Haseeb Syed — CEO
I’m a Senior Data Scientist specialising in enterprise AI systems that transform operations in highly regulated industries. My work spans Agentic AI, LLMOps, and governance frameworks, bridging hands-on depth with strategic influence to ensure AI adoption is both innovative and compliant. Highlights include: - Delivering agent orchestration pilots in enterprise settings, validating autonomous workflows with human-in-the-loop safeguards. - Scaling retrieval-augmented generation (RAG) pipelines that improved accuracy and reduced manual effort across knowledge-heavy workflows. - Implementing NLP automation that drove double-digit efficiency gains while enhancing customer and regulatory outcomes. - Partnering with executives, risk, and compliance teams to create AI governance playbooks aligned with Australian AI standards. - Mentoring senior leaders and executives on AI adoption strategies, enabling informed decisions on innovation and investment. My focus is on building systems that deliver measurable business outcomes - reducing cost, accelerating insight, and de-risking adoption of frontier AI technologies. Areas of Specialisation: Generative AI, Large Language Models (LLMs), Agentic AI & Multi-Agent Orchestration, Retrieval-Augmented Generation (RAG), Multimodal AI, Recommender Systems & Search, AI-Assisted Engineering Tools, LangChain, LangGraph, Hugging Face, LLMOps & MLOps, Vector Databases (Pinecone, FAISS), GPU Optimisation & Quantisation, Cloud-Native Architectures (AWS, Azure), AWS SageMaker Studio & Bedrock, Real-Time Inference Pipelines, Edge Deployment & Streaming Architectures (AWS Kinesis, Lambda), Kubeflow, MLflow, Airflow, Containerisation (Docker, Kubernetes), Predictive Modelling, Logistic Regression, Decision Trees, Random Forests, Gradient Boosting, Deep Learning Architectures (CNNs, RNNs, LSTMs), Time Series Forecasting, Signal Processing (Spike Sorting, LFP, EcoG, Spectral Analysis, ICA/PCA), Neural Decoding, OpenCV, ROS2, Kaldi, Natural Language Processing (NLP), Statistical Inference, A/B Testing & Experimentation, Data Visualisation, AI Governance, Human-in-the-Loop Design, DevSecOps & IaC, CI/CD, Technical Roadmapping, Team Leadership, Agile/XP/Scrum Practices.
Stackforce AI infers this person is a Data Science expert specializing in AI-driven solutions for enterprise applications.
Location: Sydney, NSW, Australia
Experience: 8 yrs 7 mos
Skills
- Ai Strategy & Transformation
- Generative Ai
- Agentic Ai
- Retrieval-augmented Generation (rag)
- Predictive Modelling
- Customer Analytics
Career Highlights
- Expert in AI governance and compliance frameworks.
- Proven track record in enhancing operational efficiency.
- Strong mentor for AI adoption strategies.
Work Experience
Macquarie Group
Lead Data Scientist (6 mos)
Great Learning
AI Industry Mentor (1 yr 2 mos)
Suncorp Group
Senior Data Scientist (1 yr 5 mos)
Data Scientist (1 yr 10 mos)
Telstra
Data Scientist (1 yr 6 mos)
Data Science Specialist (1 yr 1 mo)
Amazon
Business Intelligence Analyst (3 mos)
NSW Department of Industry
Consultant @ Global Scope Program (0 mo)
7Hills Computers
Data Analyst (2 yrs 10 mos)
Education
MITx 6.86x: Machine Learning with Python at Massachusetts Institute of Technology
Bachelor's degree at UNSW