A individual from Guatemala who is exploring the field of Cyberpsychology. My current goal is to understand the complexities of human behavior in the digital space and use research and technology to address important questions about our relationship with the digital world.

AI

A static website that provides essential information about emergency contacts, cooling centers, and hospitals that can be vital during these extreme temperatures.⁣ https://barriletechapin.github.io/Heatwave-Information-2025/

Reetika Gautam is a Data Scientist and Assistant Research Engineer at SURGAR, specializing in AI and machine learning with over three years of experience. She holds a Master’s degree in Computer Vision from Université de Bourgogne and a Bachelor’s degree in Information Technology from Netaji Subhash Engineering College. Reetika is actively engaged in advanced projects such as video object segmentation and predictive modeling, leveraging her strong coding skills in Python, Java, and SQL. Passionate about technology and data, she applies computer vision techniques and builds scalable AI systems to enhance data insights and automation, continuously seeking to grow her expertise in the field.

video object segmentation, predictive modeling, machine learning, computer vision, data science, AI systems development, data analysis, cybersecurity application development.

Currently, Reetika Gautam is working on video object segmentation projects using advanced machine learning techniques, focusing on improving accuracy and efficiency. She is also involved in developing predictive models for data-driven decision-making, utilizing Python and SQL for data processing and analysis. Her work includes applying computer vision methods and building scalable AI systems to enhance data insights and automation within her role at SURGAR.

I am an experienced AI solution architect with a strong background in machine learning, computer vision, and medical imaging. During PhD at Paris-Saclay/CEA, I focused on understanding the structural connectivity of the human brain. In particular I designed a novel reinforcement learning method for tractography. Transitioning into industry, I joined Deepomatic, where I led end-to-end deployments of AI-powered computer vision systems. I notably delivered real-time animal welfare monitoring solutions for Sanofi,. Currently building an AI-powered associate tailored for legal and audit professionals.

Machine Learning, LLM, Agentic apps, MLOps, Python, Open Source.

Building an agentic app for legal and audit firms.