Jahanzaib A.

Solution Architect & AI Engineer | Python, Django, React, LLM, RAG

I design and deliver production software end-to-end — architecture, backend, front end, mobile, and the AI layer on top — and I own the outcome rather than a queue of tickets. Ten years of professional engineering. On Upwork: 60+ delivered projects, 2,400+ hours, $ 200k earned, a 5.0 rating across 61 reviews, and Top Rated Plus status. My longest engagement ran two and a half years embedded with a founding team. I work with founders, CTOs, and small engineering teams to take products from concept to production, and to modernize systems that have outgrown the design they were built on. I take end-to-end ownership: domain modeling, database and API design, service boundaries, authentication and role-based permissions, then implementation across web and mobile through to production deployment. I deliver REST APIs, multi-tenant SaaS platforms, operations and admin dashboards, cross-platform mobile applications, and real-time systems. I have led and mentored small development teams through this process, and delivered the same scope alone. My backend work is Python-first: Django, Django REST Framework, FastAPI, and Flask, with Node.js and Express where the workload suits it. PostgreSQL is my default data store, and I treat schema design, indexing, and query performance as architectural concerns rather than later optimizations. Redis and Celery handle caching, queuing, and background processing. Deployment runs through Docker on AWS and Google Cloud Platform with automated CI/CD. On the client side, I work with React, Next.js, TypeScript, and React Native, with Angular and Vue.js in earlier projects. For real-time systems, I build over WebSockets with Django Channels and SocketIO, where connection state, message ordering, and backpressure decide whether the platform holds under load. I build AI applications on the OpenAI and Anthropic APIs: conversational assistants, document ingestion, retrieval-augmented generation, semantic search over embeddings with pgvector, and workflow automation. My focus is the engineering that determines whether an AI feature survives production — grounding answers in sources the user can verify, defining behavior when retrieval returns weak results, and holding latency and token cost inside a budget the business can sustain. I will state plainly when a well-indexed query or a rules engine will outperform a language model. Integrations span Stripe, Apple Pay, and PayPal for payments and subscription billing; Mapbox and OpenLayers for mapping, GIS, and live GPS tracking; REST and GraphQL APIs; and OAuth2 authentication. Domains delivered: health technology, including a clinical scoring engine that combines a validated diagnostic instrument with automated audio analysis; B2B compliance and safety training SaaS with per-company billing and automated certification issuance; transport and logistics booking with live fleet tracking; AI media platforms serving interactive video agents; publishing and authoring tools; and consumer mobile applications with computer-vision scoring. Clients cite the same qualities across my reviews: clear communication, updates before they have to ask, code the next developer can read, and technical risk raised early, while it is still cheap to fix. Services: - Solution architecture, system design, and codebase or architecture review - Full-stack web and mobile products, and production-ready MVPs - AI features on OpenAI and Anthropic APIs: assistants, RAG, semantic search, workflow automation - Django, DRF, and FastAPI backends with REST API design - React, Next.js, and React Native applications - Real-time systems over WebSockets, Django Channels, and SocketIO - Payments and subscription billing: Stripe, Apple Pay, PayPal - GIS, mapping, and live GPS tracking features - Fractional tech-lead work and mentoring small development teams Tech Stack: - Backend: Python, Django, Django REST Framework, FastAPI, Flask, Node.js, Express.js, Celery - Frontend and Mobile: React, Next.js, TypeScript, React Native, Angular, Vue.js, Redux - AI: OpenAI API, Anthropic (Claude) API, LLM integration, RAG, embeddings, pgvector, semantic search, prompt design, AI assistants - Data: PostgreSQL, MySQL, Redis, query optimization - Real-time: WebSockets, Django Channels, SocketIO - Cloud and DevOps: AWS, Google Cloud Platform, Docker, Nginx, Linux, CI/CD - Integrations: Stripe, Apple Pay, PayPal, Mapbox, OpenLayers, REST, GraphQL, OAuth2 - Architecture: multi-tenant SaaS, API-first design, RBAC, background jobs, async programming, Agile - Tools: Git, GitHub, GitLab, Bitbucket, Postman If you are scoping a new product, scaling one that is under strain, or weighing an architectural decision you will live with for years, send me a short description of the project and the main open question in front of you. I will reply with how I would approach it — including when the correct answer is a simpler solution than the one you are considering.