Open to opportunities

Danuka Wickramasinghe

@danukawickramasinghe

Message

Aspiring Data Scientist specializing in AI and machine learning.

United Kingdom

Message

What I'm looking for

I am seeking a role that fosters innovation and collaboration, allowing me to leverage my AI expertise while contributing to impactful projects.

I am a passionate Data Scientist with a strong foundation in aerospace engineering and a focus on artificial intelligence. My journey began with a First-Class degree in Aerospace Engineering from Kingston University, where I was recognized for my academic excellence. I further honed my skills with an MSc in Applied Artificial Intelligence from Cranfield University, where I developed innovative machine learning solutions that achieved remarkable accuracy.

Currently, I am an Artificial Intelligence Graduate at Airbus, where I lead projects that integrate cutting-edge GenAI technologies to enhance aircraft performance. My work has significantly reduced task times and improved data retrieval processes, showcasing my ability to deliver impactful solutions. I thrive in collaborative environments, translating complex technical concepts into actionable insights for non-technical stakeholders.

Experience

Work history, roles, and key accomplishments

Current

Artificial Intelligence Graduate

Current

Airbus

Sep 2023 - Present (1 year 10 months)

Built a modular LLM agent on GCP with LangChain, Langraph, and Gemini, significantly reducing task times and subcontractor dependence. Improved RAG response quality by integrating multimodal data and applying advanced RAG techniques, achieving over 91% faithfulness and 90% context precision.

Lang Chain Gemini GCP RAG Self RAG CoRactive RAG Hugging Face AWS SQL Reinforcement Learning

Graduate Data Scientist

Admiral Group PLC

Sep 2022 - Present (2 years 10 months)

Presented machine learning findings to non-technical stakeholders and developed solutions to meet their requirements. Developed ML/DL models for the pricing team, ensuring FCA compliance for risk evaluation and pricing refinement.

Machine Learning Deep Learning BigQuery Data Pipelines Git Python SQL Risk Analysis Pricing Models

Machine Learning Engineer

Upwork

Mar 2021 - Present (4 years 4 months)

Delivered end-to-end computer vision solutions for fishery measurements and deployed them as web applications. Built sentiment-analysis and NLP models using Transformers and LSTMs, and forecasted electricity demand by combining multiple ML algorithms.

Computer Vision Web Applications NLP Transformers Machine Learning Forecasting 3D Printing Python

Education

Degrees, certifications, and relevant coursework

Cranfield University

MSc, Applied Artificial Intelligence

2021 - 2022

Activities and societies: Modules: Statistical Learning Methods, Systems Engineering, Intelligent Cyber-Physical Systems, Search and Optimization, Logic and Automated Reasoning, Data Analytics and Visualization, Ethical, Regulatory, and Social Aspects of AI, Deep Learning.

Developed a scalable Machine Learning solution using autoencoders and pose estimation, deployed via AWS to identify alcohol-intoxicated airport passengers with 85% accuracy. Created a web app dashboard for real-time result display. Individual Research Project: Cognitive radar - Dynamic optimization of radar performance based on the perception-action cycle of reinforcement agents.

Kingston University

BSc (Hons), Aerospace Engineering

2017 - 2020

Activities and societies: Modules: Aircraft Systems, Air Transport Economics, Project Engineering and Management, Analytical Techniques, Electronics and Control, Aerospace Design Methods and Materials, Engineering and Mechanical Principles.

Designed an optimal control system for a quadcopter using MATLAB and Simulink. Selected the best-suited aerofoil for a glider, developed a mathematical model to calculate the gliding range, and collaborated with team members to validate numerical solutions.