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obaidkhanok

Obaid Khan

@obaidkhanok

AI Engineer

Pakistán
Inglés
Parte de la información aparece en idioma inglés.
Sobre mí
I am an AI Engineer specializing in building intelligent, production grade AI systems using Large Language Models (LLMs), agentic workflows, and Retrieval Augmented Generation (RAG) architectures. I have hands on experience designing agent based systems using LangGraph, where multiple AI agents collaborate through structured workflows, state management, and decision logic to solve complex tasks reliably and at scale. I combine strong AI system design with backend engineering, enabling seamless integration of AI models into real world applications.... Lee más

Habilidades

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obaidkhanok
Obaid Khan
desconectado • 

Revisa mis servicios

Integraciones de IA
I will build ai agents using langgraph and rag systems

Experiencia laboral

AI Engineer

Data Function Inc • Tiempo completo

Jul 2025 - Present10 mos

As an AI Engineer at Data Function Inc., I design and deploy scalable AI-driven solutions and robust backend architectures. My work focuses on bridging the gap between complex machine learning models and production-ready applications. Key Responsibilities & Tech Stack: AI & LLMs: Developing advanced RAG (Retrieval-Augmented Generation) systems to enhance data retrieval and response accuracy. Machine Learning: Building and fine-tuning ML models to solve specific business operational challenges. Backend Development: Architecting and maintaining high-performance backends using Django and Python. Database Management: Designing optimized schemas and managing complex data relations using SQL. System Integration: Ensuring seamless communication between AI modules and core business logic.

ML Engineer

unaz service limited • Tiempo parcial

Aug 2024 - Jun 202510 mos

Developed and optimized ML models for real-world applications, improving performance and efficiency. • Conducted data preprocessing, feature engineering, and model evaluation to enhance predictive accuracy. • Collaborated with cross functional teams to integrate AI driven solutions into existing systems. • Gained hands on experience with frameworks like TensorFlow, PyTorch, and Scikit-learn. • Worked on deploying ML models and understanding real-world deployment challenge