanced performance of GPT-2, FLAN-T5, BART, and Pegasus for text summarization
Automatic Chapter Generation for YouTube Video (2023)
- Utilized Whisper AI for accurate transcription and Llama model for generating summaries
Segmentation of Brain Tumor using 3D GAN (2023)
- Achieved Dice Score of 0.92 with Swin Unetr GAN architecture
Coastal Boundary Detection (2022)
- Extracted and analyzed LANDSAT images, achieving 98% accuracy in segmentation maps
Predicting the Price of Flights using ML (2021)
- Developed a predictive model with 95.5% accuracy using Random Forest
Research Focus:
Mr.Ambrish Kashyap’s research interests lie at the intersection of chemical engineering, data science, and artificial intelligence. He is passionate about developing innovative solutions for real-world problems using machine learning, computer vision, and deep learning techniques. 
His work focuses on enhancing environmental sustainability through advanced analytical methods and predictive modeling. 
Ambrish is particularly interested in leveraging AI for healthcare applications, such as medical image segmentation and automated diagnosis, as well as improving industrial processes through data-driven insights. 
His dedication to research is evident in his projects on text summarization, chapter generation for YouTube videos, and segmentation of brain tumors using 3D GANs. He also explores environmental applications, such as coastal boundary detection and flight price prediction, demonstrating his versatility and commitment to interdisciplinary research.
Publications 
“Enhancing Coastal Water Body Segmentation with Landsat Irish Coastal Segmentation (LICS) Dataset”
– C. O’Sullivan, A. Kashyap, S. Coveney, X. Monteys, and S. Dev, Remote Sensing Applications: Society and Environment, 2024.