Hashini Sharon Moses
I am a results-driven AI Engineer with a Master’s degree in Artificial Intelligence and over 4 years of experience in designing, optimizing, and deploying AI solutions.
About
I am a results-driven AI Engineer with a Master’s degree in Artificial Intelligence and over 4 years of experience in designing, optimizing, and deploying AI solutions. I specialize in Machine Learning, NLP, Deep Learning, and MLOps, and am proficient in Python, TensorFlow, PyTorch, and various cloud platforms like AWS, GCP, and Azure. I enjoy building AI-driven APIs, leading ML pipelines, and optimizing real-world AI applications to drive business growth.
I pride myself on being adaptable and collaborative, having worked remotely and in diverse teams across multiple time zones. My experience ranges from forecasting and predictive modeling to developing interactive dashboards and automating business intelligence solutions. I am passionate about leveraging AI to solve complex problems and delivering impactful data insights for clients and stakeholders.
- 7 years' experience
- Joined July 2025
Skills· 15
Languages
- EnglishFluent
- Sinhala, SinhaleseFluent
- TamilAdvanced
Industry experience
- Software & Internet
- Professional Services
- Transportation & Logistics
- Financial Services
Work experience· 18 roles
Developed and fine-tuned LLMs for text generation, summarization, and AI-driven automation. Designed and deployed MLOps pipelines, integrating CI/CD for seamless model training and evaluation. Built scalable AI-powered APIs on Google Cloud Platform & Microsoft Azure for enterprise applications. Managed vector databases for efficient high-dimensional data retrieval and AI model optimization. Deployed GPU-accelerated distributed training for deep learning models, enhancing processing speeds.
Developed and fine-tuned LLMs for text generation, summarization, and AI-driven automation. Designed and deployed MLOps pipelines, integrating CI/CD for seamless model training and evaluation. Built scalable AI-powered APIs on Google Cloud Platform & Microsoft Azure for enterprise applications. Managed vector databases for efficient high-dimensional data retrieval and AI model optimization. Deployed GPU-accelerated distributed training for deep learning models, enhancing processing speeds.
Developed and fine-tuned large language models for text generation and summarization. Designed and deployed MLOps pipelines with CI/CD integration. Built scalable AI-powered APIs on Google Cloud Platform and Microsoft Azure. Managed vector databases for data retrieval and AI model optimization. Deployed GPU-accelerated distributed training for deep learning models to enhance processing speed.
Education· 6
Certifications and awards· 12
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