on a mission to get my preprint(s) up! ping me if you wanna talk about anything ai safety related (more into technical stuff compared to policy stuff tho)
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Heritage Institute of Technology
Data Scientist
June 20, 2026 – Present
MIVLDE
January 10, 2025 – September 7, 2025
Repository for sub-teams working on Mechanistic Interpretability via Learning Differential Equations
View Projectreprogramming_ai_models
November 22, 2024 – November 25, 2024
reprogramming_ai_models — GitHub repository
View Projectsheet-counter
August 5, 2024 – August 5, 2024
Sheet Counter is a Streamlit application designed to count the number of sheets in a given video or image. The app uses computer vision techniques to detect and count horizontal lines, which represent sheets in the input media.
View Projectfraud-detector
July 21, 2024 – August 1, 2024
Project FraudCatch leverages AI to predict and prevent financial fraud in real-time. It uses Apache Kafka for data streaming, Apache Spark for distributed processing, and differentially private machine learning models for security. Our Streamlit application provides businesses with real-time fraud analysis, notifications, and preventive measures.
View ProjectJessup-Cellar-RAG-App
July 19, 2024 – July 23, 2024
Jessup's Helper is a Retrieval Based Chatbot that uses a pre-trained Llama3-8b model to generate responses to user input. Groq has been used for a near instant inference because of the high token speed, and Google Gen AI Studio API has been used to get the embeddings. The model uses a PDF file for information retrieval based responses.
View ProjectQuantum-Stuff
April 26, 2024 – April 26, 2024
This repo contains all the files, articles, guides, tutorials, codes and other resources that I create myself or find helpful, that are based on the domain of Quantum Computing.
View ProjectBasics-of-ML
October 1, 2023 – October 1, 2023
This repo contains everything that you need to get started with ML.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic in nature, indicating a strong drive for self-learning and exploration in AI/ML. However, the lack of team-based or collaborative projects, and the absence of diverse industry experience, suggests a potential gap in understanding broader organizational dynamics and collaborative development workflows. The single listed work experience is current and started in the future (2026), which is inconsistent and cannot be used for evaluation.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, providing no insight.