Summary
Overview
Work History
Education
Skills
References
Interests
Additional Information
Timeline
Liam Rastgoo

Liam Rastgoo

Senior Data Scientist
Melbourne,VIC

Summary

An agile and enthusiastic technology specialist and highly motivated employee with desire to take on new challenges and mastering new skills. With strong ability in Data science and machine learning with experience of 6 years, I bring a continual focus on designing, developing, testing complex solutions, leading and overseeing delivery and performance of projects.

Backed by technical skills in Machine learning, Deep learning, Generative AI, working with different types of data and Cloud infrastructure including GCP, Azure and AWS, committed to deliver innovative solution that aligns with business objective. Work excellent with team member under agile and scrum frameworks. I am looking for an opportunity to apply my current technology expertise and problem-solving skills while broadening my knowledge and skills towards edge technologies.

Overview

7
7
years of professional experience

Work History

Senior Data Scientist & Researcher

Deakin University | Melbourne University
Melbourne
11.2022 - Current
  • Worked alongside team members and leaders to identify analytical requirements and collect information to meet customer and project demands.
  • Collaborate with data analysts to understand and find data patterns.
  • Designed models, algorithms and visualizations to distill insights from huge volumes of real-time data from different sources including IoT sensors and text)
  • Developed predictive models using machine learning, Deep learning, natural language processing and LLMs.
  • Interpreted and analyzed data using scientific methods.
  • Cleaned and manipulated raw data.
  • Produced in-depth analyses and proposed solutions to meet complex business needs.
  • Generated reports and obtained data to develop analytics on key performance and operational metrics to prepare the findings for publication.
  • Built compelling data stories and visualizations (PowerBI and Tableau) to influence decision makers (industry partner).

Technical Lead & Head of Data Science

1Question Pty Ltd
Melbourne, Victoria
12.2020 - 03.2023
  • Worked alongside team members and leaders to identify analytical requirements and collect information to meet project demands.
  • Developed IT strategies and set into place all infrastructure policies.
  • Managed multiple projects with 10 team members tasked with developing and steering operations and process improvements.
  • Determined technical requirements for projects and set work deadlines.
  • Troubleshot and resolved problems with programs and systems.
  • Identified project risks and developed solutions and contingency plans to prevent mistakes and delays.
  • Created graphs and charts detailing data analysis results.
  • Conducted internal audits to measure adherence to established QA standards.
  • Designed front-end and back-end solutions for test-driven development.
  • Led cross-functional technical teams (10 technical staff), including designers, developers, QA, data science, DevOps and MLOPs, to ensure alignment between technical solutions and business goals.
  • Proposed and developed a customized and personalized AI model to monitor each individual learning performance in real-time.
  • This customized model has been instrumental in improving retention rates within our app and with more users returning to the app on a regular basis.
  • Improved system performance by 40% through the implementation of cutting-edge and innovative technical solutions and continuous optimization efforts.
  • Adopting Agile project methodologies to lead the implementation and effective processes of projects and products ▪ Cultivating and strengthening strong relationships with key stakeholders, including customers, partners

AI Engineer

AI Australia/ AI Talent
Melbourne, Victoria
11.2018 - 11.2020
  • Communicated complex machine learning solutions and concepts to diverse group of business stakeholders in clear, concise language.
  • Established scalable automated processes to develop, validate and implement machine learning models.
  • Designed and deployed machine learning models into product stack in support of product development.
  • Created graphs and charts detailing data analysis results.
  • Monitoring the performance and stability of the system infrastructure Adopting Agile project methodologies to lead the implementation and effective processes of projects and products.
  • Technologies Utilized Cloud computing platforms (Azure, GCP and Firebase), IT infrastructure, The database management system, Data management and analysis tools, Messaging as Service, Reporting Dashboard,
  • Engaged and communicated with key stakeholders and clients to identify their needs and design a cost-effective data science/AI-based solutions based on their needs and budget
  • I successfully defined over than 8 different data science projects with clients in health, government, information technology, environment and education sectors
  • Involved in architecting, developing, deploying, leading and overseeing the delivery and performance of the projects on cloud (AWS & Azure) and on-premises computing environments
  • Guiding and supporting clients in migrating their data to the cloud Presenting findings and recommendations to decision makers Collaborating with cross-functional teams (production and engineering) to deliver a data science solution aligned with the client goals.

AI Researcher

Queensland University of Technology
Brisbane, QLD
03.2015 - 11.2018
  • Organized data in logical ways to enable efficient analysis and effective communication of findings.
  • Collaborated with other researchers both in-person and virtually.
  • Analyzed qualitative and quantitative data using data analysis tools to identify and validate research conclusions.
  • Developed implementation, training and validation plans for proposed research algorithms.
  • Attended industry conferences and meetings to stay abreast of new theories and findings.
  • Published experimental and research findings in scientific publications and journals.
  • Prepared new research proposals and applied for grants.
  • Conferred with scientists, engineers and regulators to plan or review projects or provide technical assistance.

Software Developer

Pardazeshgaran
Iran
09.2005 - 08.2011
  • Designing and developing different applications with Visual Basic, C#, .Net language based on the customer needs, and evaluating system program for improving programs Debugging corresponding errors and faults of application to guarantee that programs are working properly Diagnosing restrictions and flaws of technology including all systems and relevant processes, approaches and finding appropriate methods to solve the problems
  • Managed website updates to align with corporate needs.
  • Troubleshooting network programs and providing solutions to network faults
  • Developing and designing different websites for specific business needs with .Net Language Improving system quality by identifying issues and common patterns, and developing standard operating procedures Enhancing applications by identifying opportunities for improvement, making recommendations and designing and implementing system Maintaining and improving existing code bases and peer review code change.
  • Modified company web applications and processes to increase productivity.
  • Delivered code to meet functional or technical specifications.

Education

Ph.D. - Computer Science, Artificial Intelligence

Queensland University of Technology, Brisbane, QLD
11.2018

Master of Artificial Intelligence - Artificial Intelligence

National University of Malaysia, Malaysia
08.2014

GPA: 3.80/4.00, in dynamic environment”

  • Major in Artificial Intelligence

Payame Noor University, Iran
09.2009

GPA: 15

  • Major in Software Engineering

Skills

  • Problem Solving
  • Cross-Functional Collaboration
  • Good communication and teamwork skills
  • Time Management and Organization
  • Debugging and Troubleshooting
  • Data structures and algorithms
  • Machine Learning (Supervised, Unsupervised learning)
  • Deep Learning
  • Generative AI ( LLMs, Neural Search, grapQL , vector database, cross-modal and multi-modal applications)
  • Published more than 24 high-quality papers in high-ranked computer science journals
  • Data Engineering (Signal, audio, Image and Video)
  • Data Pre-processing & Feature Extraction
  • Database Management
  • Continuous Integration Systems (CI/CD pipeline)
  • Agile & DevOps: Confluence, JIRA, Docker, Kubernetes
  • BI Tools expertise
  • Python programming (PyTorch and TensorFlow)
  • MLOPs
  • Virtual Machine
  • REST APIs
  • Cloud Azure (Azure Data Lake storage, Azure Synapse Analytics, Azure Data Factory, PowerBI, Excel Power Query, Azure Stream)
  • Azure Analytics (Azure Blob Storage, Azure Cosmos Db, Azure Functions, Azure SQL Database , Azure Language Studio Computer/Custom Vision, QNA maker
  • GCP (GCP-BigQuery, GCP Dataflow, GCP-BI engine, Cloud Functions, Google Compute Engine, Cloud SQL, Natural Language)
  • AWS (Amazon Recognition, AWS lambda, AWS API Gateway, AWS RDS, AWS-redshift, AWS-S3 Bucket)

References

REFEREES References available upon request

Interests

As a dedicated PhD researcher in the field of Artificial Intelligence, my passion for advancing the boundaries of knowledge is reflected in my substantial contributions to academia. Having authored over 24 publications in prestigious computer science and AI journals, my work is a testament to my commitment to driving innovation in this dynamic field. With an impressive H-index of 13 and over 920 citations, I have consistently strived to push the envelope and foster groundbreaking ideas. Now, as I transition beyond academia, I am eager to channel my expertise into practical applications. I am actively seeking roles as an AI engineer or Machine Learning engineer, where I can leverage my extensive experience to tackle real-world challenges and continue expanding my skill set. 

Additional Information

AWARDS & ACHIEVEMENTS:

  • International grant (Air Force Office of Scientific Research): Empowering Agents with Human Feedback: Integrating Implicit and Explicit Signals in Deep Reinforcement Learning (750k) 2023-2026
  • Academic grant: Received a post-graduate research award, from QUT, for (living expenses+ tuition fee) 2015-2018
  • Industry Grant : Achieved $3M seed funding for mobile app development in the EdTech industry. 2020 2021
  • Industry Awards : Winning several international and national industry awards 2021-2023
  • As a technical leader, I contributed to the success of our Edtech application to achieve/win bellow awards: the Australian WebAwards (Link) | the Edtech Cool Tool Award (Link) |The Australia & New Zealand EdTech 50 (Link)
  • Industry Patent: 2010,2019 Provisional Patent Application No. 2022201431- Waste and Recycling Management System (Australia 2019)
  • Patent Certificate ,Smart System of Adjusting Furnace Temperature Commensurate to have the varying intake, invention No.64709 (IRAN 2010)

Timeline

Senior Data Scientist & Researcher - Deakin University | Melbourne University
11.2022 - Current
Technical Lead & Head of Data Science - 1Question Pty Ltd
12.2020 - 03.2023
AI Engineer - AI Australia/ AI Talent
11.2018 - 11.2020
AI Researcher - Queensland University of Technology
03.2015 - 11.2018
Software Developer - Pardazeshgaran
09.2005 - 08.2011
Queensland University of Technology - Ph.D., Computer Science, Artificial Intelligence
National University of Malaysia - Master of Artificial Intelligence, Artificial Intelligence
Payame Noor University - ,
Liam RastgooSenior Data Scientist