Python, React and Laravel/PHP AI engineer building production RAG systems, LLM agents and automation products.
I deliver AI products where Python/FastAPI backends, React interfaces, Laravel/PHP production systems, retrieval, automation, and product execution meet.
- RAG platforms with document ingestion, embeddings, vector search, and grounded chat
- FastAPI backends, React dashboards, and API-first AI workflows
- Laravel/PHP AI packages, chatbot SaaS products, and business systems
- LLM agents, voice agents, n8n automations, and LangGraph-style orchestration
- AI-assisted technical delivery: requirements, architecture, review, testing, debugging, and shipping
| Project | Type | What It Shows |
|---|---|---|
| LarAI Kit / Packagist | Open-source package | Laravel-native RAG and AI agent toolkit with document ingestion, vector search, streaming chat, and multi-provider support |
| Trace-Bench Contributions | Open-source delivery | Benchmark runner delivery for LLM optimization workflows: CLI, artifacts, resume/timeout handling, Gradio UI, MLflow, TensorBoard, and validation notebooks |
| Heidi AI Case Study | Private-code product case study | Multi-tenant Laravel chatbot SaaS powered by LarAI Kit, documented through screenshots, product flow, and a public landing page |
| HighContext AI Case Study | Private-code product case study | Advanced RAG platform with namespaces, document ingestion, API access, memory, billing, and admin workflows |
| Roman Urdu Sentiment Analysis | Data science research | Master's thesis on a 50,000-review Roman Urdu sentiment dataset and hybrid 1D+2D CNN model |
| AI Portfolio | Portfolio hub | Modern portfolio for Python, React, Laravel/PHP and AI engineering work |
- Growing LarAI Kit as a practical Laravel AI ecosystem
- Publishing clean case studies for private production work without exposing source code
- Improving public proof around RAG platforms, chatbot SaaS, and AI-assisted delivery
- Writing more about production RAG, Laravel AI, and technical delivery workflows
| Area | Tools |
|---|---|
| AI and RAG | OpenAI, Anthropic, Gemini, LangChain, LangGraph, Pinecone, Qdrant, FAISS, pgvector, MLflow, TensorBoard |
| Python and AI Backends | Python, FastAPI, LangChain, LangGraph, OpenAI, Anthropic, Gemini, RAG APIs |
| React Product Interfaces | React, TypeScript, Vite, Redux, dashboards, admin panels, chat interfaces |
| Laravel and PHP | Laravel, PHP, CodeIgniter, package design, REST APIs, webhooks, queues |
| Data and Infra | MySQL, PostgreSQL, SQLite, Docker, AWS S3, Pinecone, Qdrant, pgvector |
| Automation and Integrations | n8n, Google Sheets API, WhatsApp Business API, Twilio, Stripe, Salesforce, Tableau, ClickUp, Acumatica |
I work AI-augmented. I use coding agents and AI assistants to move faster, but my value is not blind generation.
My role is to translate requirements, shape architecture, review output, test behavior, debug failures, manage Git/PR flow, communicate progress, and ship systems that meet real acceptance criteria.
That workflow is strongest for projects where the goal is delivery: RAG systems, AI product MVPs, automation, API integrations, and technical product execution.
- RAG chatbot platforms
- Python/FastAPI AI backends
- React dashboards and product interfaces
- Laravel/PHP AI packages and apps
- LLM agent and automation systems
- Private-code product case studies
- Technical delivery and AI-assisted implementation workflows
- LinkedIn: awais-asad-81b99b155
- GitHub: Awais-Asad
- Kaggle: engineerawais
- Email: awaisasadch1@gmail.com