Professional Overview
I’m a Computer Engineering graduate with hands-on experience in Prompt Engineering, LLMs, and AI-assisted software development. I have worked extensively with large language models to design, test, and refine prompts for code generation, debugging, refactoring, algorithmic problem solving, text analysis, and other software engineering tasks across Python, C#, Java, and JavaScript/TypeScript. I have experience working with Python libraries such as NumPy and Pandas for data processing and analysis. I have also used OpenAI APIs to build a specialized AI agent for text analysis. In this project, I designed detailed roles, instructions, constraints, and output requirements within prompts to control the agent's behavior and consistently produce the required, well-structured and well-formatted responses. My software engineering background in backend development, APIs, databases, algorithms, and software architecture allows me to understand, evaluate, debug, and improve AI-generated code and solutions. I’m particularly interested in LLM applications, prompt engineering, AI agents, AI-assisted programming, and building reliable AI systems that can solve specific problems consistently.
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Designed and refined prompts for LLMs across various tasks.
- Defined roles, instructions, and constraints to guide LLM responses.
- Used LLMs for code generation, debugging, and code refactoring.
- Applied LLMs to algorithms and software development tasks.
- Used Python with Pandas and NumPy for data processing and analysis.
Key Achievements / KPIs
- Applied Pandas and NumPy across multiple data analysis tasks.
- Built AI workflows that consistently returned structured outputs.
- Developed 10+ reusable prompt structures for technical tasks.
- Improved response consistency across repeated LLM evaluations.
Education
Field of Study: Computer Enginnering
Areas of Expertise
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
