Ahsan I.
Knowledge Graph & AI Architect | Neo4j, GraphRAG, LLM, Python | CTO
🏆 Enterprise AI & Knowledge Graph Architect | Neo4j · GraphRAG · LLM · ML · Kubernetes | Trusted by a Nasdaq-listed PCI-DSS fintech, HIPAA healthcare & a defence-award program. Secure, compliant AI at scale millions of users, billions in transactions. ✅ 11+ years shipping production AI systems at Enterprise Scale | Neo4j Certified | 100% Job Success Systems I’ve built power a Nasdaq fintech (3.1 billions in annual transactions), healthcare-AI platforms, and defence-grade infrastructure trusted by millions. I partner with enterprises and funded startups to design and ship knowledge graphs, GraphRAG pipelines, LLM-powered AI systems, and production-grade infrastructure that survive real users, real data, real compliance requirements, and real business workflows not demos. If your LLM hallucinates, your RAG can’t answer multi-hop questions, or your deployment doesn’t scale to millions of users and billions in transactions, a Neo4j knowledge graph + hardened DevOps architecture is usually the fix. I’m comfortable working across the org from hands-on engineering to advising engineering leadership, security/compliance stakeholders, and the C-suite on architecture, risk, and roadmap. 🔧 What I build for you: ⚡ Knowledge Graphs Neo4j, Cypher, ontology design, entity resolution, graph data modeling ⚡ GraphRAG & RAG Systems hybrid vector + graph retrieval, LangChain, LlamaIndex, embeddings, semantic search ⚡ LLM & AI Agents OpenClaw, OpenAI, Claude, Llama, multi-agent systems, prompt engineering, LangChain, LangGraph, chatbots grounded in your data ⚡ Data Science & ML Python, predictive modeling, NLP, recommendation engines, data pipelines ⚡ Production DevOps & Scaling Kubernetes, CI/CD (GitHub Actions, GitLab CI, Jenkins), Docker, microservices, auto-scaling ⚡ Enterprise Security & Compliance RBAC, audit trails, data governance, secrets management, high availability, regulated-industry deployments (fintech, HIPAA healthcare, defence) ⚡ Fractional CTO & Architecture technical roadmaps, architecture reviews, AI strategy, security posture, stakeholder & C-suite advisory, team leadership 🏢 Built for enterprise scale: My work runs in regulated, security-sensitive environments a Nasdaq-listed fintech under SEC oversight, a HIPAA-compliant healthcare platform, and a defence-award program. That means SLAs, uptime guarantees, access controls, audit logging, and a security-first approach are the default, not an afterthought. I integrate cleanly with existing enterprise stacks, procurement, and engineering teams. 🏅 Defence Innovation Award: Led the SAFER project recognized with a defence innovation award for hardened AI infrastructure. Built Kubernetes-native deployment pipelines with advanced security, CI/CD automation, and high-availability scaling. 💼 Selected work : ⚡ Engineered data infrastructure + DevOps architecture for a Nasdaq fintech processing 3.1 billions in annual transaction volume, serving millions of users with 99.99% uptime ⚡ Built AI systems + production infrastructure for a healthcare-AI platform 5.45× diagnostic accuracy, 50%+ fewer ER visits scaled across multiple cloud regions. raised ~$6.15M (PitchBook). ⚡ Contributed to a talent-discovery platform powering America’s Got Talent & American Idol discovery, scaled to millions of creators, later acquired for $7.4M ⚡ Delivered AI/ML engineering + Kubernetes deployment for a $2M-funded AI health coach (HealthKit, OpenAI/LangChain/LangGraph, auto-scaling infrastructure) ⚡ Architected training platform infrastructure serving millions of endurance athletes, trusted by elite coaches & pro cyclists (acquired & rebranded as major fitness ecosystem) 🧰 Tech stack: Neo4j · Cypher · GraphRAG · Knowledge Graphs · LangChain · LlamaIndex · Python · Large Language Models (LLM) · OpenAI · Claude · RAG · Vector Databases · Machine Learning · NLP · Data Science · Kubernetes · Docker · CI/CD · GitHub Actions · Jenkins · GitLab CI · AWS · GCP · Microservices · PostgreSQL · Redis · Kafka 🎯 Hire me when you need to: • Turn scattered data into a queryable Neo4j knowledge graph • Scale a basic RAG chatbot into an accurate GraphRAG system handling millions of queries • Deploy LLM features on Kubernetes with CI/CD and zero-downtime updates • Ship AI into a regulated or security-sensitive environment (fintech, healthcare, defence) with the compliance and controls your team requires • Get Fractional CTO guidance on AI architecture, graph design, infrastructure scaling, or security posture 📞 Free 20-min architecture review message me and let’s map your graph. I reply within a few hours.
Earnings and projects
Last 6 months ÷ 6
Last 6 months: $17k
Billed in all: $22,564$23k
$8.6k in the last 6 months
Earnings, last 30 days
Skill rankings: #1 in 1 skill of 20
Rarest: top 5% in Data Science, of 3,842. Ranked by MRR among everyone on Upwork with the skill.
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