Senior full-stack engineer with 6+ years of experience delivering high-scale APIs, multimodal search, RAG pipelines, and production cloud infrastructure.
I’m Abdul Moiz, a full-stack and applied AI engineer with 6+ years of experience building production platforms, backend systems, and AI products.
Contributed to platforms serving over 1.5M users and currently Lead Product Engineer at iNeuron, helping teams build focused AI features and scalable software.
Select the simplest architecture that cleanly solves the problem and scales comfortably.
Ground AI capabilities in structured retrieval, evaluations, and real product operations.
Deliver clear milestones with reviewable code, benchmarked latency, and clear documentation.
Write type-safe, maintainable code backed by automated deployments and health metrics.
Production systems and product engineering contributions across applied AI, full-stack platforms, and backend infrastructure.
Engineered Apollo GraphQL APIs, Redis caching, BullMQ event processing, and Elasticsearch retrieval across multiple backend services on GCP Cloud Run. Reduced API response times from 5-6s down to 1-2s.
Built multimodal RAG and visual search pipelines with PyTorch vision embeddings, Supabase/PgVector, and FastAPI microservices for real-time catalog discovery.
Designed full-stack marketplace architecture supporting interactive Mapbox navigation, PostGIS spatial indexing, Redis query caching, and Stripe payment workflows.
Developed an automated ingestion pipeline using structured LLM extraction, OCR, and audit trails linking extracted data back to exact PDF source coordinates.
Architected background ingestion pipelines for medical devices, field-level database encryption for PHI data, and encrypted Twilio consultation channels.
Built async FastAPI microservices and OpenAI prompt pipelines that transform OAuth social signals into personalized multi-day travel itineraries.
Grouped by verified outcome and production experience.
Connecting intelligent models to reliable software workflows.
Designing performance-critical, scalable server architecture.
Building end-to-end web applications with clean user interfaces.
Deploying and maintaining maintainable production environments.
I am Lead Product Engineer at iNeuron, an AI and software product studio. We lead technical discovery, architecture, and production engineering across applied AI, full-stack, and backend engagements.
Provides commercial engagement options, studio delivery teams, and fixed-scope product packages.
Share what you are building, where the technical challenge sits, and what kind of support you need.