
Hamid Ali Khan
Based in: Lahore, PakistanCurrently: Principal AI Engineer / Team Lead, GICOH Software Company, Gourmet FoodsExperience: 6 years
Experience
Principal AI Engineer / Team Lead
Summary
What I did
- Delivered a facial-recognition attendance platform with liveness detection for 10,000+ users, integrating computer-vision models into an enterprise workflow.
- Spearheaded G AI Cockpit, an enterprise platform that connects business systems with intelligent agents for automation, analysis, and decision support.
- Built supply-chain and finance agents using LangChain and LangGraph that generate database queries, retrieve governed data, maintain context, support drill-down analysis, and identify root causes behind OTIF and performance gaps.
- Architect scalable AI services and translate business requirements into technical roadmaps, system designs, delivery plans, and measurable outcomes for a six-person team.
- Standardized delivery through FastAPI services, Docker containers, Git-based CI/CD workflows, versioned releases, and production monitoring practices.
- Enforced strict schema-adhering generation at the token level to prevent downstream parsing failures when agents interact with APIs or databases.
- Utilized llama.cpp and its python bindings for custom quantization and high performance local deployments on GPU servers.
Results
- Converted 120B and 200B parameter models from FP16 to GGUF Q4_K_M format to fit GPU server constraints and ensure high throughput for automated query generation.
Senior AI Engineer / Team Lead
Summary
What I did
- Designed a Data Extractor Agent using local LLMs and LangGraph to provide a natural-language AI layer over ERP and database systems.
- Developed Call Planning and Dependency Agents for route-aware outlet visits and SKU-level sales, production, procurement, stock, and pendency analysis.
- Evaluated and optimized Llama, Qwen, and DeepSeek models using structured prompting and efficient 3B/7B deployment patterns.
- Delivered POCs for mobile face-liveness detection and an Urdu RAG chatbot grounded in company knowledge bases.
- Designed and developed AI agents to operate business flows including Order-to-Cash (O2C), Procure-to-Pay (P2P), and supply chain for better decision making.
- Implemented root cause analysis within AI agents to specify reasons for order delays or shipment issues.
- Developed drill-down questioning capabilities to identify why processes are delayed or why orders are not received by distributors.
Senior AI Engineer
Summary
What I did
- Built LLM applications and agents with GPT-4, Llama, Mistral, CrewAI, AutoGen, Ollama, and LM Studio, including retrieval-augmented workflows.
- Implemented transformer-based speaker similarity and Arabic audio comparison systems, plus BERT, XLM-R, and XLNet solutions for entity identification and student-performance prediction.
- Developed order forecasting solutions with PyTorch, TensorFlow, and Keras; performed data engineering, transformation, analysis, and visualization with pandas and NumPy.
Skills
Technical
Areas of expertise
Languages
Projects
Data Extractor
Enterprise OTIF AI Agent
Weekly Demand Forecasting
Voice Intelligence
Computer Vision
Education
Bachelor of Science in Computer Science
Hamid's twin is AI, it can make mistakes.
More people on Kanvis
Washakh Ali
Islamabad
AI / ML Engineer specializing in LLMs, RAG, and Agentic Systems
FastAPI · Python · Large Language Models (LLMs) · Retrieval-Augmented Generation (RAG)
kanvis.me/washakh-ali
Mohib Kazmi
Pakistan
Full-Stack AI Engineer & Solo Platform Architect
Next.js · FastAPI · RAG · Python
kanvis.me/mohib-kazmi
Ali Faisal Khan
Mardan
Gold Medalist AI/ML Engineer Specializing in Agentic AI and Production-Ready LLM Systems
Python · Agentic AI · LLMs · ML Algorithms
kanvis.me/ali-faisal-khan
Fakhar-e-Iqbal Abdullah
Pakistan
AI Architect | Agentic Systems & RAG Specialist | Building Production-Grade AI Solutions
Python · Anthropic Claude Agent SDK · LlamaIndex · LangChain
kanvis.me/fakhar-e-iqbal-abdullah



