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. Open any case study 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.
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.