About Me
Heavenly Father God, I dedicate my life and professional skills to your glory, using my talents to serve You and build Your kingdom, knowing that “Every good gift and every perfect gift is from above, coming down from the Father of lights, with whom there is no variation or shadow due to change.” [James 1:17]. In Jesus’ name I pray, Amen.
Personal Info.
I am a Data Scientist and ML Engineer with extensive experience in designing, developing, and deploying innovative AI solutions across diverse domains, including deep learning, statistics, recommender systems, computer vision, and natural language processing. I have a proven track record of success in leveraging Large Language Models (LLMs) and MLOps methodologies to deliver high-impact results.
My experience spans a range of areas, including:
Model Development & Engineering:
- Feature Engineering: Expert in crafting robust feature engineering techniques to enhance model performance, focusing on accuracy and interpretability.
- Model Training: Deep expertise in training high-performance machine learning models utilizing cutting-edge algorithms across various domains, including deep learning, statistics, recommender systems, computer vision, and natural language processing.
- Prompt Engineering: Skilled in crafting effective prompts for LLMs, optimizing performance and ensuring desired responses.
- Retrieval Augmented Generation (RAG): Adept at leveraging RAG techniques to enhance the knowledge base and context awareness of LLM-powered applications.
- Chunking Strategies: Implementing optimal chunking techniques for efficient processing and analysis of large datasets.
- Embedding Models: Developing and deploying embedding models for efficient information retrieval and similarity search.
- Advanced Search Algorithms: Deep understanding of search vector databases and their application in optimizing LLM-based search functionalities.
- Deep Learning: Expertise in building and deploying deep learning models across various domains, including image classification, object detection, and natural language understanding.
- Statistics & Recommender Systems: Strong foundation in statistical modeling and data analysis, with experience in developing personalized recommendation systems.
- Computer Vision: Proficient in utilizing computer vision techniques for image processing, object detection, and scene understanding.
- Natural Language Processing: Expertise in natural language processing tasks such as text classification, sentiment analysis, and machine translation.
MLOps & Deployment:
- Deployment: Implementing and deploying machine learning models in production environments for real-world applications.
- MLOps/LLMOPs: Proficient in designing and implementing robust MLOps workflows, encompassing model training, deployment, monitoring, and continuous improvement. Applying best practices in MLOps for LLM-based systems, including model monitoring, versioning, and continuous integration/continuous delivery (CI/CD) pipelines.
Passion & Impact:
I am passionate about leveraging the power of LLMs and MLOps to drive innovation and solve real-world challenges. My goal is to contribute to the development of impactful AI solutions that make a positive difference in the world.
My experience encompasses the entire MLOps lifecycle, from model development and training to deployment and monitoring. I am confident in my ability to contribute to the success of LLM-powered and MLOps initiatives within your organization. My current focus areas are:
- Google Cloud / Azure / AWS
- Deep Learning
- Natural Language Process
- Recommender System
- MLOps / LLMOps
- Statistics
- Computer Vision
- Kubernetes
- Seamless CI/CD
What is the blog for?
It is easily forgettable that we are running into death from birth. This blog is about reflections, insights, thoughts, and realizations, based on my experience. Happy to be criticized to be mature.
For contact, please visit my LinkedIn profile