AI-powered solutions for complex problems.
I'm Abdul Wahab — a full-stack AI/ML engineer who turns research-grade ideas into production systems: fine-tuned LLMs, agentic workflows and cloud data pipelines that actually ship.
A perpetual learner, building at the edge of AI.
I build AI systems end to end — from distributed data pipelines and model fine-tuning to the React front ends people actually touch. I'm happiest in the gap between a research paper and a shipped product.
Right now I'm a Data Engineer at BisViews, building cost-optimized, multilayered ingestion pipelines and the validation systems that keep data trustworthy at scale, while building two AI products on the side. I treat every project as a chance to learn something I didn't know last month.
AI / Machine Learning
LLM fine-tuning, RAG, agentic systems, computer vision and classical ML.
Data Engineering
Large-scale processing, distributed Spark jobs and automated quality pipelines.
Cloud & DevOps
AWS (EC2, EMR, S3), Docker, Kubernetes and CI/CD with Jenkins.
Full-Stack
React & TypeScript front ends on FastAPI, Flask and Django backends.
Six systems I designed, built and shipped.
From distributed ML on AWS to LLM agents and data pipelines at scale. Scroll to move through each case study — open any for the full breakdown.
Two AI products in active development.
Side projects where I get to chase ideas end to end — product, agents and infrastructure.
OutreachRocket
An AI-powered cold-email platform that personalises and scales outreach campaigns — drafting, sequencing and adapting messaging per recipient with LLMs in the loop.
DashpilotAI
Natural-language Power BI report generation. A chat interface routes to specialised sub-agents — each owning a slice of the data-analysis and visualisation workflow — to build dashboards from a sentence.
The stack I reach for.
Scroll to glide across the toolkit — one group slides through at a time.
Languages
ML & Data
Frameworks
Tools & Cloud
Experience & education.
Data Engineer
- Built multilayered ingestion that drains free sources (Nominatim, open data) before falling back to paid APIs like Google Places — minimising cost per record.
- Engineered data-quality validation pipelines that catch and correct issues automatically, keeping records trustworthy at scale.
- Processed 50,000+ records across 10+ European countries since February 2026.
BS, Computer Science
- Coursework across algorithms, distributed systems, machine learning and software engineering.
- Self-directed focus on applied AI — LLM fine-tuning, agentic systems and cloud deployment.
Ready to build AI solutions together?
I'm always up for hard problems in AI, ML and data engineering. If you're building something interesting, let's talk.