Diana Joseph

I'm a passionate AI/ML engineer, Researcher and Deep Learning Engineer with a proven ability to turn complex challenges into effective, real-world AI solutions. With over three years of experience, I've mastered the full lifecycle of AI development—from data preprocessing to deploying models in production. My recent work focuses on RAG pipelines, generative AI (LLMs/VLMs), and computer vision, where I've successfully optimized model performance by up to 15%. I thrive on leveraging Python, TensorFlow, and Hugging Face to build intelligent systems and am adept at MLOps practices to ensure scalability and reliability. I'm currently based in the UAE on a visit visa and am immediately available to contribute to your team.

AI Engineer – Pearlsoft Technologies (Jul 2024 – Jul 2025)

Built RAG pipelines and intelligent chatbots using LangChain, Hugging Face, and ChromaDB.

Optimized YOLO-based object detection models and deployed GPU-accelerated inference systems.

Containerized AI models with Docker & FastAPI, integrated into CI/CD workflows.

Improved LLM/VLM inference performance by 15% through fine-tuning and optimization.

Software Engineer – Cognizant Technology Solutions (Sep 2022 – Jun 2024)

Engineered backend APIs for AI applications and supported model deployment pipelines.

Collaborated with data scientists on preprocessing and feature engineering.

Documented AI systems and resolved production-level issues.

Master of Technology (M.Tech) in Artificial Intelligence & Data Science Kerala Technological University, India (2020–2022) Graduated with distinction, earning a CGPA of 9.27. Specialized in advanced machine learning, deep learning, and data science methodologies.

Bachelor of Technology (B.Tech) in Electronics & Communication Engineering Kerala Technological University, India (2015–2019) Solid foundation in signal processing, embedded systems, and communication technologies. Graduated with a CGPA of 7.87.