Hello! I'm a Master's Candidate in Data Science at Tufts University. My journey on AI spans from the theoretical realms of statistical learning theory to practical applications across diverse fields such as science, natural language processing, imaging, genetics, biology, and medicine. I'm deeply invested in exploring how big data, AI, algorithms, and systems can shape and influence our society. My interests lie in the foundations and practical applications of statistically-based algorithms, which are pivotal in creating robust data-centric models, making accurate predictions, and facilitating informed decisions. Furthermore, I am committed to understanding the mathematical foundations that underpin information theory, machine learning, algorithms, and systems.

In April 2023, I started working as a researcher at the Levin Lab at the Allen Discovery Center at Tufts under the guidance of Dr. Hananel Hazan. Here, I am expanding my expertise through advanced projects involving spiking neural networks (SNN) for BindsNET, and large language models (LLMs) such as Falcon, LLaMA, MPT, Vicuna, Guanuco, and various open-source GPT models. My focus in these projects is on the fine-tuning of these models for exploratory analysis in genetics and biology papers, a challenging yet exciting venture.

My background in software development forms a strong foundation for my current pursuits. I have expert-level proficiency in Web and Mobile Development, with a particular focus on technologies like React, React Native, JavaScript, and TypeScript. Additionally, my back-end skills are well-established, with significant experience in Symfony, PHP, MySQL, and MongoDB, particularly in the AWS cloud environment.

My goal is to seamlessly integrate my software development skills with my machine learning knowledge to create impactful, data-driven solutions. I am a firm believer in the open-source, research-based progression towards understanding and developing Advanced General Intelligence (AGI) systems. I am committed to ensuring that these systems are reliable, responsible, and align with human and cultural values. My ambition is to apply cutting-edge AI techniques to address real-world problems, making a meaningful difference through technology.

For any further inquiries or collaborative opportunities, the best way to reach out to me is via LinkedIn. I'm always open to engaging in meaningful conversations and exploring new possibilities in the field of data science and AI.

If you're passionate about philosophy, neuroscience, and evolutionary biology, and enjoy exploring topics like free will, consciousness, agency, intelligence, complex systems, cognition, or active inference, I'd love to connect and discuss these fascinating subjects. Please reach out to me via LinkedIn, as it's the best way to start an engaging conversation and exchange ideas with like-minded individuals.