Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

I am Zaafir Rizwan, an AI Engineer with 3+ years of experience specializing in Large Language Models and MLOps. I build production-grade LLM solutions using PyTorch, Docker, and Kubernetes, with strength in Retrieval-Augmented Generation, fine-tuning, and scalable deployments. I thrive at the intersection of technology and business, translating complex AI capabilities into tangible value for cross-functional teams. My work spans end-to-end data pipelines, video analysis, recruitment analytics, and generative content workflows, and I am open to remote opportunities.…I am Zaafir Rizwan, an AI Engineer with 3+ years of experience specializing in Large Language Models and MLOps. I build production-grade LLM solutions using PyTorch, Docker, and Kubernetes, with strength in Retrieval-Augmented Generation, fine-tuning, and scalable deployments. I thrive at the intersection of technology and business, translating complex AI capabilities into tangible value for cross-functional teams. My work spans end-to-end data pipelines, video analysis, recruitment analytics, and generative content workflows, and I am open to remote opportunities.

Zaafir Rizwan

AI Engineer, Developer, AI Prompt Engineer, +7





I am Zaafir Rizwan, an AI Engineer with 3+ years of experience specializing in Large Language Models and MLOps. I build production-grade LLM solutions using PyTorch, Docker, and Kubernetes, with strength in Retrieval-Augmented Generation, fine-tuning, and scalable deployments. I thrive at the intersection of technology and business, translating complex AI capabilities into tangible value for cross-functional teams. My work spans end-to-end data pipelines, video analysis, recruitment analytics, and generative content workflows, and I am open to remote opportunities.…I am Zaafir Rizwan, an AI Engineer with 3+ years of experience specializing in Large Language Models and MLOps. I build production-grade LLM solutions using PyTorch, Docker, and Kubernetes, with strength in Retrieval-Augmented Generation, fine-tuning, and scalable deployments. I thrive at the intersection of technology and business, translating complex AI capabilities into tangible value for cross-functional teams. My work spans end-to-end data pipelines, video analysis, recruitment analytics, and generative content workflows, and I am open to remote opportunities.

Available to hire

I am Zaafir Rizwan, an AI Engineer with 3+ years of experience specializing in Large Language Models and MLOps. I build production-grade LLM solutions using PyTorch, Docker, and Kubernetes, with strength in Retrieval-Augmented Generation, fine-tuning, and scalable deployments.

I thrive at the intersection of technology and business, translating complex AI capabilities into tangible value for cross-functional teams. My work spans end-to-end data pipelines, video analysis, recruitment analytics, and generative content workflows, and I am open to remote opportunities.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Senior AI Engineer at Quest Lab

November 1, 2023 - October 15, 2025

Led the development of advanced video understanding AI leveraging Gemini’s multimodal capabilities for real-time analysis and content summarization. Architected ComfyUI solutions for image generation, editing, and video synthesis enabling flexible multimedia workflows. Engineered complex Retrieval-Augmented Generation (RAG) systems with custom training on organizational datasets to improve semantic search and retrieval precision. Designed autonomous AI agents with enhanced prompt engineering to achieve high-quality conversational task completions. Integrated Speech-to-Text and Text-to-Speech solutions with Whisper, OpenAI, and ElevenLabs APIs to launch voice-enabled features and improve product accessibility. Built scalable AI infrastructure with CI/CD pipelines, automated monitoring, and cloud cost optimizations ensuring high reliability. Spearheaded data engineering pipelines using Azure Data Factory to enable accurate time series forecasting in livestock management applications. D

AI Research Intern at Folio3

July 31, 2022 - August 26, 2025

Developed advanced computer vision models using PyTorch and OpenCV for an automated product tagging system that influenced the company’s AI strategy. Gained end-to-end experience in the machine learning workflow including data preprocessing, feature engineering, model experimentation, evaluation, and cloud-based deployment strategies. Provided technical leadership through model performance analysis and data-driven presentations, informing senior engineering decisions for ongoing AI initiatives.

Senior AI Engineer at Quest Lab (AI Startup)

October 1, 2025 - October 1, 2025

Architected advanced RAG and multimodal systems; fine-tuned compact language models for targeted applications; built an end-to-end Livestock Demand Forecasting pipeline via Azure Data Factory; implemented cutting-edge video analysis with Grounding DINO and Gemini for video understanding; developed AI-powered resume scoring and automated product visualization workflows.

AI Research Intern at Folio3

July 1, 2022 - July 1, 2022

Developed deep learning computer vision models with PyTorch and transformer architectures; implemented production-grade code practices and automated tagging systems; built end-to-end ML workflows and cloud deployments using MLOps best practices and containerized AI applications.

Senior AI Engineer at Quest Lab (AI Startup)

November 1, 2023 - October 1, 2025

Architected a sophisticated Retrieval-Augmented Generation (RAG) system capable of understanding both explicit and implicit knowledge from multimodal data sources. Fine-tuned compact language models for targeted business applications. Built end-to-end data pipelines (including livestock demand forecasting) and advanced video analysis using Grounding DINO, along with AI-driven recruitment and generative product visualization workflows. Delivered containerized deployments with Docker and Kubernetes, achieving 99.9% uptime and faster release cycles.