Sagarika Jadon
About Sagarika Jadon
Sagarika Jadon is a Machine Learning Engineer currently working at HyperVerge in Bengaluru, India. She has experience in developing AI solutions for fraud detection and has previously interned at SHL, where she fine-tuned a multi-modal contrastive model.
Work at HyperVerge
Sagarika Jadon currently serves as a Machine Learning Engineer at HyperVerge, a role she has held since 2023. In this position, she focuses on developing AI solutions for fraud detection, particularly during Know Your Customer (KYC) and onboarding processes. Prior to her current role, she worked as a Deep Learning Intern at HyperVerge from 2022 to 2023, where she gained valuable experience in machine learning applications.
Experience as AI Research Intern at SHL
In 2022, Sagarika Jadon completed a two-month internship as an AI Research Intern at SHL in Gurugram, Haryana, India. During this internship, she finetuned a multi-modal contrastive model designed to detect display attacks involving ID documents from various geographical regions. Her work achieved a false acceptance rate (FAR) and false rejection rate (FRR) of less than 1%, demonstrating her technical capabilities in the field.
Education and Expertise
Sagarika Jadon earned her Bachelor of Technology (BTech) in Computer Science from Guru Gobind Singh Indraprastha University, completing her studies from 2019 to 2023. She possesses strong programming skills in Python, C, and C++, and is proficient in frameworks and tools such as PyTorch, TensorFlow, Hugging Face, AWS, and SQL. Her educational background and technical expertise support her work in machine learning and AI.
Background in Machine Learning and Deep Learning
Sagarika Jadon has developed a solid foundation in machine learning and deep learning through her academic and professional experiences. Her roles have involved significant contributions to AI projects, particularly in fraud detection and security applications. This background equips her with the necessary skills to tackle complex challenges in the field of artificial intelligence.