Researching Algorithms, Artificial Intelligence, Database Architectures and Mathematical Foundations of Computing

PhD Computer Science • Statistical Consulting • Machine Learning Systems

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About

I am a Computer Science PhD student passionate about the science of computation and the engineering of intelligent systems. My interests span algorithm design and analysis, database architectures, machine learning, artificial intelligence, cryptography, high-performance computing, and statistical modeling. I enjoy transforming rigorous mathematical ideas into scalable, practical solutions.

Research Areas

Algorithms

Design and analysis of efficient computational systems.

Artificial Intelligence

Machine learning, deep learning, and intelligent systems.

Databases

Architecture, query optimization, and distributed systems.

High Performance Computing (HPC)

Parallel processing, distributed computing

Cryptography

Secure systems and encryption protocols.

Software Engineering

Scalable architecture and system design.

Mathematics

Discrete math, linear algebra, probability, and optimization.

AI & Machine Learning Focus

Machine Learning

Deep Learning

Natural Language Processing

Computer Vision

Transformer Models

Diffusion Models

Large Language Models

CNNs

Reinforcement Learning Models

RNNs

Mathematics for Computer Science

Discrete Math Linear Algebra Calculus Probability Statistics Graph Theory Optimization Number Theory Boolean Logic Set Theory Combinatorics Information Theory Numerical Methods

Collaboration & Consulting

Open to academic collaboration, statistical consulting, and machine learning system development.

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