eAxis Analytics is available for a broad range of independent consulting and contracting services covering Agentic AI, AI/ML, data processing, analytics, and modeling.

 

eAxis Analytics was founded by Michael Suesserman to develop novel AI models for automated stock analysis. Michael possesses a PhD in Electrical Engineering with a major in Digital Signal Processing that covers a broad range of advanced theoretical and applied mathematics and dissertation research that focuses on biomendical instrumentation and brain-computer interface. A passion for working with data underlies two decades of experience processing and analyzing many types of structured and unstructured data, and has developed traditional AI/ML models with an emphasis on healthcare, life sciences, financial and biomedical fields. Since the release of ChatGPT in November 2022, Michael's focus has been on developing commercial apps using Large Language Models and agentic systems. Recent projects have involved high-velocity engineering with vibe coding AI tools, including Claude Code, Cursor, Replit, and GitHub Copilot. Complete details of Michael's background and publications are available on LinkedIn:

 

linkedin.com/in/michael-suesserman-phd/

 

• GenAI and Agentic AI
• Retrieval Augmented Generation (RAG)
• LLM Training (LoRA and QLoRA)
• Multi-Agent Systems (LangChain/LangGraph, complex agent looping, LLM-as-Judge, token optimization, ...)
• Machine Learning and Artificial Intelligence:
• Reinforcement Learning --> Deep Convolutional Q-Learning, A3C, LSTM-A3C
• Supervised Models --> Calssification, Regression, Random Forest
• Hyperparameter Optimization
• Natural Language Process (NLP) --> tokenization (POS, lemmatization, …), NER, topic modeling, Word2Vec, semantic analysis and sentiment analysis
• Deep Learning:
• Supervised --> Artificial Neural Network (ANNs), Convolutional Neural Networks (CNNs), Faster R-CNN, Mask R-CNN, Recurrent Neural Networks (RNNs) with LSTM
• Unsupervised Models --> AutoEncoders, Clustering, Self-Organizing Maps, Boltzmann Machines, Deep Belief Networks (DBNs)
• Data Science and Data Engineering
• Deep Experience with All Major Cloud Platforms (AWS, Azure, and GCP)
• ETL, Data Pipelines and Data Lakes (Spark, Hadoop, Databricks)
• Structure (scaling to 1 billion rows of data), Semi-Structured, and Unstructured Data
• Predictive Analytics and Optimization Modeling

 

• Main Site
  (eAxis.com): this corporate site that summarizes our Data Science Consulting Services.
• Serverless Dev Site
  (dev.eAxis.com): a dev site that is used for developing and testing serverless microservices on AWS (Amazon Web Services). This entire site is created using static HTML that is globally available through the CloudFront edge network. Dynamic content is created using AWS Lambda and Lambda@Edge connected to the API Gateway.