I'm an aspiring
AI Engineer that
wants to build
real-world solutions
A brief introduction
of me.
I’m an aspiring AI Engineer that wants to build real-world solutions. Ever since I started exploring AI, I’ve been fascinated by how data and algorithms can come together to solve real problems and make life a little easier. I enjoy learning new techniques, experimenting with ideas, and seeing them actually work in real-life applications.
I’m motivated by projects that challenge me to think creatively and push my skills further. Whether it’s designing models, analyzing data, or building tools, I like turning concepts into solutions that have a tangible impact.
Through collaboration, hands-on projects, and a focus on ethical, user-centered design, I hope to create AI solutions that are not only smart but useful. My goal is to keep learning, keep experimenting, and contribute to technology that makes a difference in the real world.
My key areas of expertise.
My expertise lies in AI, machine learning, and data analytics. I also have a strong interest in developing solutions that balance technical innovation with real-world applicability. I’m constantly learning and adapting to new technologies to create smarter, user-centered systems.
Machine Learning
I enjoy building models that can learn from data, uncover hidden patterns, and make accurate predictions. Experimenting with different algorithms, tuning their parameters, and seeing them perform in real scenarios is something that motivates me. I like understanding why a model works, what could improve it, and how it can be applied to practical problems that make a difference.
Deep Learning
Working with neural networks allows me to tackle challenging tasks like image recognition, text analysis, and sequence prediction. I enjoy designing architectures, testing new approaches, and refining models to achieve better performance. It’s rewarding to see abstract concepts transform into models that can solve complex real-world problems effectively.
Data Engineering
I focus on preparing, cleaning, and structuring data to ensure it is reliable for AI workflows. Managing pipelines, handling large datasets, and making data accessible for analysis or modeling is crucial for successful projects. I take pride in building systems that allow models to perform efficiently and deliver consistent results.
Data Analysis
Turning raw data into actionable insights is one of my key strengths. I explore trends, visualize patterns, and interpret results to guide decision-making. Analyzing datasets thoroughly and connecting the dots between numbers and real-world outcomes helps me understand problems more deeply and propose meaningful solutions.
My Featured Projects
Here you’ll find a selection of my recent projects, each reflecting my journey in Applied AI. They showcase not just technical skills, but also creativity, problem-solving, and practical application.
EMNIST Letter Generator with cGAN
A conditional GAN that generates handwritten letters with creative filtering and classification techniques for uppercase and lowercase distinctions.
View Project
Pendulum Balance using DQN
A deep reinforcement learning model that balances a pendulum using a DQN architecture for optimal control.
View Project
Vegetable Images Classifier using CNN
A convolutional neural network designed to classify images of vegetables with high accuracy, utilizing transfer learning techniques for improved performance.
View Project