What We Do
Software Engineering
Full‑Stack & Scientific Software
- Design and implement web applications and APIs.
- Develop scientific and data‑processing pipelines.
- Integrate legacy scientific tools into modern systems.
Python
JavaScript / TypeScript
REST APIs
Linux
Chemistry & Materials
Computational & Analytical Chemistry
- Computational workflows for materials and molecular design.
- Data analysis and visualization for experimental results.
- Custom tools for lab, process, and R&D environments.
Computational Chemistry
Materials Science
Scientific Data
AI & Data
Applied Machine Learning & Automation
- Build ML models for prediction, optimization, and classification.
- Use modern AI tooling to automate repetitive analysis tasks.
- Help teams evaluate where AI makes sense (and where it doesn’t).
Machine Learning
Data Pipelines
MLOps Basics
Experimentation
Advisory
Technical Strategy
- Translate scientific and business goals into technical roadmaps.
- Prototype quickly, then harden into maintainable systems.
- Mentor teams on best practices in scientific software.
Selected Experience
Embedded Systems & Hardware-Adjacent Software
Experience building, debugging, and integrating software that runs close to the metal.
- Developed and maintained embedded firmware for resource‑constrained devices.
- Worked with low‑level interfaces (GPIO, I²C, SPI, UART) to connect sensors and peripherals.
- Integrated embedded systems with higher‑level services and data pipelines.
- Used C/C++ and Python tooling to test, automate, and validate embedded functionality.
Embedded Systems
Firmware
C / C++
Python Tooling
Microcontrollers
Hardware Interfaces
Software & Scientific Computing
Roles in software development, data engineering, and scientific programming.
- Designed and implemented production‑quality software for scientific and business use‑cases.
- Built data‑processing tools to transform raw lab or process data into clean, usable datasets.
- Automated repetitive scientific analyses and report generation.
Chemistry, Materials & Research
Formal training and hands‑on work across chemistry and related disciplines.
- Background in chemistry and materials science applied to real‑world projects.
- Experience working with experimental data and computational models together.
- Comfortable bridging chemistry domain knowledge with modern software tools.
AI, Machine Learning & Data
Modern AI tools applied to scientific and business problems.
- Prototyped and evaluated ML models for prediction and classification tasks.
- Built scripts and services that combine traditional code with AI APIs.
- Focused on clear evaluation and reproducible workflows.
Technical Focus
Languages & Tools
Python
JavaScript
HTML / CSS
Bash
Git
Linux
MacOS
iOS
nginx
C
Swift
Java
Domains
Scientific Computing
Computational Chemistry
Materials Science
Data Analysis
Machine Learning
Web Applications
Work With Me
If you need someone who can speak both “code” and “chemistry”, and who can bring AI and automation into that mix in a practical way, we’d be happy to talk.
Email: nf@fantasketech.com