Position: Generative AI LLM GPT LLaMA2
Category: Data Science
Experience: 11 years | English: fluent

Clients:
• Senior Data Scientist SignUp Software AB: 07/2019 - 04/2023
• C++ developer for unit tests, Codership OY: 2018
• Statistical Software Developer + Quick books integration, FBO: 2011-2017
• Barclays Capital: python, C++, Oracle, Sybase, SQL Server, 2010
• First Data: Oracle Data Warehouse performance tuning, 2007 — 2009
• Merck: Java + Oracle, 2006
• Scientific Algorithm Developer, University of Toledo: FORTRAN, c++ , 1999-2006

EDUCATION:
PhD (computational statistical) physics, 2006, U of Toledo, USA

I have many work achievements, please contact me through djinni for a CV / resume
EMPLOYMENT:
---------------
Senior Data Scientist, remote Jul 2023 - current               
Responsibilities: radically improve current LLM tagging accuracy, choose next LLM to use, tune, deploy
• OpenAI GPT, LLaMA, BERT
• AI System Audit and Error Analysis, review + document
• Proposed improvements

Senior Data Scientist, remote,  July 2019 - April 2023
Scope: Developed ML system for automatic mapping / prediction of invoice data into transactions of Microsoft Dynamics 365 Accounting. The trained models run as a 24/7 REST endpoint services in Azure Kubernetes or Docker Containers
developed in python:
• etl + conversion into data-trees + data-tree visualization
• ML model / regression, stochastic descent with constraints, Munkres best assignment
• ML model deployment in Azure ML Compute Cluster + service deployment in Azure Kubernetes and Docker
Used:
• python: Pandas, NumPy, SciPy, Numba, Matplotlib, Plotly, clustering, embedding, Scikit-Learn; openCV, pytesseract
• Azure ML API: Experiments in Compute Instances / Clusters, Endpoints in Kubernetes / Docker

Experience:
------------
• in information technology:
- AI: GPT, LLaMA, LLaMA2,  CNN, Attention, PyTorch, TensorFlow, instance segmentation (Yolo-seg), ONNX, TensorRT, hyper parameter optimization
- data science: regression, stochastic(=simulated annealing) descent, gradient boosting, classification, clustering, pca, embedding, Bayesian
statistics/inference; Pandas, NumPy, SciPy, Numba, Matplotlib, Plotly, Scikit-Learn, Scikit-Image, Keras, TensorFlow, LightGBM, OpenCV, PyTesseract
- cloud Azure ML: Experiments in Compute Instances / Clusters, Endpoints in Kubernetes / Docker
- time series: ARIMA
database: SQL and SQL extensions, performance
IT concepts: algorithm optimization, multithreading / multiprocessing, TCP/IP sockets 
core languages: python, core Java, core C / C++, fortran, R, Julia
multicore / clusters: MPI
data formats: csv , xml, json, regex
data transformation: cleaning, validation, data-warehousing
symbolic computation: Wolfram Mathematica
os shell scripting for: linux, windows
version control: git
system/data integration at the level of large international enterprises
• in academia:
statistical physics, numerical models (probability, linear algebra, ordinary and partial differential equations), numerical methods (pde, ode, Monte Carlo), numerical algorithms, parallel cluster programming
• I am best for RND (= research and development) roles
• AI : LLM (Large Language Model) GPT (Generative Pretrained Transformer) or CNN (Convolutional Neural Network), for other NN models it depends 
• Data Science / Classical ML / Quantitative Finance or
• Numerical Modeling

I avoid : Gambling, Adult, Gamedev, Blockchain/Crypto, Startup

I prefer a PERMANENT position in a STABLE company, but will consider ALL offers.

I am an auto-entrepreneur in France (=підприємець=self-employed) with all the official EU registration numbers. 
For accounting on my side, I always need:
• B2B contract  agreement
• official (email) notice of the first day at work 
• official (email) notice of the last work day