I am a PhD-trained problem solver transitioning into software development, with a focus on Python, JavaScript, TypeScript, backend services, REST APIs, and full-stack web applications.
I build applications across the stack, from data models and APIs to user-facing interfaces and administrative panels. My recent work includes React and TypeScript applications, Node.js and Express backends, PostgreSQL and SQLite databases, authentication, and cloud deployment.
I also develop AI-powered solutions, including retrieval-augmented generation applications using Python, FastAPI, and LangChain. I enjoy building automation workflows, reusable data-processing scripts, and well-documented, reproducible systems.
My scientific research background has strengthened my analytical thinking, code quality standards, technical documentation, and ability to work with structured data. I hold a PhD in Biological Sciences and have experience in Python, R, bioinformatics, and biostatistical workflows.
I currently work in software development and AI training, contributing to client web and mobile applications, AI automation, code evaluation, and technical validation. I am continuously expanding my skills in AWS, CI/CD, Django, and Power BI.
I also bring more than five years of university teaching experience, where I communicated complex STEM concepts, mentored students, and developed strong presentation and stakeholder communication skills.
I build web pages and mobile applications for clients at an early-stage AI-focused startup, taking projects from design and data modeling through development and deployment.
I develop AI-powered automation solutions and integrate web applications and digital services for entrepreneurs, companies, and social-media influencers. I work across the stack using React, TypeScript, Node.js, and modern product-development practices.
I evaluate, execute, and optimize Python code used for large language model training in Google Colab. I identify bugs, logic flaws, and inconsistencies in technical solutions.
I design reference solutions and evaluation criteria for supervised and reinforcement-learning workflows. I also review structured JSON datasets and model outputs for technical accuracy and logical consistency.
I performed technical validation and quality assurance for AI-generated STEM content and annotation tasks.
I reviewed content for correctness, clarity, consistency, and alignment with technical requirements.
I developed reusable Python and R scripts to automate the processing and analysis of experimental datasets.
I built reproducible computational workflows using object-oriented code and contributed to scientific research, peer-reviewed publications, and conference presentations.
I delivered lectures and laboratory instruction for undergraduate and graduate biochemistry courses. I mentored students in quantitative reasoning, experimental design, and data interpretation.
I communicated complex technical concepts to audiences with diverse backgrounds, strengthening my documentation, presentation, and stakeholder communication skills.
University Programming Technician, Programming
In progress; expected completion in 2027.
Bachelor of Data Science, Data Science
In progress; expected completion in 2028.
PhD, Biological Sciences
Completed PhD in Biological Sciences. Conducted award-winning scientific research and authored peer-reviewed publications.
Bachelor's Degree, Biological Sciences
Completed bachelor's degree in Biological Sciences.
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