I'm a machine learning engineer who's also pursuing an AI apprenticeship (equivalent to masters in AI). I am a proficient systematic thinker who enjoys applying logical reasoning to find elegant and performant solutions to complex problems. I'm focused on natural language processing (NLP) primarily.
I have industry experience with recommendation systems, reinforcement learning, chatbot development, information extraction, knowledge graphs and generative AI, specifically large language models from my most recent role in a high growth startup.
I have a strong background in data science and machine learning. I am motivated by the challenge and opportunity of using AI strategicialy to solve real-world problems and enjoy learning from experienced engineers. My goal is to become a leader in the field of artificial intelligence so I can amplify my positive impact on society.
On a more general front, I'm intrigued by robotics, the mind and consciousness and fascinated by neuroscience and philosophy. In my free time, I enjoy cooking, meditating, travelling and reading. My favourite book is The Untethered Soul by Michael Alan Singer.
- Utilize ChatGPT to autocomplete code, suggest code snippets based on the context, and provide solutions to coding challenges. It can also suggest alternative approaches to implement a particular functionality, saving development time.
2. Fix bugs and errors:
- Describe the error or bug to ChatGPT, and it can provide a list of common solutions, possible causes, and steps to debug the issue, making the debugging process more efficient.
3. Translate code between languages:
- ChatGPT can assist in translating code snippets from one programming language to another, making it easier to work across different technology stacks.
4. Generate boilerplate code:
- Generate starter code for common tasks like setting up a REST API, creating config files, initializing tests, etc., with the help of ChatGPT, accelerating the project setup phase.
5. Improve existing code:
- Request ChatGPT to review, refactor, and optimize your code. It can suggest improvements such as better variable names, code structure, optimization techniques, and adding comments for better code readability and performance.
Writing/Content Creation:
1. Summarize long articles/documents:
- ChatGPT can scan through lengthy texts, extract key points, and present a concise summary, enabling quicker assimilation of information.
2. Translate content to other languages:
- Provide text to ChatGPT, and it can translate it to various languages, aiding in global communication and content dissemination.
3. Write first drafts:
- Outline your ideas, and ChatGPT can help draft initial versions, saving time and effort in the early stages of content creation.
4. Expand on ideas:
- With a starting sentence or paragraph, ChatGPT can develop a more comprehensive piece, aiding in brainstorming and content expansion.
Research/Learning:
1. Answer questions on demand:
- ChatGPT can provide immediate answers to a range of queries, offering a faster alternative to manual search.
2. Explain complex topics:
- It can break down complex topics into simpler terms, providing a clearer understanding and personalized learning experience.
3. Find code examples:
- ChatGPT can supply code samples for particular implementations, facilitating hands-on learning and problem-solving.
4. Get alternate perspectives:
- It can present different viewpoints on a topic, fostering a more well-rounded understanding and critical thinking.
Administrative Tasks:
1. Schedule meetings and appointments:
- Allow ChatGPT to handle scheduling, thus freeing up your time and mental energy for other tasks.
2. Fill out forms/paperwork:
- ChatGPT can pull information from databases to quickly fill out templated documents, saving time on routine paperwork.
3. Track tasks and todos:
- Utilize ChatGPT for task management to stay organized and focused on important work, delegating task tracking to the AI.
Here's a high level summary of the major use cases described below. Scanned at Fri 20th Sept, 21:31. Compiled with claude and chatgpt.
Programming/Coding:
1. Get help writing code faster:
- Utilize ChatGPT to autocomplete code, suggest code snippets based on the context, and provide solutions to coding challenges. It can also suggest alternative approaches to implement a particular functionality, saving development time.
2. Fix bugs and errors:
- Describe the error or bug to ChatGPT, and it can provide a list of common solutions, possible causes, and steps to debug the issue, making the debugging process more efficient.
3. Translate code between languages:
- ChatGPT can assist in translating code snippets from one programming language to another, making it easier to work across different technology stacks.
4. Generate boilerplate code:
- Generate starter code for common tasks like setting up a REST API, creating config files, initializing tests, etc., with the help of ChatGPT, accelerating the project setup phase.
5. Improve existing code:
- Request ChatGPT to review, refactor, and optimize your code. It can suggest improvements such as better variable names, code structure, optimization techniques, and adding comments for better code readability and performance.
Writing/Content Creation:
1. Summarize long articles/documents:
- ChatGPT can scan through lengthy texts, extract key points, and present a concise summary, enabling quicker assimilation of information.
2. Translate content to other languages:
- Provide text to ChatGPT, and it can translate it to various languages, aiding in global communication and content dissemination.
3. Write first drafts:
- Outline your ideas, and ChatGPT can help draft initial versions, saving time and effort in the early stages of content creation.
4. Expand on ideas:
- With a starting sentence or paragraph, ChatGPT can develop a more comprehensive piece, aiding in brainstorming and content expansion.
Research/Learning:
1. Answer questions on demand:
- ChatGPT can provide immediate answers to a range of queries, offering a faster alternative to manual search.
2. Explain complex topics:
- It can break down complex topics into simpler terms, providing a clearer understanding and personalized learning experience.
3. Find code examples:
- ChatGPT can supply code samples for particular implementations, facilitating hands-on learning and problem-solving.
4. Get alternate perspectives:
- It can present different viewpoints on a topic, fostering a more well-rounded understanding and critical thinking.
Administrative Tasks:
1. Schedule meetings and appointments:
- Allow ChatGPT to handle scheduling, thus freeing up your time and mental energy for other tasks.
2. Fill out forms/paperwork:
- ChatGPT can pull information from databases to quickly fill out templated documents, saving time on routine paperwork.
3. Track tasks and todos:
- Utilize ChatGPT for task management to stay organized and focused on important work, delegating task tracking to the AI.
Foundation models are a new class of powerful AI systems which are having an unparalleled impact on both machine learning research and industrial applications. I recently attended the Exploring foundation models symposium hosted by The Alan Turing Institute. This event brought together prominent academics and practitioners to explore the promises, limitations and future directions of this rapidly developing technology.
I recently launched Poetic Genesis: An anthology of 52 AI Crafted Poems on Amazon. Even better, here's a post regaling the adventurous tale of how I made this epic poetry anthology using OpenAI's ChatGPT (it's not as easy as it sounds). Enjoy: https://azuremis.com/blog/how-i-made-an-epic-poetry-antholog...
Remote: Yes and hybrid also ideal. Also willing to commute within London
Willing to relocate: For the right offer
Technologies: Machine Learning, Deep Learning, NLP (LLMs, Prompt Engineering, HuggingFace, Langchain, Pydantic), MLOps (Docker, W&B, MLFlow, Postgres, Neo4j, Grafana, Prometheus, FastAPI, Streamlit, AWS), Python (Pandas, NumPy, Seaborn, sklearn)
Résumé/CV: https://www.linkedin.com/in/azuremis/
Email: azuremismachine [at] gmail.com
About me:
I'm a machine learning engineer who's also pursuing an AI apprenticeship (equivalent to masters in AI). I am a proficient systematic thinker who enjoys applying logical reasoning to find elegant and performant solutions to complex problems. I'm focused on natural language processing (NLP) primarily.
I have industry experience with recommendation systems, reinforcement learning, chatbot development, information extraction, knowledge graphs and generative AI, specifically large language models from my most recent role in a high growth startup.
I have a strong background in data science and machine learning. I am motivated by the challenge and opportunity of using AI strategicialy to solve real-world problems and enjoy learning from experienced engineers. My goal is to become a leader in the field of artificial intelligence so I can amplify my positive impact on society.
On a more general front, I'm intrigued by robotics, the mind and consciousness and fascinated by neuroscience and philosophy. In my free time, I enjoy cooking, meditating, travelling and reading. My favourite book is The Untethered Soul by Michael Alan Singer.
Let's speak :)