An experienced AI and machine learning specialist consultant with a strong track record in product management and research. Delivered impactful demos and contributed to significant advancements in AI technologies. In their role as an AI Product Manager, led the development of a cutting-edge generative AI platform and achieved substantial lead generation growth. My background includes developing proof-of-concepts, publishing research, and enhancing product performance through innovative techniques. With expertise in Python, TensorFlow, PyTorch, and cloud technologies like Azure, they combine technical prowess with practical experience, supported by a First Class Honors degree from Curtin University.
– Delivered critical product demos alongside board of
directors’ presentation at Organisation’s 2024 AGM
resulting in high levels of engagement and increased
shareholder confidence.
– Led cross-functional development with frontend and backend
teams to build and launch a generative AI powered work-
health and safety platform targeting multilingual safety
education.
– Transformed a WHS platform with no AI directive or vision,
into an AI-powered SaaS product with industry leading
features and launched within 1 month of starting full time.
– Fine-tuned LLMs, designed retrieval-augmented generation
pipeline, developed python-based AI API service, integrated
with frontend and backend using React Native, and .NET
respectively.
– Presented and demonstrated the product at the World
Congress of Work Health and Safety 2023, resulting in a 20x
increase in lead generation.
– Delivered product demos alongside board of directors’
presentation at Organisation’s 2023 AGM.
– Developed proof-of-concepts and solution architectures for
various customer use cases, prepared presentations with
meaningful data-visualisations and metrics, provided
technical expertise in the customer-facing meetings.
– Published research paper on tactile sensor processing using
near-sensor unsupervised machine learning and presented at
IEEE (AICAS2023) conference in Hangzhou.
– Trained many models including various CNNs, proprietary
unsupervised models, state-space models, vision-
transformers, and statistical models on various datasets
and types.
– Developed a hardware-aware data-augmentation method to
improve the product, with a 12% increase in F1 score and
minimal overhead on benchmarks, leading to a patent
contribution.
– Worked in software development team to create a Google
Chrome extension which enables users to share accounts
securely without sharing passwords and has 10,000 weekly
active users.