the Enzmenn Archive. My primary responsibility has been the construction of a graph knowledge base usingLarge Language Models (LLMs) and Neo4j. I implemented continuous data extraction and integrationprocesses to keep the knowledge base updated with new information from archive files. Additionally, Ideveloped automated workflows to ensure real-time updates and accuracy of the knowledge base. LeveragingLLMs, I enhanced the system's capabilities to generate summaries, answer questions, and facilitate thediscovery of archived information. My role also involved ongoing research to improve the efficiency andcapabilities of the GenAI stack. Collaborating closely with cross-functional teams, I ensured the successfuldeployment and maintenance of the system. This project utilized technologies such as Large Language Models(LLMs), Neo4j, and various data integration tools. Key achievements include the successful construction anddeployment of a scalable GenAI stack, improved data accessibility and usability, and streamlined processesfor maintaining high data accuracy and relevance.

I am engaged as a specialized contractor for various pharmaceutical companies, where I leverage my expertisein advanced data analysis and software development to drive impactful projects. In my role, I proficientlyutilize Python, a versatile programming language known for its efficacy in data manipulation and analysis.Alongside Python, I employ Dataiku, a cutting-edge data science platform that facilitates seamless integrationand collaboration across data projects.My work also involves the use of Snowflake, a powerful cloud-based data warehousing solution, enabling meto efficiently manage and analyze large volumes of complex data.In tandem with Python, I employ Dataiku, an innovative data science platform that not only facilitatesseamless data integration and collaborative project management but also supports sophisticated ML modeldevelopment and deployment.

At ShareASale we had legacy software that had to be update to run on cloud infrastructure and new software tocreate to keep the company competitive in the market. We where researching the application for LLM (Large LanguageModel) for speeding customer service times and satisfaction. Data warehouse and data-mart in python for cloudapplications. Maintained and developed applications using ColdFusion, NodeJS, PHP, and React. Maintained application in python for data warehouse interrogation Updated and maintained application plugins for WordPress, Shopify, and other content management systems. Responsible for research and application design for LLM possibility in ShareASale Sass offering. Prototype applications, in python for integrating AI APIs like ChatGPT and Google Bard and LLM's Transitioned functions from monolithic applications to Python and Node Lambda using AWS Gateway for APIconsolidation.

I wrote software that save hundreds of hours for labor of the chemist, by automation of repetitive task likeimages generation of molecular drawings. Automating Standard selection from hundred for possible standards for resultbatches of compounds. Designed and updated software to enhance qualitative and quantitative testing analytics. Developed APIs in Node.js / Express, connecting MS databases and various applications. Wrote Stored procedures in SQL database to implement chemical algorithm for identifying ionization patterns Created a Python application with Rdkit for Chem-informatics, facilitating chemical analysis. Integrated inter-business systems for billing and sample tracking through Clickup.com API. Utilized VBA to update Excel spreadsheets and migrate data to databases for report generation.

At Dassault I work on hundreds for application both front-end, back-end as programmer, architect and projectorlead. I have been involved in all aspects for software development and decision process. I have been know in my teamas a person enjoy solving problems and learning new ideas. Designed data models and front-end UI/UX in React or Vue and developed back-end systems for various internaland external software. Formulated maintenance plans for front-end and back-end systems to align with business requirements, productdevelopment, and sales. Employed Python for computer service automation and maintenance. Migrated monolithic applications to Python and Node Lambdas, streamlining services with AWS Gateway

Design a path to upgraded their company-wide request help applications. Integrated XML communication with third party support companies. Updated and expanded LDAP active directory single sign on and authentication. Used multiple data-sources including Oracle, Access and MSSQL.

Added new functionalities in to existing framework creating ColdFusion components and XML Web Services. Troubleshot bugs reports from existing live application.

Upgraded application to meet changing business needs. Rewrote and upgraded SQL from Access database to MS SQL server 2005. Installed and configured SharePoint server and portal. Created Dashboard Application for upper management of EMC.

Worked on the next release of their web site www.Bostonrealestate.com . Automated data acquisition from sources for different data schema into one useful view . Developed custom office software for unique business needs. Saved the company 50% a month by moving the website to a more appropriate server location. Greatly improved web site’s search engine position by dynamically generating static pages nightly to multiple sites. Wrote SQL DTS and stored procedures to keep data integrity across multiple databases.

Taught a thirty-six hour SQL Server development course. Taught database and system design for business needs.

Astex: Microwave Induced coupled plasma researchPolaroid: Production development of digital cameraThermo-Analytical: Analytical chemistConam labs: Analytical chemist

Analytical Chemist using GCMS