BUILDING MACHINES THAT LEARN.
ENGINEERING SYSTEMS THAT THINK.
Profile
Currently building depth across machine learning and modern AI through hands-on projects, research, and continuous experimentation, with a focus on growing into an AI Engineer.
I’m an AI/ML-focused developer building practical experience across machine learning, deep learning, computer vision, NLP, and modern AI. I turn concepts into working systems through hands-on experimentation, problem-solving, and continuous learning.
I focus on building practical AI systems that are reliable, efficient, and designed to create meaningful real-world impact.
Capabilities
A hands-on technical foundation focused on building, scaling, and deploying intelligent systems.
Practical modeling, feature engineering, and data-driven problem solving.
Designing neural architectures for computer vision and perception tasks.
Building LLM-driven workflows, retrieval pipelines, and autonomous agents.
Developing, testing, and containerizing performant AI services and APIs.
Selected Work
A selection of AI projects spanning computer vision, NLP, and modern intelligent systems.
A computer vision system that tracks body movement and detects incorrect exercise form in real time, with feedback through a webcam.
An NLP system that classifies 5,000+ emails as spam or legitimate, achieving 96% accuracy and 0.97 AUC-ROC.
Exploring LLMs, RAG, agentic AI, and generative AI through hands-on projects and experimentation.
Journey
Explore my broader academic journey and professional profile on LinkedIn ↗
Pursuing advanced AI studies in the USA while exploring deep learning, generative AI, LLMs, RAG, and agentic systems through hands-on projects, with a focus on production-ready intelligent systems.
Developing a strong foundation in Python, mathematics, data, and machine learning while turning concepts into hands-on projects.
What I Build
Focused on continuous learning, practical projects, and building toward production-ready AI systems.
Focused on developing practical AI solutions while growing toward production-ready engineering.
Exploring neural networks and modern AI approaches to build systems capable of learning from complex data.
Exploring LLMs, RAG pipelines, AI agents, generative AI, and modern techniques for building intelligent applications.
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