Professional Overview
M2 Artificial Intelligence student with experience in Python, PyTorch, backend development, APIs, and AI-powered applications. I’m particularly interested in LLMs, prompt engineering, and AI automation, and I’m looking for a flexible part-time remote role where I can apply and strengthen these skills.
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Built full-stack web applications tailored to client requirements
- Developed backend APIs and integrated third-party services
- Automated workflows and business processes using Python
- Deployed and maintained applications using Docker and cloud services
- Managed projects independently from requirements to delivery
Key Achievements / KPIs
- Delivered multiple client projects from design to production
- Reduced manual work through custom automation solutions
- Improved application reliability and deployment workflows
Education
Field of Study: Artificial Intelligence, Human-Machine Interaction, 3D Modeling
Field of Study: Computer Science, Mathematics and Statistics
Areas of Expertise
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
