About Me
I'm a Data Scientist and Data Engineer at IBM with a Master's degree in Data Science. My passion lies in leveraging cutting-edge technologies to solve complex problems through data-driven insights and intelligent automation.
With expertise in Deep Learning, Natural Language Processing, and AI Automation, I specialize in building scalable machine learning solutions using Python, TensorFlow, PyTorch, and Big Data technologies like Hadoop and Spark.
Throughout my career, I've worked on diverse projects ranging from blood cell detection using YOLO V8, to simulating autonomous vehicles with genetic algorithms, to enterprise level RAG Applications. I'm also a published researcher in the field of Data Science and Bioinformatics.
Featured Projects
CognIQ - AI Usage Tracker
Track cognitive outsourcing patterns with AI tools like ChatGPT, Claude, and Gemini. Gain insights into your AI reliance and build healthier, more intentional habits with analytics and personalized insights.
View Project →Pluto - ML Pipeline Builder
Visual node-based machine learning workflow builder. Design ML pipelines with drag-and-drop interface and generate Python code automatically.
View Project →Self-Driving Cars Simulation
Simulating autonomous vehicles using Genetic Algorithms and Neural Networks to evolve intelligent driving behavior.
View Project →Blood Cell Detection
Comparative analysis of YOLO V8 and R-CNN for accurate blood cell detection using deep learning techniques.
View Project →Disease-Gene Association Classification
Published research using BERT, DNN, and RNN models for classifying disease-gene associations from biomedical literature through text mining.
View Research →Enterprise RAG Platform
Enterprise-ready RAG system featuring granular access control groups, comprehensive audit logging, and a scalable architecture powered by Gemini.
View Project →Mac Angel | armacwan@gmail.com | angel.macwan@ibm.com