Mirza Omer B.

Expert AI Engineer | LLMs, RAG, Agents | SaaS MVP | PhD AI

Start your free trial today. Upgrade only when you're convinced. I've built AI systems that process 100,000 calls a day, NLP models used in cancer treatment planning, conversational AI deployed across enterprise voice and text channels, and agentic workflows running inside Fortune 500 operations. I'm Dr. Omer, PhD from the University of Waterloo, and formerly Senior Director of AI R&D at Afiniti, a global enterprise AI company whose outcome orchestration platform serves Fortune 500 clients across Telco, Financial Services, and Healthcare. That background shapes how I approach every project: I ask whether this is the right AI architecture for the real business problem, not just the most popular framework at the moment. Production AI systems I've built and led: 🎯 Afiniti Enterprise Contact Center AI — As Senior Director of AI R&D, led development of Afiniti's AI product suite: behavioral pairing systems matching agents to customers in real time, outcome orchestration engines, and intelligent automation deployed across Fortune 500 contact centers globally in Telco, FinTech, and Healthcare 🎯 Automated AI Evaluation at Scale — Etisalat / PTCL — Designed and deployed an AI-based near real-time contact center evaluation system processing 100,000+ calls per day — replacing manual QA at scale for one of the region's largest telecom operators (Etisalat holds a 26% stake in PTCL) 🎯 Conversational AI Systems — Built end-to-end conversational AI pipelines for enterprise clients across voice and text channels, covering multi-turn dialogue management, intent recognition, LLM-based response generation, and integration with CRM and ticketing systems 🎯 NLP Models for Cancer Treatment Planning — Developed NLP models supporting clinical oncology workflows — applied NLP at the intersection of language understanding and life-critical treatment decisions Where I'm most useful: → You're building an LLM-powered product and need the architecture designed before your team writes a line of code → You need a RAG system or AI chatbot that handles real user behavior — not just curated demos → You want n8n, Make, or Zapier automation connected intelligently to LLM workflows → Your contact center, healthcare, or operations team generates high-volume data that AI should be processing automatically → You need a senior technical opinion on AI architecture, model selection, or agentic system design What I build: ✅ LLM Application Development — GPT-4o, Claude, LLaMA, Mistral, Gemini, Ollama ✅ AI Chatbot Development — customer support bots, lead qualification bots, internal knowledge bots ✅ Conversational AI — multi-turn dialogue, intent recognition, slot filling, voice + text channels ✅ RAG Pipelines & Knowledge Systems — vector store design, chunking strategy, hybrid retrieval, evaluation ✅ Agentic AI & Multi-Agent Systems — LangGraph, CrewAI, AutoGen, tool-use agents, OpenClaw ✅ Workflow Automation — n8n, Make, Zapier, AI-connected automation pipelines ✅ Voice AI & Speech Systems — Vapi, Retell AI, Whisper, Deepgram, ElevenLabs, STT/TTS pipelines ✅ NLP Systems — text classification, NER, keyphrase extraction, summarization, clinical NLP ✅ Document AI — intelligent document processing, extraction pipelines, unstructured data handling ✅ Contact Center AI — automated call scoring, behavioral modeling, real-time agent assistance ✅ Healthcare AI — clinical document processing, treatment decision support, medical NER ✅ Fine-tuning & Optimization — LoRA, QLoRA, RLHF, DPO, prompt optimization, model evaluation Tech stack: LLMs & Agent Frameworks: GPT-4o · Claude API · LLaMA 3 · Mistral · Gemini · Ollama · LangChain · LangGraph · LlamaIndex · DSPy · HuggingFace Transformers · CrewAI · AutoGen · OpenClaw · Semantic Kernel Automation & Workflow: n8n · Make (Integromat) · Zapier · Webhook integrations · API orchestration · event-driven pipelines NLP & ML: PyTorch · TensorFlow · SpaCy · NLTK · Scikit-learn · Sentence Transformers · BERT · T5 · Whisper · OpenCV Voice & Conversational AI: Vapi · Retell AI · Whisper · Deepgram · ElevenLabs · Amazon Polly · RASA · Botpress · STT/TTS RAG & Vector Databases: Pinecone · Weaviate · ChromaDB · pgvector · FAISS · Qdrant · Milvus Fine-tuning & Evaluation: LoRA · QLoRA · RLHF · DPO · Axolotl · Unsloth · LangSmith · MLflow · RAGAS · TruLens Deployment & Infrastructure: Python · FastAPI · Flask · Docker · Kubernetes · AWS (SageMaker · Lambda · EC2) · GCP Vertex AI · Azure ML · Prometheus · Grafana [AI Engineer · AI Developer · LLM Developer · NLP Engineer · AI Consultant · Agentic AI · AI Agent Developer · LangChain Developer · LangGraph · RAG Developer · Retrieval Augmented Generation · AI Chatbot Developer · Conversational AI · Chatbot Development · AI Automation · Workflow Automation · n8n · n8n Developer · Make Automation · Zapier Integration · OpenClaw · OpenClaw Developer · Voice AI · Voice Agent · Contact Center AI · Healthcare AI }