Update README.md
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README.md
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@@ -152,3 +152,112 @@ Detailed results can be found [here](https://huggingface.co/datasets/open-llm-le
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|MuSR (0-shot) |23.72|
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|MMLU-PRO (5-shot) |49.20|
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|MuSR (0-shot) |23.72|
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|MMLU-PRO (5-shot) |49.20|
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___________________________________
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# Advertising
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I’m on the hunt for new challenges and a chance to dive into some exciting research opportunities. Oh, and did I mention I just snagged a top spot on the Open LLM leaderboard? 🎉
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## DR DAVID NOEL NG
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#### MACHINE LEARNING EXPERT
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Innovation catalyst, AI strategist, and Interdisciplinary-Tech enthusiast – that's me in a nutshell. With over a decade of experience in research and project management, my professional journey has been largely shaped by my passion for artificial intelligence and its potential to transform various industries. With a solid background in artificial intelligence and machine learning, coupled with a knack for innovation and problem-solving (and a healthy dose of curiosity), I'm excited to bring my skills to a new team.
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Originally from Australia, where I earned my degrees in Organic Chemistry and Biochemistry, I moved to Germany in 2004. My academic pursuit continued with a Ph.D. in Chemistry at the Max Planck Institute of Biochemistry. Today, I leverage my robust educational background and diverse industry experience to drive AI innovations in a wide range of applications.
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___________________________________
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### PROFESSIONAL EXPERIENCE
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#### SENIOR GLOBAL INNOVATION STRATEGIST - ARTIFICIAL INTELLIGENCE
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####Munich Re | Munich | 05/2023 - Now
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As a Senior Global Innovation Strategist at Munich Re, my passion is in steering AI/ML strategies, maximizing project impact, and advancing the use of cutting-edge technology. I built the AI Accelerator, which drives the rapid and structured development of AI use-case Implementations.
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#### AI CONSULTANT - LEAD AI ENGINEER
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#### appliedAI UTUM | Munich | 04/2019 - 04/2023
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In my tenure at appliedAI, I held a leadership role where I spearheaded the successful development and execution of various AI/ML proof-of-concept (POC) and minimum viable product (MVP) projects. I utilized a hands-on approach to drive ideation, planning, and delivery of these solutions for our clients.
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- AI-Controlled Imaging: Directed a PoC of an AI-Controlled Electron Microscope using Reinforcement Learning for a premier imaging company.
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Anomaly Detection: Oversaw development of security systems utilizing anomaly detection, integrating diverse technologies to boost client security at the Munich Security Conference..
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- Project Optimization: Implemented AlphaZero-based Graph Optimization for project management in the Nuclear Energy sector.
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- Food Safety: Delivered a PoC for industrial food safety equipment, significantly improving detection sensitivity.
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- NLP Consulting: Consulted on automated document analysis and risk assessment for the European Central Bank, leveraging NLP technologies.
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- Aerospace Anomaly Detection: Developed a PoC for Aerospace manufacturing, using generative diffusion models to create synthetic data for training anomalies detection models.
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- Retail Automation: Applied Vision and Skeletal Tracking for supermarket automation, modernizing retail operations.
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- Public Speaking and Training: Regularly presented talks and training sessions on topics such as KI-Transfer Plus for the Bayerischen Staatsministeriums für Digitales, and KI in Biotech for the BioEntrepreneurship Summit, spreading AI knowledge and fostering digital transformation in the Health/Pharma sector..
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#### PROJECT LEAD - INNOVATIVE TECHNOLOGIES
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#### Nanotemper Technologies GmbH | Munich | 5/2016 - 3/2019
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Project Lead in Future Technologies Department, Scientist Bioanalytics and all-rounder in bioanalytics/data/optoelectronics. Contributions and successes:
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- Created and applied Deep Learning models for interpreting biophysical data for pharmaceutical stability in antibody development
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- Designed, built, and programmed prototype optoelectronic apparatus for the rapid analysis of biosimilar pharmaceutical molecules
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- Introduced FPGA technology for high-speed data collection and analysis, now used in the key products at Nanotemper
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#### RESEARCH SCIENTIST
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#### Max Planck Institute Of Neurobiology | Martinsried | 02/2016 - 04/2019
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Driven by an interest in Biotech, I found a role in research working on biosensors, particularly on optical probes of neural activity (Optogenetics). Contribution and success:
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- Designed, built and utilized a robotic screening platform for the high-throughput engineering of biosensors.
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- Utilised image-processing and machine-learning techniques to collect and analyse biosensor data.
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- Automated the development of large molecules by FACS-based directed protein evolution.
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- Patented new CRISPR/Cas9 technology for high-throughput protein engineering.
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#### CONSULTANT FOR THE NETFLIX SERIES 'BIOHACKERS'
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#### Netflix | Munich | 01/2019 - 12/2019
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In this role, I advised on the scientific concepts, storylines and film set for this popular Netflix series. Contribution and success:
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- Helped design and build the Laboratory and ‘Biohacking’ labs
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- Modified the scripts to keep scientific accuracy
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- Location scouting and liaison with the LMU to organise research labs for filming
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## SKILLS
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- Strong interest in customer experience and Machine Learning transformations (e.g. expectation management, stakeholder alignment, team reorganization etc.)
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- Ability to work autonomously in the completion of deliverables
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- Ability to provide technical and analytic direction, guidance and roadmaps for ML projects
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- Excellent communication and presentation skills: able to explain Analytics in non-technical terms to business users (C-level, investors, public presentations etc.)
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- Deep technical expertise and strong problem-solving and data analysis skills
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## AWARDS
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#### The United Nations COVID-19 Detect & Protect Challenge
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- The United Nations Development Programme Centre for Technology, Innovation and Sustainable Development · Aug 2020
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#### AI at the Edge Challenge with NVIDIA - Artificial Intelligence of Things (AIoT)
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- Issued by Nvidia · Mar 2020
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#### Create Intelligence at the Edge - Artificial Intelligence on FPGA
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- Avnet and Xilinx · Dec 2018
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#### PATENTS
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- WO2018020050A1 - Targeted in situ protein diversification by site directed dna cleavage and repair
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## EDUCATION
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#### PhD in Organic Chemistry
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- Max Planck Institute of Biochemistry
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#### Honours Degree - Biochemistry
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- Monash University Melbourne
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#### Bachelor of Science - Double Major -
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- Chemistry / Molecular Biology
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- University of Tasmania
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#### Nanodegree - Deep Reinforcement Learning
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- Udacity Online
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#### Nanodegree - Deep Learning
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- Udacity Online
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___________________________________
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#### Reach out via messaging on HuggingFace, or via [LinkedIn](https://www.linkedin.com/in/dnhkng)
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