Professional Overview
I am an AI Trainer with 8 months of experience, specializing in LLMs, AI, and Machine Learning. I am now looking to transition into a developer role where I can apply my technical knowledge and growing development skills to build real-world AI solutions. I have hands-on experience developing AI chatbots, integrating APIs and API keys, and working w
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Delivered hands on training in AI, ML, and Python to students and learners.
- Conducted hands-on sessions on LLMs and prompt engineering.
- Guided students in building AI chatbots using Python.
- Helped students debug Python code and AI applications.
Key Achievements / KPIs
- Helped learners improve Python coding and problem-solving skills.
- Supported students in developing real-world AI applications.
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Delivered hands on training in AI, ML, and Python to students and learners.
- Conducted hands-on sessions on LLMs and prompt engineering.
- Guided students in building AI chatbots using Python.
- Helped students debug Python code and AI applications.
Key Achievements / KPIs
- Helped learners improve Python coding and problem-solving skills.
- Supported students in developing real-world AI applications.
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Delivered hands on training in AI, ML, and Python to students and learners.
- Conducted hands-on sessions on LLMs and prompt engineering.
- Guided students in building AI chatbots using Python.
- Helped students debug Python code and AI applications.
Key Achievements / KPIs
- Helped learners improve Python coding and problem-solving skills.
- Supported students in developing real-world AI applications.
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.
MLOps & AI Infrastructure
Architect scalable ML infrastructure — CI/CD for ML, model versioning, experiment tracking, monitoring, and cloud deployment on AWS, GCP, or Azure.