Ashish Shiju Email & Phone Number

• Currently working on a healthcare project with a research institute, leveraging generative AI to support Phase II and III cancer drug trials.
• Worked with ActionFi’s AI Team Lead to design and implement Retrieval-Augmented Generation (RAG) tools for processing and extracting insights from large datasets, such as PDFs, to streamline information retrieval.
• Explored and implemented model quantization techniques to optimize large language models (LLMs) for efficiency and scalability in real-world applications.
• Conducted extensive experiments to determine the optimal token usage and performance trade-offs between LLaMA models and Hugging Face’s LLMs such as BART and RoBERTa, ensuring cost-effective and accurate AI operations.
• Strengthened expertise in advanced generative AI techniques while contributing to actionable insights for oncology data processing challenges.

Sydney, New South Wales, Australia

• Supported the implementation and optimization of data quality and governance solutions using Ataccama’s data management platform.
• Developed and configured custom rules, constraints, and data validation checks to ensure high standards of data integrity and accuracy.
• Assisted in identifying and resolving data inconsistencies, redundancies, and quality issues across various datasets.
• Collaborated with cross-functional teams to define data governance policies and standards tailored to project requirements.

• Collaborate on a project-by-project basis to fine-tune large language models (LLMs) by evaluating and selecting responses in Python, SQL, and Java to improve model performance.
• Focus on mitigating the risk of "hallucination" in LLMs by analyzing and curating responses that prioritize accuracy, coherence, and relevance.
• Provide detailed feedback and insights to enhance model alignment with project-specific objectives and use cases

Singapore

• Conducted extensive data research and analysis on customer datasets for sales and marketing team.
• Developed dashboards using Qlik Sense for interactive data visualizations
• Received commendable appreciation from the leadership team

Singapore

• Worked directly under the mentorship of the regional Professional Service Leader for Southeast Asia
• Designed, developed, and presented projects using predictive models in the fields of health, automobile and sports industry using Qlik Sense Business, a data visualizations platform
• Received a letter of recommendation for outstanding performance