Hello Everybody, I am
Kaloyan Rusev
Software and Machine Learning Engineer
I am a UCL MEng Computer Science graduate, looking for junior machine learning engineer positions!
I am a UCL MEng Computer Science graduate, looking for junior machine learning engineer positions!
I am a results-driven, hard-working and very ambitious. I have graduated with a First Class Honurs MEng Computer Science degree in University College London. My degree was mostly focused on Machine Learning with emphasis on NLP and RL.
Sep 2019 - Jun 2023
Master's Project: Safe Model-based RL with Neural Network Ensembles (Advisor: Prof. Marc Deisenroth)
Relevant modules: Supervised Learning, Deep Representation and Learning, Machine Learning for Visual Computing, Statistical
NLP, Reinforcement Learning, Robotic Systems, Multi-agent AI, Distributed Systems and Security
Sep 2014 - Jun 2019
Maths State Maturity Exam: 6.00 / 6.00 (A* equivalent)
March 2017 to present
Senior Web Developer
Santa monica, Los angeles
March 2017 to present
Senior Web Developer
Santa monica, Los angeles
March 2017 to present
Senior Web Developer
Santa monica, Los angeles
Sep 2023 - Present
After completing a successful internship, returned as a full-time employee in the Global Compliance team
Part of the team's re-architecturing efforts for the US and Canada parts of the compliance system,
as well as solving high-priority issues for our customers
Sep 2023 - Present
Guiding and supporting master's students as a Teaching Assistant for UCL's “Real-world Multi-agent Systems” module, assisting
in the deployment and optimization of AI models on wheeled robots
Facilitating a dynamic, hands-on learning experience, troubleshooting AI model deployments, and providing strategic
recommendations for improved performance in a collaborative hackathon-style lab environment
May 2023 - Jul 2023
Led the development of a Large Language Model by selecting the optimal open-source LLM, fine-tuning it and optimising it for
diverse topic conversations using advanced natural language processing techniques
Developed and implemented machine learning recommendation algorithms, incorporating the latest research in collaborative and
item-item filtering to deliver highly personalized content and product recommendations
Jun 2022 - Sep 2022
Built and integrated a feature allowing both customers and support staff to force a file download, reducing time required to check whether a VG installation is successful from over 2 hrs to under 2 mins
Created a new report page allowing managers to monitor drivers nearing an infringement, saving clients over £5m a year in fines
Improved the performance of the 2 slowest GraphQL endpoints, used for the report, reducing the page load time 10 times
Jun 2021 - Sep 2021
Collaborated in a team with mechanical and biomedical engineers to build a bioreactor for experiments and data collection
Developed a machine learning model, achieving 99% accuracy in predicting nutrients consumption and ethanol yield during
fermentation in the bioreactor in various environmental conditions
Engineered the model to be extendible to simulate production of any bioproduct, hence having large applicability in the field of
biochemical engineering
Sep 2020 - Mar 2021
Provided support to 8 first-year CS students through virtual meetings on a weekly basis and organised 'ice-breaker' activities to help them build relationships with their peers during the pandemic
Drawing from my own experience of studying computer science, I assisted with academic difficulties, organised pair programming sessions, answered administrative queries and directed my mentees towards mental health and other support services
