AI Systems &
Engineering
I'm Aamir Khan, a fullstack engineer building agent pipelines, retrieval systems and the products around them at Metasense Technologies. Outside work, I teach modern web practice.
Muhammad Aamir Khan, Sr. Fullstack AI Engineer. I buildAI systemsthat ship.
Not a model, a system.
Because the model is the easy part.
Muhammad Aamir Khan
Works
Good systems answer. Great systems show their sources.
Cleartraced
AI ESG and financial data extraction
AI data platform
Explore2026LookAtlas
AI virtual product studio
Generative studio
Explore2026Morph AI
Every model, one subscription
Mobile AI app
Explore2026Fitdyz AI
AI workouts, diets and a coach that knows your plan
Mobile AI app
Explore2026HiredSwift
Human powered job applications
Web platform
Explore2026
( The step aside )
I am a fullstack engineer in Peshawar who builds AI products end to end. The interesting part of AI is rarely the model. It is the system around it: retrieval that keeps answers grounded, queues that absorb heavy generation, schemas that stay consistent at ten thousand requests a day.
Lately that has meant agent pipelines that read corporate disclosures for banks, a generative studio that replaces product photoshoots, and a multi-model AI app that crossed a thousand downloads on the Play Store. Before that, ERPs, hotel backends and TV art apps for LG and Samsung. Along the way I taught modern web development and industry practice to more than twenty students.BS Software Engineering / UST Bannu, KPK, Pakistan

- 200msVerifiedMetasense Technologies, ESG climate tracker backend, measured under 10,000 daily requests.
- Average API response after the rework
- 50+VerifiedMetasense Technologies, Sweden-based ESG climate tracker.
- Corporate clients on the ESG tracker
- 300+VerifiedCleartraced extractor agents, production pipeline.
- Fields extracted per company
- 20+Self-reportedSelf-reported teaching record.
- Students taught modern web practice
Index
What I build, where I built it, and what I wrote down along the way.
Capabilities / 05
- CapabilityAgent systemsCrawler fleets, extractor agents and orchestration layers that route work to whichever model suits the task. Multi-provider by design, so no single vendor owns the product.LangChain / LangGraph / OpenAI / Claude / Gemini
- CapabilityRetrieval pipelinesAssistants that answer from your data instead of guessing. Embeddings, vector search and context management tuned until the model stays grounded in what is true.RAG / Chroma / Pinecone / FAISS
- CapabilityRealtime and async backendsWebSocket rooms, queue-based processing and caching layers that keep APIs fast while heavy AI work runs in the background.WebSockets / Redis / BullMQ / PostgreSQL / Prisma
- CapabilityFull-stack productsMulti-role platforms, dashboards and subscription systems carried from first schema to production deploy, with the boring parts done properly.Next.js / TypeScript / Stripe / Tailwind CSS
- CapabilityMobile AI appsCross-platform apps with OTA updates and store release pipelines. AI features included, performance budgets respected.Expo React Native / Redux / Play Store / App Store
Experience / 02
- RoleFull Stack Developer, Metasense TechnologiesPeshawarEngineered the backend for a Sweden-based ESG climate tracker now reaching 50+ corporate clients. Cut average response times from 800ms to 200ms under 10,000 daily requests by reworking schemas and caching layers. Built Liquid Canvas art apps for LG and Samsung TVs, lifting viewer engagement by 30%.Dec 2024 / Present
- RoleFull Stack Web Developer, Devsort ServicesIslamabadLed an ERP and point-of-sale build that cut manual entry errors by 45%. Architected a hotel management backend supporting 1,200+ daily reservations. Mentored three junior developers and helped cut bug resolution from 48 hours to under 12.Jul 2024 / Nov 2024
Certified: IBM RAG and Agentic AI, Coursera / Edureka CI/CD, Automation and Monitoring, Coursera / JavaScript Intermediate, HackerRank / Overcoming Your Fear of Public Speaking, LinkedIn Learning