Rôles occupés
Back-end
Cloud
Miscellaneous
Coordinating and contributing to the end-to-end development of industrial AI projects, from concept through deployment, across diverse domains.
Independently building and deploying ML and RAG-LLM based automation pipelines from scratch, aligning solutions with business needs and accelerating delivery of AI-powered products.
Optimizing Retrieval-Augmented Generation (RAG) pipelines to improve accuracy and relevance of AI outputs in enterprise applications.
Developing a GPT-3.5-powered job-skill recommender system, parsing 500+ job descriptions to extract and visualize key skill requirements using Plotly.
Training a YOLOv5 model on 1,592 labeled images, achieving 99.3% mAP50 accuracy in detecting 12 distinct chess pieces under varying lighting and board conditions.
Developing an emotion-aware conversational AI system using LLMs and real-time video generation for interactive avatar.
Developing time-series forecasting models using Prophet for NFT price prediction.
Created an ICD coding recommendation system with 93% accuracy, streamlining medical coding tasks using supervised ML.
Master's in AI and Data Science, focusing on practical AI applications.
Bachelor's in Data Science and Data Engineering, providing a strong foundation in data analysis and engineering.