Rabia Konuk Uras

Rabia Konuk Uras EDUCATION Contact- Ph.D. in Mechanical Engineering (Incomplete) - University of Michigan www.linkedin.com/in/rabia-konuk- Ann Arbor, MI, USA b-/ August 2023 – September 2024 Istanbul / Turkey Focus: Autonomous vehicles, data-driven control, and generative AI Awarded competitive fellowship for academic excellence. GPA: 3.75/4.00 About B.Sc. in Mechanical Engineering Analytical and research-driven professional with a robust foundation in Bogazici University mechanical September 2017 - January 2023 engineering, artificial intelligence, and data science. Experienced in Models (LLMs) Language leveraging for GPA: 3.00/4.00 Large real-world High School applications, particularly in the development of adaptive control systems and Aydin Science High School intelligent agents. Former Ph.D. researcher with cross- 2013 - 2017 disciplinary GPA: 3.84/4.00 (96/100) expertise in control theory, simulation, and algorithmic development for autonomous systems. Adept at working across academic, corporate, and EXPERIENCE start-up environments, delivering value through deep Data Scientist & Consultant (Contract) technical knowledge, strategic thinking, and Feraset hands-on project execution. Passionate about April 2025 - June 2025 driving innovation through data-centric design and AI-powered systems, with a proven ability to work in dynamic, high-impact teams. • Designed and implemented a multi-phase Weibull-based forecasting framework to predict weekly, yearly, and IAP (in-app purchase) subscription as well as subscription renewal rates decay across iOS and Languages Turkish (Native) English (Professional) German (Elementary) Android platforms. • Developed log-linear and linear regression models to forecast Week-0 monetization outcomes from Day-0 signals, supporting rapid revenue estimation for major apps (Aura, Hexa, Livensa, Music AI). • Segmented cohorts by install week and operating system, ensuring statistical reliability through filtering, normalization, and phase-based modeling (e.g., DRD’s 5-phase sales decay segmentation). Skills • Programming & Tools: Python, MATLAB, Simulink, SQL, Git, Unreal Engine, LaTeX • AI & ML: LLMs (OpenAI, LangChain, Anthropic), Scikit-learn, HuggingFace, • Automated evaluation of model performance using R², fit diagnostics, and parameter tuning across 3 monetization channels (plus renewals) and 8 app–OS combinations. • Enabled key business insights in LTV estimation, churn behavior, and monetization forecasting, informing platform-specific product and revenue strategies. PyTorch Product Specialist • Control Systems: MPC, PID, State-Space, Good Job Games Kalman Filtering • Simulation & Modeling: CarSim, Simulink, February 2025 - March 2025 SUMO • Data Science: Forecasting, regression, timeseries, visualization • Designed, iterated, and balanced 10 production-ready levels for “Match Villains”, ensuring progressive difficulty, dynamic pacing, and engaging player progression. • Performed detailed gameplay deconstruction and competitor analysis to identify design gaps and recommend contributing directly to the product roadmap. novel chapter mechanics, Skills • 3D CAD & Manufacturing: SolidWorks, AutoCAD, laser welding, additive • Performed QA to define test coverage and scenario matrices, streamlining defect discovery and reducing turnaround time for initial play-tests. • Completed trial period; chose not to continue as the role aligned more with level design and deep mobile gaming specialization. manufacturing Graduate Researcher • Strategic problem-solving and technical University of Michigan writing September 2023 - September 2024 • Cross-functional collaboration and leadership • Rapid prototyping, research planning, and iteration • Leading a research project focused on enhancing Model Predictive Control (MPC) systems with Large Language Models (LLMs) to improve the adaptability and intelligence of autonomous vehicles. • Simulating autonomous driving scenarios to test and refine the algorithm, References Will be provided upon request. which integrates: • Data gathering from simulations to provide real-time feedback. • Dynamic adjustment of MPC parameters using LLM agents for improved decision-making. • Implementation of low-level control algorithms for precise execution. • Aiming to replace static MPC parameters with dynamic, real-world adaptive systems, utilizing agents created in a unique chain-of-thought structure. • Combining control theory with data-driven AI methodologies to bridge the gap between classical and modern control approaches. • Pursued advanced intensive coursework in system theory, autonomous vehicles, generative AI systems, and data-driven control systems to support research objectives and expand technical expertise. System Engineer & Business Solutions Intern SAS Institute November 2022 - August 2023 • Collaborated on data science projects to address business intelligence challenges, leveraging IoT solutions from SAS for the manufacturing and retail sectors. • Performed data analyses using various SAS products and open-source tools to derive actionable insights across multiple industries. • Gained a broad understanding of real-time business operations, enhancing knowledge of industry-specific practices and data-driven decision-making. • Provided data consultancy to current and potential business partners, delivering tailored solutions for their specific data applications. • Conducted hands-on proof-of-concept demonstrations and presentations, customized to meet customer profiles and unique data requirements as part of customer advisory services. • Developed strong soft skills, including communication, problem-solving, and teamwork, to effectively collaborate across diverse teams and stakeholders. Undergraduate Researcher University of Michigan December 2021 - December 2022 • Specialized in mathematical models such as Gipps, IDM, and OVM to simulate human driver behavior and car-following dynamics. • Gained expertise in autonomous vehicle algorithms and vehicle-to- vehicle (V2V) communication patterns for enhanced traffic flow analysis. • Analyzed the impact of drive cycles and vehicle types on car-following scenarios, modeling diverse driver behaviors to predict dynamic traffic interactions. • Developed powertrain models for electric vehicles (EVs), hybrid-electric vehicles (HEVs), and internal combustion engine vehicles (ICEVs) to evaluate energy efficiency and performance. • Performed advanced statistical analyses to identify correlations within modeling data, improving accuracy and predictive capabilities. Undergraduate Researcher Massachusetts Institute of Technology November 2022 - January 2023 • Acquired an in-depth understanding of plastic strain distribution, localization, and microstructural characterization. • Gained proficiency in digital image correlation (DIC) at the microstructure level, utilizing tools like Ncorr for strain analysis and visualization. • Developed algorithms to correlate material strain with microstructural data, enhancing predictive modeling capabilities for material science applications and improving accuracy in material behavior simulations. Undergraduate Researcher Politecnico di Milano July 2022 - September 2022 • Secured funding through the EU Erasmus+ program to support research initiatives. • Operated laser welding and laser marking systems utilizing digital drawings and CAD/CAM software. • Conducted metallographic cross-section preparation for process characterization and quality analysis. • Analyzed optical microscopy data and performed surface profilometry measurements to ensure product quality and precision. • Gained comprehensive knowledge of laser welding applications in emobility projects, specifically signal processing for hairpin applications. • Acquired practical experience with laser powder bed fusion processes and operated 3D-NT machines for additive manufacturing. R&D Engineer Intern Mercedes-Benz Turk August 2021 - June 2022 • Participated in the design and development of various R&D projects, including mass-production vehicles, prototype vehicles, customer- specific special request vehicles, and early-phase electric vehicles. • Designed multiple interior bus components during the rotation and these projects, gaining hands-on experience across various interior subdepartments and enhancing technical and engineering skills. • Researched and authored versions of the EVO 130.70 standard, a Daimler Bus EU safety regulation, establishing new quality requirements for safety windows in vehicle glazing. • Developed strong project management skills, ensuring projects adhered to timelines, specifications, and quality standards. • Applied foundational quality engineering practices to ensure product reliability, safety, and compliance. • Collaborated effectively within a diverse, international team, strengthening interpersonal and cross-cultural communication abilities. Online Energy Intern Shell October 2020 - November 2020 • Conducted research on renewable energy sources within Turkey, focusing especially on solar energy utilization and the strategic transition of Shell from fossil fuels to renewable energy solutions. • Analyzed market trends, technological advancements, and policy frameworks to support Shell’s commitment to sustainable energy. • Collaborated with a team to develop and present actionable strategies and solutions for Shell’s transformation into a renewable energy company. Mechanical Engineering Intern Borusan Caterpillar January 2021 - July 2021 • Participated in the design and integration of generator systems for largescale industrial plants, ensuring optimal performance within built environments or containerized solutions. • Coordinated the selection and assembly of generator components, guided by fluid dynamics calculations and system integration requirements. • Oversaw engineering processes from conception to operation, focusing on durability, efficiency, and compliance with industry standards. • Worked in close partnership with Caterpillar, utilizing their documentation to align design specifications with their high-quality power systems for industrial applications. R&D Engineer Intern Simularge Technologies June 2020 - August 2020 • Contributed to project development for thermoforming processes and FDM 3D printing technology. • Engaged in comprehensive research to support internal project advancement and technological innovation. • Represented the company at technology fairs, showcasing digitalization and decision-making software solutions. • Successfully applied for multiple SME R&D startup support programs, securing acceptance for several. • Collaborated closely with the CEO to support internal operations. Finance 101 Online Intern QNB Financebank July 2020 - August 2020 • Completed finance fundamentals program, gaining exposure to the structure of banking operations.