AI Application Engineer
Jawad Parvez
LLM, RAG & Full Stack Development
8+ years shipping production web apps, REST APIs, and cloud-native systems — now focused on LLM-powered applications, RAG pipelines, AI agents, and vector search.
Building reliable AI in production
AI Application Engineer and Full Stack Developer with 8+ years shipping production web applications, REST APIs, microservices, and cloud-native systems.
Specialist in LLM-powered applications: RAG pipelines, AI agents, tool calling, vector search, structured outputs, and prompt engineering using Python, FastAPI, LangChain, LangGraph, OpenAI, Claude, and Gemini.
Experienced deploying reliable AI features with Docker, AWS, CI/CD, and observability best practices.
Stack & expertise
RAG & Vector Search
LLM Evaluation & Observability
Backend & APIs
Databases & Cloud
Frontend & Security
Professional journey
AI Application Engineer
Independent Contractor
- Design and build LLM applications including RAG pipelines, AI agents, and vector search systems.
- Developed RAG knowledge assistant with pgvector, PostgreSQL, and OpenAI embeddings.
- Built multi-step AI agent workflows with tool calling and Redis-backed task queues.
- Delivered conversational support APIs with structured JSON outputs via OpenAI and Claude.
- Built vector search and LLM evaluation platforms with golden datasets and LLM-as-judge scoring.
Full Stack Developer
Admediary
- Developed scalable web apps using React, Node.js, Python, FastAPI, and PostgreSQL.
- Designed RESTful APIs and microservices with JWT-secured endpoints and real-time data sync.
- Implemented CI/CD with GitHub Actions, Docker, and AWS deployments.
Web Developer
Bisk
- Custom PHP and WordPress solutions with third-party REST API integrations.
- Responsive web interfaces using modern front-end practices.
PHP Laravel Developer
Data Device Corporation
- Enterprise Laravel apps with PostgreSQL, REST APIs, JWT, and OAuth integrations.
Laravel Developer
Geisinger — NIH Project
- Large-scale Laravel apps with Redis queues, CI/CD, Sentry, and Telescope.
UI/UX Developer
Pound and Grain
- Responsive UIs and interactive prototypes for marketing campaigns.
AI & LLM projects
Production-style demos — RAG, agents, support APIs, vector search, and evaluation.
LLM Knowledge Assistant
Document Q&A with pgvector, PostgreSQL, and OpenAI embeddings.
View on GitHub →AI Agent Workflow System
LangGraph agent with tool calling and Redis job queue.
View on GitHub →AI Customer Support Assistant
Structured ticket responses with OpenAI and Claude integrations.
View on GitHub →Vector Search Platform
Semantic search with pgvector, Pinecone, and Weaviate backends.
View on GitHub →LLM Evaluation Platform
Golden datasets, LLM-as-judge scoring, latency traces, and live web dashboard.
View on GitHub →Academic background
Bachelor of Computer Science
Illinois Institute of Technology · 2010 – 2014
Let's build something
Open to AI Application Engineer, LLM Engineer, and full stack AI roles — contract or full-time.