README.md

---
license: mit
---

This is a new kind of model optimization.
This model is based on Meta-Llama-3.1-8B.

A paper is currently being written on the technique.  Special thanks to my wife, for putting up with me coding in the basement for too many evenings and weekends for months!

## Quickstart

```python
import transformers
import torch

model_id = "meta-llama/Meta-Llama-3.1-8B"

pipeline = transformers.pipeline(
    "text-generation", model=model_id, model_kwargs={"torch_dtype": torch.bfloat16}, device_map="auto"
)

pipeline("Hey how are you doing today?")
```


___________________________________
# *ADVERTISING BREAK*

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? 🎉



## CV - Dr David Noel Ng


#### Profile
Innovation enthusiast, AI-strategist, and interdisciplinary-tech nerd – that's me! 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.

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. Hobbies? Lots: I've also built the world's most powerful espresso machine and am working to bring [GLaDOS to life](https://github.com/dnhkng/GlaDOS).


___________________________________
### PROFESSIONAL EXPERIENCE
####  SENIOR GLOBAL INNOVATION STRATEGIST - ARTIFICIAL INTELLIGENCE
#### Munich Re | Munich | 05/2023 - Now

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.
#### AI CONSULTANT - LEAD AI ENGINEER
#### appliedAI UTUM | Munich | 04/2019 - 04/2023

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.

 - AI-Controlled Imaging: Directed a PoC of an AI-Controlled Electron Microscope using Reinforcement Learning for a premier imaging company.
 - Anomaly Detection: Oversaw development of security systems utilizing anomaly detection, integrating diverse technologies to boost client security at the Munich Security Conference..
 - Project Optimization: Implemented AlphaZero-based Graph Optimization for project management in the Nuclear Energy sector.
 - Food Safety: Delivered a PoC for industrial food safety equipment, significantly improving detection sensitivity.
 - NLP Consulting: Consulted on automated document analysis and risk assessment for the European Central Bank, leveraging NLP technologies.
 - Aerospace Anomaly Detection: Developed a PoC for Aerospace manufacturing, using generative diffusion models to create synthetic data for training anomaly detection models.
 - Retail Automation: Applied Vision and Skeletal Tracking for supermarket automation, modernizing retail operations.
 - 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..


#### PROJECT LEAD - INNOVATIVE TECHNOLOGIES
#### Nanotemper Technologies GmbH | Munich | 5/2016 - 3/2019

Project Lead in the Future Technologies Department, Scientist Bioanalytics and all-rounder in bioanalytics/data/optoelectronics. Contributions and successes: 
 - Created and applied Deep Learning models for interpreting biophysical data for pharmaceutical stability in antibody development
 - Designed, built, and programmed prototype optoelectronic apparatus for the rapid analysis of biosimilar pharmaceutical molecules
 - Introduced FPGA technology for high-speed data collection and analysis, now used in the key products at Nanotemper

#### RESEARCH SCIENTIST
#### Max Planck Institute Of Neurobiology | Martinsried | 02/2016 - 04/2019

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: 
 - Designed, built and utilized a robotic screening platform for the high-throughput engineering of biosensors.
 - Utilised image-processing and machine-learning techniques to collect and analyse biosensor data.
 - Automated the development of large molecules by FACS-based directed protein evolution.
 - Patented new CRISPR/Cas9 technology for high-throughput protein engineering.

#### CONSULTANT FOR THE NETFLIX SERIES 'BIOHACKERS'
#### Netflix | Munich | 01/2019 - 12/2019

In this role, I advised on the scientific concepts, storylines and film set for this popular Netflix series. Contribution and success: 
 - Helped design and build the Laboratory and ‘Biohacking’ labs
 - Modified the scripts to keep scientific accuracy
 - Location scouting and liaison with the LMU to organise research labs for filming

#### Doctoral Candidate
#### Max Planck Institute for Biochemistry

My PhD thesis was all about Optical brain-computer interfaces, and synthesizing molecular sensors for optically imaging brain activity. I devised a new biomolecular targeting technique and developed compounds for high-speed optical analysis of neuron activity.
 - Molecular Sensor Development: Designed, synthesized, and tested molecular sensors to optically image brain activity, advancing neuroimaging capabilities.
 - Biomolecular Targeting Technique: Developed a novel technique for labelling live cells with organic dye, utilizing pro-drug techniques used in pharmaceutical development, enhancing the precision of cell tracking and analysis.
 - Neuronal Activity Analysis: Designed a high-speed optical analysis setup for cultured neurons and developed specialized compounds for this purpose, improving our understanding of neuron activity.

## SKILLS
 - Strong interest in customer experience and Machine Learning transformations (e.g. expectation management, stakeholder alignment, team reorganization etc.)
 - Ability to work autonomously in the completion of deliverables
 - Ability to provide technical and analytic direction, guidance and roadmaps for ML projects
 - Excellent communication and presentation skills: able to explain Analytics in non-technical terms to business users (C-level, investors, public presentations etc.)
 - Deep technical expertise and strong problem-solving and data-analysis skills



## AWARDS

#### The United Nations COVID-19 Detect & Protect Challenge
 - The United Nations Development Programme Centre for Technology, Innovation and Sustainable Development · Aug 2020

#### AI at the Edge Challenge with NVIDIA - Artificial Intelligence of Things (AIoT)
 - Issued by Nvidia · Mar 2020

#### Create Intelligence at the Edge - Artificial Intelligence on FPGA
 - Avnet and Xilinx · Dec 2018

#### PATENTS
 - WO2018020050A1 - Targeted in situ protein diversification by site-directed DNA cleavage and repair
  

## EDUCATION

#### PhD in Organic Chemistry
 - Max Planck Institute of Biochemistry

#### Honours Degree - Biochemistry
- Monash University Melbourne

#### Bachelor of Science - Double Major -
 - Chemistry / Molecular Biology
 - University of Tasmania

#### Nanodegree - Deep Reinforcement Learning 
 - Udacity Online

#### Nanodegree - Deep Learning
 - Udacity Online


___________________________________
I'm based out of Munich, Germany, but I would be interested in working remotely for a team with more compute than my 2x 4090s 🚀

#### Reach out via [LinkedIn](https://www.linkedin.com/in/dnhkng)