Skills
Skills & technologies
Skill areas
01
AI & Machine Learning
- Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG)
- AI Agents & Agent Orchestration
- Fine-tuning
- Prompt Design & Evaluation
- Embeddings & Vector Search
- PyTorch
- TensorFlow
02
Data Science
- Python
- pandas · NumPy
- SQL
- Statistics
- Machine Learning
- Deep Learning
- Time-Series Forecasting
- Apache Spark
- Apache Kafka
03
Software Engineering
- FastAPI · Flask
- REST APIs · Webhooks
- Docker
- Git
- Database Systems
- Third-party API Integration
04
Automation & AI Platforms
- n8n
- Power Automate
- Copilot Studio
05
Project Delivery
- Agile & Scrum
- Requirements Gathering
- Scoping & Estimation
- Stakeholder Management
- Jira · Confluence
Approach
How I work
-
01
Understand the problem
Before building, I make sure the technical solution addresses the actual business or user need.
-
02
Define how success is measured
A system should have a measurable outcome before it is optimized.
-
03
Build the baseline first
Start with a simple, reliable solution before adding unnecessary complexity.
-
04
Keep delivery transparent
Clear expectations, realistic timelines, and early communication make technical projects easier to deliver.
Day to day
How often I use them
Bars show how often each one is in hand, not a score out of ten.
Beyond Work
Chess
You are White
An engine, in your browser. No takebacks.
No moves yet.
I play chess for the same reason I like engineering: there is always another position to understand. Take a game if you like.
- Rating
- 1500+ · chess.com
- As White
- 1. e4, 2. Nf3. Nothing clever
- Playing since
- May 2024
Changing the opponent starts a new game. Ratings are approximate. Engine is Stockfish, GPL-3.0, running in your browser.