Sufyan A
AI Automation Engineer
Habilidades

Revisa mis servicios


Porfolio
Experiencia laboral
Ai Engineer
Tzone • Tiempo completo
Mar 2024 - Feb 2026 • 1 yr 11 mos
Designed, developed, and deployed AI/ML and Generative AI solutions to solve real-world business problems across multiple domains using Artificial Intelligence. Built and optimized machine learning models using Python, modern ML frameworks, and Large Language Model systems, focusing on accuracy, scalability, and performance. Worked on data preprocessing, feature engineering, model training, evaluation, and continuous improvement of AI-driven systems. Integrated AI models and LLM-powered components into production systems and APIs, contributing to scalable AI App Development and automation workflows. Implemented AI-driven automation and intelligent workflows to enhance operational efficiency and decision-making. Conducted experiments, analyzed results, and applied insights through LLM Prompt Engineering and iterative optimization to improve product outcomes.
Senior Automation Expert
Elegant Digitals • Tiempo completo
Nov 2024 - Feb 2026 • 1 yr 3 mos
Designed and implemented end-to-end Generative AI and Automation solutions to streamline business operations, marketing workflows, and internal processes using Artificial Intelligence. Built intelligent AI automation systems using Large Language Models, OpenAI API, Python, and n8n to reduce manual effort and improve efficiency. Developed and deployed AI-powered agents through AI Agent Development and LangChain for data processing, Chatbot Development, customer interaction, content generation, and lead management using Natural Language Processing. Integrated AI App Development solutions with CRMs and third-party platforms via APIs to enable seamless data flow and scalable automation. Optimized LLM-based workflows using LLM Prompt Engineering and Generative AI Prompt Engineering to ensure reliability, scalability, and performance.
AI & IOT Engineer
Nestle • Tiempo parcial
Aug 2025 - Dec 2025 • 4 mos
Designed and implemented AI- and IoT-based solutions using Artificial Intelligence and Machine Learning to improve operational efficiency, monitoring, and decision-making across manufacturing and supply chain systems. Developed and deployed machine learning models to analyze sensor and IoT data for predictive maintenance, quality control, and process optimization. Integrated IoT devices, edge computing systems, and cloud platforms to enable real-time data collection, analytics, and intelligent automation. Built scalable data pipelines to process high-volume, real-time IoT data and transform it into actionable insights for AI-driven decision-making. Collaborated with cross-functional teams including operations, engineering, and IT to align AI solutions with business objectives and enterprise requirements. Ensured system reliability, scalability, and security while adhering to industry and enterprise standards.