LLM Enterprise Chatbot & RAG
A retrieval-augmented support assistant deployed across 10K+ internal users, grounded in company documentation via FAISS.
$2.1M impact
Five years building and shipping production-grade machine learning systems — now bringing that execution to businesses through Malik's AI Consulting & Engineering.
I'm Muhammad Awais, an AI Project Managing Director with 5+ years building and shipping production-grade machine learning systems. I've directed $10M+ AI portfolios across the UK, USA, and Europe — leading teams of 35+ researchers and engineers.
From enterprise LLM integrations to graph neural network fraud detection preventing $1.8M in losses, my work lives in production, not in notebooks. I care about systems that hold up under real traffic, real data drift, and real business pressure — not demos that fall apart outside a sandbox.
Now, through Malik's AI Consulting & Engineering, I bring that same frontier-level execution to businesses in Pakistan and globally — with direct, founder-led delivery on every engagement.
From early ML engineering to directing frontier AI portfolios — every step shipped real systems.
Built early production ML pipelines and laid the foundation for enterprise model deployment practices.
Worked on AI-augmented SDK generation and developer tooling, shipping reinforcement-learning-assisted pipelines.
Directing enterprise AI portfolios and leading cross-functional teams of researchers and engineers on frontier model integrations.
Bringing frontier-level AI execution to businesses in Pakistan and globally — from strategy to shipped systems.
Eight systems, eight different problems — all shipped into production, all still running.
A retrieval-augmented support assistant deployed across 10K+ internal users, grounded in company documentation via FAISS.
A graph neural network scoring transactions in under 50ms, integrated directly into a core banking pipeline.
Automated extraction and classification across high-volume contract pipelines using a layout-aware transformer.
Sentiment and topic-discovery pipeline across Urdu, Arabic, and English, feeding executive dashboards daily.
An edge-deployed YOLOv8 model on NVIDIA Jetson catching manufacturing defects in real time.
A transformer-based time series forecasting pipeline deployed on Databricks with continuous retraining.
A high-availability semantic search layer powering a SaaS product's core search experience.
A reinforcement-learning-assisted pipeline generating and validating SDK code samples across languages.
Every engagement gives you direct access to Muhammad Awais — no account managers, no hand-offs.