// About me
const me = {
role: "AI Engineering Student",
passion: ["computer vision", "photography"],
currently: seekingPhD(
"AI", "ML", "RL",
"Computer Vision", "Optimization")
}
Implemented GAN architectures for image generation and representation learning, exploring training stability and generative quality.
Exploring diffusion-based generative models applied to text, studying their capabilities as alternatives to autoregressive LLMs.
Designed a RAG-based agent for French legal procedures using AWS Bedrock, SageMaker, FAISS, and LangChain, enabling contextual and explainable legal assistance.
Built a multimodal system using Vision-Language Models (InternVL3.5-1B) for real-time video and webcam understanding with interactive Streamlit interface.
Reproduced LEA-UNet (Ouyang et al., 2023) with attention mechanisms for retinal vessel segmentation, scaling datasets via augmentation and evaluating with Dice & IoU.
Exploring neural implicit representations (DeepSDF) for 3D scene modeling, building pipelines from OpenStreetMap to signed distance fields with MLPs and Fourier features.
Designed an end-to-end pipeline on NYC taxi data from ingestion to analytics, with ML prediction of trip costs, using Airflow and Streamlit dashboards.
Conducting a state-of-the-art study on AI-based optimization for EV charging using multi-agent systems and combinatorial optimization approaches.
A beginner-friendly guide to transforming flat airport footprints into solid 3D geometry — the first step toward an AI-powered Digital Twin.
See post →Yeah, I know you are curious, buuuuuuuuut you need to wait a bit till I publish my next post! 😉.
I'm a Computer Engineering student specializing in Artificial Intelligence, building systems that understand the visual world while I explore it with my camera.
My Motto?
"Love your Life & Find beauty in the little things!"
Let's connect