Available for global teams and remote collaboration
Hire Abaid Ullah for forward deployed engineering and AI systems.
I’m a Full Stack AI Software Engineer with experience building web, mobile and AI applications. I work across requirements, implementation, integrations, optimization and delivery. I have worked with international teams in the USA, Canada, Europe and Asia, including the UAE.
Explore how my experience connects to the roles below, then share your role description or product requirements.
Independent developer for businesses, agencies and product teams
I’m available to discuss independent software development, agency collaboration and engineering roles. I build web and mobile applications, AI integrations and backend systems, with work spanning requirements, implementation and production handoff.
For businesses and founders
Work directly with me as a solo developer or independent engineer on an MVP, customer-facing application, internal tool or automation. My experience includes commerce, CRM, scheduling and mobile ordering. Explore the business problems and project work.
For agencies
I’m open to supporting agency teams with React, Next.js, React Native, Python APIs and AI features. Share the client requirements, existing stack and delivery scope so we can discuss how my engineering contribution fits your team. Read about my full-stack delivery experience.
For teams hiring an AI developer or applied AI engineer
I connect AI capabilities with working applications: RAG assistants, GraphRAG, document workflows, conversational interfaces and multi-agent automation. My project experience includes The AutoBot, Planet AI, Twin Companion and Study Mind. Read my applied AI project stories.
For customer-facing engineering work
My forward deployed engineering interests connect requirements, integrations and production delivery. Snootme’s scheduling and communication integrations, and my CRM and automation work, show the kinds of implementation I handle. Explore my forward deployed engineering experience.
Forward Deployed Engineer
I connect client requirements with application development, integrations and production delivery. My work spans specifications, MVPs, staging, CI/CD and handoff.
Relevant work
At Snootme, I integrated calendar scheduling and communication features. At Summit Crew, I built APIs and CRM components using scenario-based MVPs and spec-driven development.
Skills I bring
Python, React, APIs, Nylas, workflow automation, AWS and CI/CD.
Solution Architect
My architecture experience includes application structure, secure hardware integration and release infrastructure. I combine architecture decisions with hands-on implementation.
Relevant work
For RussWorld, I architected blue/green deployments for updates without downtime. For Vlore, I implemented cryptographic CMAC authentication using NTAG 424 DNA. At Summit Crew, I refactored legacy handlers to reduce maintenance overhead.
Skills I bring
System design, APIs, SQL/NoSQL, Redis, Kubernetes, Docker, AWS and observability.
Technical Product Manager
I’m interested in technical product management roles that benefit from engineering delivery experience. My background includes leading web and mobile development and translating requirements into implementation scope.
Relevant work
At Shyft Digitally, I led web and mobile application development across four industries. At Summit Crew, I worked with scenario-based MVPs, specifications, Jira and Linear while delivering APIs and CRM components.
Skills I bring
Requirements, specifications, MVP scope, staging reviews, Jira, Linear and production handoff.
RAG Specialist
I work on retrieval-augmented generation and semantic information retrieval, with experience connecting retrieval pipelines to AI applications.
Relevant work
At Cybernef, I designed a Pinecone and LangChain RAG system that improved semantic retrieval accuracy. My work also included pytest coverage for retrieval pipelines.
Skills I bring
LlamaIndex, Haystack, LangChain, Pinecone, Qdrant, pgvector, hybrid search, reranking and RAGAS.
RAG Architect
My retrieval architecture experience includes GraphRAG, vector search and knowledge graphs. I connect those components with the application that uses retrieved information.
Relevant work
On The AutoBot, I worked on a full-stack AI assistant combining vector search and knowledge graphs, with GraphRAG and Neo4j identified in my project work.
Skills I bring
GraphRAG, knowledge graph RAG, Neo4j, Microsoft GraphRAG, document ingestion, ColPali and Unstructured.
AI Agent Architect
I work with multi-agent orchestration, stateful agent workflows and conversational applications. My broader hands-on toolkit includes tool integration and agent memory.
Relevant work
On Planet AI, I worked on a full-stack workflow builder using multi-agent orchestration. On Twin Companion, I handled frontend and AI integration for a conversational application with session memory.
Skills I bring
LangGraph, CrewAI, AutoGen, PydanticAI, MCP, FastMCP, Mem0 and browser-use.
LLMOps Engineer
My experience connects AI applications with retrieval testing, observability and production delivery. My toolkit includes model serving, evaluation and tracing.
Relevant work
At Cybernef, I worked on pytest coverage for retrieval pipelines and engine routing and configured observability tools. My wider delivery work includes AWS CI/CD and application monitoring.
Skills I bring
vLLM, Langfuse, Arize Phoenix, RAGAS, LangSmith, OpenTelemetry, Prometheus, Grafana, Docker and Kubernetes.
Discuss your team’s engineering needs
Send your role description, product goals, core stack, time-zone expectations and engagement type. We can discuss which parts of my experience are relevant to the work.