As a member of the ValueChainOS product team, I'm responsible for backend development using Python. My focus is on enhancing product automation by creating and maintaining essential tools such as our ORM for interfacing with GraphQL and APIs for data sharing and connectivity using TypeScript and Elixir. Additionally, I develop interfaces to address mathematical optimization problems, creating or updating constraints for supported problems. I work on generalizing internal packages to streamline product implementation and reduce workload and complexity, such as creating custom workers for running tasks using multi-threading and reporting the current state of tasks to other interfaces within the company.

Developed mechanisms for monitoring and evaluating diverse data sets from both clients and our product, such as identifying cases where an invalid parameter is received or detecting client-reported errors stemming from product usage, in order to provide corrective recommendations. Designed and executed tailored functions for clients, focusing on data cleaning techniques and preprocessing approaches that include analyses and data evaluations. Designed unit tests for the implementations that maintain a test coverage of at least 90% for the implementation. Created tools using Python to address company challenges by establishing links between the backend, frontend, and client services, particularly to resolve issues like data transmission failures.

Developed simulations of various materials to understand their behavior and analyze their reactions using molecular dynamics techniques, programmed in Python and LAMMPS. Improved the results and execution time of simulations using optimization techniques such as gradient methods. Utilized Python for the creation and manipulation of nanostructures, as well as for data analysis and prediction of changes. Leveraged HPC (High-Performance Computing) clusters to optimize the computational efficiency of simulations.