AI Engineering
LLMs & AI Systems
Building RAG systems, AI agents, and fine-tuned models for production. Strong in prompt engineering, model deployment, and scalable AI solutions.
- RAG
- Agents
- Fine-tuning
- Prompt Engineering
- LLMs
- Python
- TypeScript
AI Engineer · Fullstack Developer · Emerging Scholar
I design and ship production AI systems, RAG pipelines, and full-stack products — and I'm actively learning through research on retrieval quality, embeddings, and practical LLM systems.
Core strengths across AI systems, full-stack engineering, and product design.
LLMs & AI Systems
Building RAG systems, AI agents, and fine-tuned models for production. Strong in prompt engineering, model deployment, and scalable AI solutions.
Frontend, Backend & DevOps
Shipping complete web applications from database to interface. Experienced with React, Next.js, Node.js, Laravel, Python, and modern cloud infrastructure including CI/CD and containerization.
Strategy, Scope & Delivery
Shaping products from problem to ship — defining scope, prioritizing features, aligning stakeholders, and turning ideas into clear roadmaps that engineering can execute.
A selection of shipped products — React, PWAs, AI systems, and production platforms. Many more live under client NDA or still in progress.
Property management for landlords — rent collection, tenants, payments, and reporting across multiple buildings. Currently in build.
Swipe to explore
Roles, teams, and systems shipped in production — the path behind the work above.
R&D · Deerwalk Institute of Technology
/Lead a 12-person R&D team delivering AI and full-stack products. Own model fine-tuning, prompt systems, and RAG pipelines for production use cases, while shipping end-to-end software and mentoring engineers on modern AI practices.

Freelance
/Partner with startups and businesses worldwide to design and ship production web apps. Deliver AI-integrated products, modern UI systems, and scalable backends — from first prototype through launch and iteration.

Aquiden Software
/Built full-stack applications across React frontends and Node.js / Laravel backends. Owned API design, SQL data models, and responsive interfaces for client products with reliable end-to-end delivery.

Peer-ready writing on RAG systems, retrieval quality, and practical AI on consumer hardware.
A controlled study of Retrieval-Augmented Generation (RAG) pipelines, comparing three chunk sizes (128, 256, 512 words) across three compact embedding models (BGE-small, E5-small, MiniLM). Measures indexing cost, retrieval quality (Recall@5), and end-to-end answer quality (F1, Exact Match) on a fixed SQuAD 1.1 benchmark with a local Llama 3.2 3B model, showing that larger chunks and retrieval-tuned embeddings tend to outperform common assumptions.
Client voice
Ason helped Music Jam Space take a real leap. Bookings run smoothly, musicians keep coming back, and we're getting international clients too. He didn't just ship a website — he boosted our business.
Ason built an exceptional website for PowerFlow — clean, fast, and exactly what we needed. His creativity, professionalism, and attention to detail made the whole process straightforward. If you're considering working with him, you're in good hands.
Ason delivered a custom ERP for our startup that transformed how we operate. He organized scattered workflows into one intuitive platform and iterated quickly on feedback. The result is a reliable system our team depends on every day.
Have an exciting project? Email or message me — I'll share availability and a clear next step.
let's build something worth shipping