











Welcome to my digital space! I'm Lina, and I'm passionate about the intersection of technology and creativity. When I'm not crafting code or bringing robots to life, you'll likely find me exploring the ocean, scaling local rock formations or with a paintbrush in hand, translating my thoughts onto canvas.
My wish is to make this life a wonderful adventure by bridging the gap between people and technology. Even in this tech-driven journey, I hold a deep appreciation for human connections and enjoy having deep conversations about important and/or inspiring ideas.
Also, I love Marmite.
October 2019 – 2025
Key Responsibilities
• Led the design and deployment of deep learning models with TensorFlow and PyTorch to support vision and motion control tasks in robotics, ensuring performance at scale.
• Designed and optimised DSP algorithms and engineered audio processing features using C/C++ and Python.
• Designed and implemented desktop and mobile applications integrating Bluetooth, microcontrollers, interfacing external sensors, and signal-processing hardware for live audio capture and analysis.
• Developed LLM-based applications around various families of models (e.g. GPT, Mistral), including an AI paralegal and conversational agents.
• Architected and implemented diffusion‑based AI models for generative audio apps.
Key Projects
• Precision Motion Control Actuator (2019): Developed a low-cost single-axis precision linear motion control system, reducing the system to a single electromagnet solenoid and spring, replacing linear motors or stepper drivers (90% cost reduction).
The topic involved exploring numerical algorithms for building closed-loop feedback control for a repeatable precision force-controlled actuator.
You can check it out by following this and this link.
• Neural HR Decision Support (2020–2022): Created a neural network-based tool for conducting risk analysis and predicting the integration success of specialists in project teams.
• Proof-of-Concept Interface for Experimental Hearing Treatment (2023–2024): Implemented the software interface layer enabling interaction with an early-stage auditory therapy system, supporting research and functional testing.
• Enterprise AI Chatbot (2024): Conceptualised an in-house generative AI assistant backed by a robust RAG architecture with layered safeguards, streamlining internal knowledge access and compliance as well as for prompt and informed legal consultations.
October 2021 - January 2023
Key Responsibilities
• Responsible for all data science and machine learning activities at Senseven GmbH.
• Designed and implemented an ultrasound-based AI solution for defect detection in industrial systems (valves, bearings, steam traps, among others).
• Applied feature engineering and signal processing methods to extract relevant information from raw audio files.
• Owned end‑to‑end ML lifecycle: data processing, feature engineering, model training, and deployment (local and AWS).
• Collaborated with clients to define ground-truth annotation processes and supervised quality control to deliver accurate, analysis-ready datasets.
September 2018 - October 2019
Key Responsibilities
Taught courses in the field of Full-Stack Web-Development according to the following curriculum:
• Front-End Web-Development:
Version Control (Git/GitHub), HTML5, CSS3 (SASS), JavaScript, jQuery, Bootstrap,
Project Documentation, TypeScript, Angular Framework
• Back-End Web-Development:
SQL (MySQL), SCRUM & Requirements Engineering, PHP, AJAX, Symfony PHP Framework,
WordPress, Software Testing, Complementary Skills
Developed the curriculum and launched a brand-new Data Science Track, consisting of:
• Python Programming course
• Data Analysis and Visualisation course
• Machine Learning course
November 2017 - September 2018
Key Responsibilities
• Developed a cross-network social media data mining platform using Python and Selenium.
• Implemented Machine Learning and NLP pipelines in Python and R for fraud detection and to classify user sentiment.
• Led exploratory data analysis (focus on business analysis and telecommunication data).
• Performed data enrichment to enhance dataset quality and analytical value.
• Designed and implemented data analytics visualisation using custom-built solutions and Python libraries to convey complex insights clearly and effectively.
• Conducted large-scale statistical analysis by developing a novel statistical path tracing approach to detect and quantify correlations in telecommunications network performance and user behaviour data (using C and Python).
• Produced detailed analytical documentation and managed client-facing project records to ensure accuracy and transparency.
October 2012 - June 2017
Key Responsibilities
Provided English–Russian interpretation in both simultaneous and consecutive modes across a wide range of international
events and official meetings.
Covered topics spanning politics, history, technology, economics, and athletics—requiring adaptability,
subject-matter agility, and professionalism in high-stakes, multilingual environments.
+65 8615 0716
(for business inquiries only)