Fine Tuning a Large Language Model (LLM) | Retrieval Augmented Generation (RAG) | Application Development
Emotion in Large Scale News data | Topic Modeling | Fact Induction in Documents
Deployment of a Web Scraper | RAG deployment on AWS | S3, EC2, Lambda
Machine Learning Algorithms | Prediction and Modeling
Data Scientist with 3 years of experience in Fintech and Healthcare Industries. Developed Stock
Market Observation tools, AI tools for health Economics.
Specialities include: fine tuning large language models (LLM), advanced
retrieval augmented generation (RAG), emotion identification in large texts, domain adaptation of
language models.
Endorsed by UK Research and Innovation for significant research contributions and obtained
prestigious Global Talent Visa.
Name
Abrar Fahim
abrar-personal@outlook.com
Developed AI tools related to helath economics. Utilized Large Language Models, Topic Modeling and Cloud Computing.
Led the devleopment of a stock market observation tool based on emotions conveyed in news articles.
Developed an image captioning model for visually impaired people.
Courses: Machine Learning, Quantitative Data Analysis, Data Visualisation, Modern Data, High Performance Computational Infrastructures, Research Project Management, Ethics and Governance of Digital Systems, Digital Innovation and Strategy
Highlights: Obtained 87% average score.
My project "Automatic Number Plate Detection and Recognition" was one of the 20th top performing project on NSU Capstone showcase.
Tools:Transformers, LLamaCPP, LangChain, LLamaIndex Technology: PEFT, Retrieval Augmented Generation
Tools: Spacy, NLTK, PageRank, RegEx Technology: NER, Topic Modeling, Emotion Identification
Tools: S3 Bucket, Ec2, Lambda Technology: Connection to AWS, Fetch and Compute data on Cloud
Tools: Python, Numpy, Scipy, Scikit-Learn, Pandas Technology: Data cleaning / Visualization, Prediction Algorithms
United Kingdom
I have taught Abrar, supervised him on his MSc dissertation and worked with him on a research project focusing on emotions discovery and analysis and their effect on trading decisions......... Working with Abrar, I noticed how he likes challenges and always aims to solve them using creative data science approaches. He constantly develops his skills, whether it is related to data science, Python or cloud computing. I can happily testify for his excellent team working skills and working ethics, and I am happy to be approached for further information.
Hi Abrar, Very happy to recommend you after the work you did for Advanced Logic Analytics Limited in conjunction with Brunel University. The project you did for us was very well done and your skills as a Data Scientist where very good, you grew into the project over the time you worked with us and Brunel. When you get to the next stage with a potential employer, I would be happy to speak to them or provide a reference. Best Nick
Abrar is a skilled programmer and data scientist who works well as part of a team. Abrar acquires knowledge effectively and always demonstrates excellent work across a number of platforms (including cloud).
London, UK
