About me

I am a Machine Learning Engineer adept at transforming complex challenges into robust, data-driven solutions. With a foundation in computer science, I specialize in the full lifecycle of machine learning, from algorithm selection and model development to designing scalable data pipelines. My approach is characterized by problem-solving and adaptability, underpinned by a drive to craft intelligent tools and compelling visual experiences.

Most importantly, I am always looking for the next topic to learn! :)

What i'm doing

  • design icon

    Pursuing a MSc. degree

    I am pursuing a Master’s at TU Dresden, focusing on the theoretical and applied foundations of AI, with a specialization in Visual Computing for advanced computer vision and image processing applications.

  • Web development icon

    Working as a Machine Learning Engineer

    My work includes optimizing pipelines, automating processes, and ensuring robust performance for real-world machine learning applications, leveraging Google Cloud Platform.

Skills

  • Model Development

    TensorFlow, PyTorch, Scikit-learn, Hugging Face, SpaCy

  • MLOps

    Google Cloud Platform, Docker, FastAPI, Git

  • Data Modeling

    Scikit-learn, PyTorch, OpenCV, spaCy, NLTK

  • Programming

    Python, C++, SQL

  • Scientific Research & Experimentation

    Research Design and Implementation, Data Analysis and Visualization

Testimonials

  • Prof. Niraldo Farias

    Prof. Niraldo Farias

    I am confident that Yanka’s skills of leadership, communication, analytical thinking and team work, along with her adaptability and initiative, would enhance your department’s endeavors to foster a collaborative and productive research environment.

  • Prof. Aydano Machado

    Prof. Aydano Machado

    Yanka demonstrated maturity and a great sense of responsibility with the commitments assumed during her tutoring duties. She was collaborative and able to interact easily and didactically with the students in the courses, showing aptitude for organizing and presenting content/knowledge to others.

  • Naelson Douglas

    Naelson Douglas

    Yanka has some of the best characteristics a developer can have: she is curious, creative and SHE FEARS NOTHING! It was an awesome experience working alongside her!

  • Paloma Lacerda width=

    Paloma Lacerda

    Yanka is highly dedicated and focused on her tasks, and she doesn't let adversities defeat her. I had the opportunity to work with her on several projects, ranging from the implementation of simple to more robust software, and in each of them, she always prioritizes quality in delivery. She stands out mainly for her ability to solve problems efficiently. I look forward to continuing to work on many other projects with her!

Daniel lewis
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Daniel lewis

Richard was hired to create a corporate identity. We were very pleased with the work done. She has a lot of experience and is very concerned about the needs of client. Lorem ipsum dolor sit amet, ullamcous cididt consectetur adipiscing elit, seds do et eiusmod tempor incididunt ut laborels dolore magnarels alia.

Experience

Work

  1. HVAR Consulting, Machine Learning Engineer

    2024 — present

    Developed and deployed advanced computer vision algorithms on the Google Cloud Platform (Vertex AI), achieving an F1-Score rate of 89% in image classification tasks across an imbalanced dataset of over 50000 images and videos, optimizing processing time by 40%. Developed a pipeline for automated SQL query generation based on user input leveraging Gemini model capabilities, training with extensive tabular data stored in BigQuery, achieving 99% accuracy in translating natural language to SQL queries and reducing query development time. Collaborated with cross-functional teams to deliver scalable ML solutions hosted on Cloud Run, improving operational efficiency for energy and safety compliance projects.

  2. IBM Consulting, Data Scientist

    2022 — 2022

    Collaborated directly with clients to understand business requirements, translate them into technical solutions, and deliver actionable insights, ensuring alignment with goals. Developed semi-supervised learning models for multi-class classification, using NLP text manipulation to analyze expense patterns, achieving an average precision of 90% in identifying the most common budget categories. Leveraged Python libraries like Pandas for data manipulation, Scikit-learn for semi-supervised learning models, and NLTK for NLP tasks. Built and deployed the entire pipeline on the client's on-premises infrastructure, utilizing Docker for containerization maintaining data security and compliance.

  3. EDGE Research Lab, Machine Learning Engineer

    2021 — 2022

    Designed and implemented a rule-based NLP engine using spaCy to automatically extract key specifications from government bid documents (often exceeding 50 pages), enabling the development of a product recommendation system that matched client requirements with the company's product catalog. This solution reduced bid losses by 65%. Fine-tuned BERTimbau (PT-BR) using domain-specific vocabulary expansion to enhance complex feature extraction, improving the accuracy of matching technical specifications for CT equipment and adapting to dynamic tender requirements. Partnered with backend developers to build robust web solutions, leveraging RESTful APIs and microservices architecture to deploy models and successfully delivering web applications hosted on the client's domain.

Education

  1. Technische Universität Dresden, TU Dresden, MSc. Computational Modelling and Simulation

    2024 — 2026

    Track Visual Computing

  2. Federal University of Alagoas, UFAL, BSc. Computer Science

    2019 — 2023

    Teaching assistant, twice, for the Computer Science department.
    Member of The Student Academic Office of Computer Science and Engineering (DIACOM).
    Volunteer in outreach programs: AcHA (cybersecurity), IEEE (research and robotics) and GEMA (competitive programming).
    Two undergraduate research internships in the field of Medical Informatics, focusing on ML/DL applications in Ophthalmology.
    Scholarship holder at the Office of International Affairs.
    Final GPA 8.5 out of 10.

Certificates

  1. Associate Machine Learning Engineer, Amazon Web Services

    2025

    See the Credly badge.

  2. Professional Machine Learning Engineer, Google

    2025

    See the Credly badge.

  3. Associate Machine Learning Specialist, IBM

    2022

    See the Credly badge.

  4. Associate Data Scientist, IBM

    2022

    See the Credly badge.

Scholarships & Awards

  1. Career-Builing Scholarship Program, FEMTEC

    2024

    Femtec's Career-Building Programme prepares women technology enthusiasts for future leadership roles in business and science and is dedicated to individual career planning. In three schools, which build upon one another, the participants can learn essential skills for management career while still studying, such as workshops on communication, leadership, and management skills.

  2. Research Scholarship, Google Explore CSR LATAM Undergraduate Research Program

    2024

    The goal of this program is to encourage students at the undergraduate level, especially from underrepresented groups, to pursue Computer Science research and apply to graduate programs. They will participate in workshops and research projects during the Spring 2024 semester to increase the self-efficacy of participants, their sense of belonging, their computer science and research skills, and their motivation to pursue computing research. During this semester, I will work on a Computer Vision project defined by my mentor, Prof. Enzo Ferrante.

  3. Research Scholarship, Aristides Pacheco Leão Program for the Stimulus of Scientific Vocations

    2023

    This program is a public selection of multidisciplinary research projects in partnership with the Brazilian Academy of Sciences (ABC) and the São Paulo Research Foundation (FAPESP). The objective of this initiative is to enable undergraduate students to intern at Research Institutions, being required to be received by researchers who are full members and have registered for the 2023 edition. For 3 months, I was mentored by Prof. Dr. Rubens Belfort at the São Paulo Medical School at the Federal University of São Paulo (EPM-UNIFESP).

  4. Partial Scholarship, Digital Companies & E-business Revolution Course at California State University

    2022

    The selected candidates for this scholarship are undergraduates and graduates with an interest in the field of IT Management and Digital Technologies. They spend 3 weeks at CSUN learning about the processes of Digital Revolution and Industry 4.0, aimed at innovating and providing sustainability to organizations' businesses.

  5. Certificate, 1st Place SECOMP Programming Marathon

    2019

    Issued by the Organizing Committee of the First Computing Week (SECOMP) at the Institute Computing, Federal University of Alagoas.

Portfolio

Publications