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Hi, I’m Mohammed Talib, a Senior AI Engineer focused on designing secure, scalable GenAI and RAG microservices for legal, enterprise, and data-driven domains. I lead architecture and implementation efforts at Factor Law, building robust LLM pipelines, retrieval-augmented generation orchestration, and Azure-based data processing with asynchronous communication and secure authentication. I enjoy turning complex AI systems into reliable, production-grade solutions that scale and stay observable. I’m also a recognized thought leader and mentor—a LinkedIn AI Top Voice, guest lecturer, and content creator with 150+ technical blogs. I’m passionate about sharing best practices in AI system design, deployment, and observability, and I love helping engineers grow skills and ship impactful AI tooling.…Hi, I’m Mohammed Talib, a Senior AI Engineer focused on designing secure, scalable GenAI and RAG microservices for legal, enterprise, and data-driven domains. I lead architecture and implementation efforts at Factor Law, building robust LLM pipelines, retrieval-augmented generation orchestration, and Azure-based data processing with asynchronous communication and secure authentication. I enjoy turning complex AI systems into reliable, production-grade solutions that scale and stay observable. I’m also a recognized thought leader and mentor—a LinkedIn AI Top Voice, guest lecturer, and content creator with 150+ technical blogs. I’m passionate about sharing best practices in AI system design, deployment, and observability, and I love helping engineers grow skills and ship impactful AI tooling.

Mohammed Talib

AI Engineer, Full Stack Developer, Developer, +4

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Hi, I’m Mohammed Talib, a Senior AI Engineer focused on designing secure, scalable GenAI and RAG microservices for legal, enterprise, and data-driven domains. I lead architecture and implementation efforts at Factor Law, building robust LLM pipelines, retrieval-augmented generation orchestration, and Azure-based data processing with asynchronous communication and secure authentication. I enjoy turning complex AI systems into reliable, production-grade solutions that scale and stay observable. I’m also a recognized thought leader and mentor—a LinkedIn AI Top Voice, guest lecturer, and content creator with 150+ technical blogs. I’m passionate about sharing best practices in AI system design, deployment, and observability, and I love helping engineers grow skills and ship impactful AI tooling.…Hi, I’m Mohammed Talib, a Senior AI Engineer focused on designing secure, scalable GenAI and RAG microservices for legal, enterprise, and data-driven domains. I lead architecture and implementation efforts at Factor Law, building robust LLM pipelines, retrieval-augmented generation orchestration, and Azure-based data processing with asynchronous communication and secure authentication. I enjoy turning complex AI systems into reliable, production-grade solutions that scale and stay observable. I’m also a recognized thought leader and mentor—a LinkedIn AI Top Voice, guest lecturer, and content creator with 150+ technical blogs. I’m passionate about sharing best practices in AI system design, deployment, and observability, and I love helping engineers grow skills and ship impactful AI tooling.

Available to hire

Hi, I’m Mohammed Talib, a Senior AI Engineer focused on designing secure, scalable GenAI and RAG microservices for legal, enterprise, and data-driven domains. I lead architecture and implementation efforts at Factor Law, building robust LLM pipelines, retrieval-augmented generation orchestration, and Azure-based data processing with asynchronous communication and secure authentication. I enjoy turning complex AI systems into reliable, production-grade solutions that scale and stay observable.

I’m also a recognized thought leader and mentor—a LinkedIn AI Top Voice, guest lecturer, and content creator with 150+ technical blogs. I’m passionate about sharing best practices in AI system design, deployment, and observability, and I love helping engineers grow skills and ship impactful AI tooling.

Skills

Experience Level

Expert

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Language

Bashkir

Advanced

Work Experience

Sr AI Engineer at Factor Law

December 1, 2024 - Present

Leading the development of a scalable, production-grade RAG-based legal assistant using FastAPI, Azure AI Search, and Azure OpenAI. Designed LLM pipelines with LangChain and Azure Functions to process and index thousands of legal documents. Implemented prompt engineering strategies to improve accuracy and reduced hallucination in responses. Fine-tuned domain-specific LLMs using advanced techniques to enhance performance. Optimized document processing latency and cost through async batching and parallel execution. Built and deployed full-stack applications containerised with Docker and maintained CI/CD pipelines. Engaged with stakeholders for domain research and delivered technical workshops on legal AI integration.

AI and LLM Technologist at TheTin

November 30, 2024 - August 4, 2025

Developed prototypes for C-Suite executives using GPT-4 and LangChain under a multi-agent architecture. Compared performance of open source and commercial LLMs to deliver summarised real-time insights tailored to roles and industries. Created a RAG chatbot integrated within Microsoft Teams using Power Virtual Agents and Azure Bot Services, enhancing communication and decision-making workflows. Utilised Microsoft Document Intelligence and Azure AI Search to manage and query thousands of PDFs, deploying the chatbot via Azure Web App.

Natural Language Processing Intern at Data Glacier

September 30, 2024 - August 4, 2025

Conducted sentiment analysis on customer feedback and social media data with 87% accuracy. Developed transformer-based NLP models for resume classification achieving 95% accuracy. Deployed predictive models as APIs and integrated them into production systems, validating performance with Postman.

Senior AI Engineer at Factor Law

December 1, 2024 - Present

Leading development of a scalable, production-grade RAG-based legal assistant for internal legal teams, supporting dynamic prompt injection, metadata filtering, and hybrid vector-keyword retrieval across 50k+ documents. Researched and orchestrated robust retrieval pipelines using SPLADE, HNSW, BM25 and Hyde across thousands of legal documents. Implemented agentic strategies for function calling and semantic reranking to reduce hallucination, achieving a 32% improvement in context accuracy across key legal use cases. Finetuned domain-specific LLMs on custom legal corpora using LoRA, QLoRA, and PEFT in PyTorch/Transformers, boosting clause classification F1-score by 18%. Optimized a high-volume document processing engine, reducing latency by 95% and compute cost by 60% via async batching, parallel execution with Ray, and Azure Blob Storage streaming. Designed and deployed full-stack apps with FastAPI, PostgreSQL, Redis, and React; containerized with Docker; deployed via Azure Container R

AI and LLM Technologist at TheTin

October 1, 2023 - November 1, 2024

Developed a prototype for C-suite executives using OpenAI GPT-4 and LangChain in a multi-agent architecture. Assessed performance and cost across open-source models (Llama, Mistral) and commercial models (OpenAI, Claude). Delivered real-time, role-tailored summarized thought pieces for executives. Created a RAG chatbot for professional services integrated within Microsoft Teams, leveraging Power Virtual Agents and Azure Bot Services. Used Microsoft Document Intelligence for data structuring and Azure AI Search for chunking, indexing, and querying thousands of PDFs. Deployed the chatbot via Azure Web App to provide real-time project updates and enhance decision-making workflows.

Natural Language Processing Intern at Data Glacier

April 1, 2023 - September 1, 2024

Conducted sentiment analysis on customer feedback and social media data, achieving 87% accuracy. Developed NLP modeling tools to classify resumes using transformer-based models (BERT) on PyTorch, achieving 95% accuracy through transfer learning. Deployed predictive models via APIs and integrated them into production systems, validating performance with Postman and ensuring seamless operation.