Godfred Epie Essongolle

Godfred Epie Essongolle Date of birth: 23/03/1989 (- (Work) Nationality: Cameroonian Sex: Male Phone: (- (Home) Phone: Email:- LinkedIn: https://www.linkedin.com/in/egodfred Address: Via Socrate 12, Int 3, 65127, Pescara, Italy (Home) ABOUT MYSELF I’m an Enthusiast Software Engineer & Data Specialist always looking for data-driven solutions to diverse problems encountered in the industrial and Academic sectors, with an extensive academic background in both Computer Science and Applied Mathematics. Experienced Software Engineer with demonstrated history working in developing software for massively parallel High-Performance Computing Systems, skilled in using Machine Learning methods and Big data Technologies to derive data-driven solutions. WORK EXPERIENCE 17/03/2023 – CURRENT Rome, Italy ANALYTICS ENGINEER & B.I CONSULTANT ECOH MEDIA SRL - Migration of Clients data infrastructure and processes { ETL Tool : Pentaho Data Integration --> Apache Hop Scheduling and Orchestration : Minicron --> Apache Airflow DB : Exasol --> Snowflake Reporting : Tableau Server --> Tableau Cloud } - Design and Build Continuous Learning ML Systems for Clients - Model and Build Data Warehouses for Clients. - Design and Build ETL Pipelines to feed Data Warehouses both on premises (SQL SERVER) and Cloud (Snowflake) infrastructures. - Build Reports in the form of Dashboards using Tableau for Clients 01/02/2021 – 31/01/2023 Rome, Italy SOFTWARE ENGINEER & DATA SCIENTIST PROJECT CONSULTING SRL • • • • • Design and Development of Computer Vision Applications on both single Cameras and Camera Networks Project Management for Projects assigned to A.I. Team System Administration of Development infrastructure used by A.I. Team Administration of Kubernetes Cluster used by A.I. Team GitLab Auto DevOps 01/02/2018 – 30/01/2021 Rome, Italy FREELANCE SOFTWARE ENGINEER, DATA ENGINEER AND DATA SCIENTIST SELF-EMPLOYED Working as a Freelance Data Scientist Consultant with different Companies requiring my services • Database Administration • Various Projects regarding Machine Learning and Big Data , be it Real time analytics using technologies like Spark and Kafka, as well as batch Analytics using Data Lake infrastructures like Hadoop and RDMS to do analytics, generate reports and audits. • Data Driven Application Development for e .g. In a Project with a Healthcare Market Research Digital Marketing Company (Medipragma) developed a python application to extract useful data to evaluate certain metrics from diverse data sources ( Online Questionnaires , flat files and Spreadsheets for Machine Learning Analysis and for generation of Dashboards important for the Companies Clients ( Health Care and Pharmaceutical Companies) 01/07/2016 – 10/01/2018 Gdansk, Italy RESEARCH ASSISTANT GDAŃSK UNIVERSITY OF TECHNOLOGY • Developed Parallel Algorithms to improve the simulation of Graphene and Carbon Nanotubes using Monte Carlo Simulation techniques as compared to Molecular Dynamics on Hybridized Parallel (GPUs + CPUs) HPC Systems. Redesigned the MRG32K3A pseudo Random number generation algorithm for the parallelization of Random Number generation at the level of the Device Memory of GPU (Graphical Processing Units )), making these pseudo random streams more accessible to the parallelized Monte Carlo routines running on the Streaming Processors ( SP )), we were able to get some performance improvements of over 45x for Small Graphene sheets with respect the serialized versions of the Simulation Code. • The entire project was done on a Linux based Massively Parallel Cluster with a huge grid of CPU and GPUs, working on such systems required good knowledge of Linux scripting in BASH & Perl, C++, CUDA • Data Science (Tableau , Hadoop, Deep Learning, Computer Vision, TensorFlow) 01/09/2014 – 30/07/2016 L'Aquila, Italy UNIVERSITY RESEARCH ASSISTANT UNIVERSITY OF L'AQUILA • Creation of Parallel Algorithms to improve Simulation of Monte Carlo Algorithm on different Bio-Chemical Molecules on Hybridized Massively Parallel HPC Systems. We redesigned a more performant parallelized MRG32K3A PRNG Algorithm for the generation of pseudorandom streams at the GPU device memory , thus improving the Quantum Monte simulation of Helium Clusters under NVT conditions to performances of over 50x for a System of 100 Helium atoms using a Multi-GPU Monte Carlo Implementation. • Linux System Administration and HPC High Performance Computing BASH & Perl Scripting • Worked on the BIRS (A Bridge Image Fault Recognition Algorithm ) project during which we used Image Processing and Deep Learning Algorithms on Neural networks to learn on the identification of Faults, Cracks, Erosions etc. on images of Roads and Bridges . The results were promising but the project was cancelled because of lack of funds • Data Science (Big Data, Machine & Deep Learning, OpenCV, Tensorflow) 01/03/2013 – 28/02/2014 Rome, Italy RESEARCH ENGINEER BIOMATLAB CNR-IASI, UNIVERSITA CATOLICO DI ROMA (OSPEDALE DI GEMELLI ROMA) • Worked on different Mathematical models to resolve the problem of modeling the dynamics of the Immune system during and after a solid organ transplantation, taking into consideration the pharmacodynamics of different therapeutic drugs Immuno-supressants like "Cyclosporine" and "Thymoglobulin" at different doses during the Grafts lifespan which affect the dynamics of the Cellular and Humoral pathways of the Immune systems. The proposed model extends the Gaetano et al.'s model considering both the Cellular and Humoral Pathways. Some preliminary results of a numerical simulation are given proving that the model behaves as predicted by physical tacticians. • https://www.amazon.com/Modeling-Rejection-Immunity-proposed-Model/dp/- EDUCATION AND TRAINING 10/09/2011 – 27/09/2013 Hamburg - L'Aquila , Germany MASTER OF SCIENCE (M.SC.), MATHEMATICAL MODELING IN ENGINEERING Erasmus Mundus MATHMOD Joint Master Degree, Universität Hamburg Universita Degli Studi Dell’Aquila ▪ Mathematical Modelling and Simulation of Various Scientific fields ▪ Data Science (Machine Learning, Hadoop, R, pySpark, Microsoft Azure) ▪ Simulation Software (MATLAB, Matematica , Octav es R, C++ ▪ My thesis was in the field of Systems Biology on the topic An improved Mathematical model on Modeling Rejection Immunity for Solid Organ Transplantation Website www.mathmods.eu Field of study Mathematical Modeling in Engineering Final grade Grade: Second Class Lower Division 3.1/4 Type of credits 3 (language courses), 6 Level in EQF EQF level 7 National classification 7 Number of credits 132 Thesis An improved Mathematical model on Modeling Rejection Immunity for Solid Organ Transplantation Link https://drive.google.com/file/d/0B-LSUy4GofixLW1NMVk2TTNFdURSM1dzZ2NVUzg0MkUyeVNV/view? usp=sharing&resourcekey=0-fiQqcoVv_XDcDiDLK_KndQ 10/01/2010 – 20/12/2011 Abuja , Nigeria MASTER OF SCIENCE (M.SC.), COMPUTER SCIENCE AND ENGINEERING African University of Science and Technology • • • • • • • • Software Engineering ( Requirement Engineering , Design UML )), Implementation and Testing) Database Design ER Modelling )), Implementation and Ad ministration (ETL, JDBC, MySQL, Windows SQL Server) Application Development (Java, C++, QT5, C#) Web Application Development (JSP, JDBC, PHP, MySQL, JavaScript, HTML, CSS etc.) Computer Networks and Cloud Computing (Wireshark) Distributed Computing COBOL Hard w are Design and implementation (Altera Quartus II, CPLD & SoC Designs, Verilog $ VHDL) Artificial Intelligence ( Prolog , Lisp ) Website https://www.aust.edu.ng/ Field of study Computer Science and Engineering Final grade Grade: Second Class Upper Division 3.5/4 Level in EQF EQF level 7 National classification 7 Thesis Improved implementation of Information retrieval in Digital Library Information Systems Link https://drive.google.com/file/d/0B-LSUy4GofixdGc1dmM1T29HVVk0OWJOSzhqQTh3QUhkb1RV/view? usp=sharing&resourcekey=0-yTwf7tfbC-EIkmN5aOxHLg 10/09/2006 – 20/07/2009 Buea, Cameroon BACHELOR OF SCIENCE (B.SC.), MATHEMATICS AND COMPUTER SCIENCE University of Buea • • • • • • • • • • Software Engineering Database Design and Administration (MySQL Windows SQL Server) Application Development (C++, C) Real and Complex Analysis Measure theory Differential Equations and Simulations in MATLAB & C++ Probability and Statistical Theory and Simulation ( R Language) Set Theory, Linear Algebra, Group and Rings Theory Abstract Algebra and Fields , Rings and Modules Galois Theory Numerical Methods Octaves, MATLAB, Fortran Website https://www.ubuea.cm/ Field of study Mathematics and Computer Science Final grade Grade: Second Class Upper Division 3.7/4 Level in EQF EQF level 6 Type of credits 1 (language courses), 2(civic courses), 3 National classification 6 Number of credits 96 Link https://drive.google.com/file/d/0B-LSUy4GofixdWxOM29hWjhWUzdLV1NGOUFLT2RuTDlpN1d3/view? usp=sharing&resourcekey=0-Ru0o7k6YDscQSHxigLRQGQ LANGUAGE SKILLS Mother tongue(s): ENGLISH Other language(s): UNDERSTANDING SPEAKING WRITING Listening Reading Spoken production Spoken interaction FRENCH C2 C2 C2 C2 C2 ITALIAN B2 B2 B2 B2 B2 GERMAN A1 A1 A1 A1 A1 AKOSE (BAKOSSI) C1 C1 C1 C1 B1 Levels: A1 and A2: Basic user - B1 and B2: Independent user - C1 and C2: Proficient user DIGITAL SKILLS Microsoft Office package: Microsoft Word, Excel, PowerPoint, Access Proficient use of Latex and Beamer Message Queue: Apache Kafka, Rabbit Queue Streaming Tools: Apache Spark, Apache Kafka Streams, Apache Flink Reporting and Dashboard: Tableau, Google Looker ETL tools: Pentaho Data Integration, Apache Hop, Apache Airflow, Talend Open Studio, SSIS DBs: Snowflake, SQL SERVER, Oracle, Exasol GenAi & LLM : Snowflake Cortex, Ollama, OpenAI, Hugging Face Software Engineering Big Data Storage: MongoDB, Hadoop Project management : Jira Proficient user of MkDocs, DOxygen and Conflence for Sofware Documentation Programming Languages (C, C++, Fortran,R, Python, Java, Golang, Javascript,Typescript) Software IDEs: Eclipse, Pycharm, Intellij AI-ML Analytics, Data Engineering and Systems DevOps: git, GitLab CI-CD, Docker, Kubernetes, Jenkins, Prometheus DBs : Snowflake, SQLSERVER, Oracle, Exasol Big Data Analytics Techs: Spark, Flume, Kafka ETL Tools : Pentaho Data Integration, Apache Hop, Apache Airflow, Talend Open Studio, SSIS GenAI and LLM: Snowflake Cortex, Ollama, OpenAI, Langchain ML Frameworks : Tensorflow, Keras, Pytorch, Scikit Learn, Spark MLLib Reporting MANAGEMENT & LEADERSHIP SKILLS A.I. Team Lead • • • • • • A.I. project management. I have supervised a couple of Junior profiles and also interns in my various roles throughout my employment. Using the Scrum project management method with software such as Jira Preparing Requirement Documents with Clients. Handle different Sprint Meetings with Team members Using the Scrum project management method with software such as Jira, GitHub and GitLab COMMUNICATION AND INTERPERSONAL SKILLS Communication Skills Good Communication skills acquired through my experience as a graduate student and research assistant, in which I had to work in research groups and likewise presentations in seminars and conferences.