Yasin Ugur

• Led automation initiatives across a 200+ employee organization, reducing manual workload by 40% across multiple
teams
• Built and deployed 10+ AI-powered internal tools, saving 500+ man-hours/month in repetitive operations
• Architected a centralized internal AI platform enabling employees to access and utilize multiple AI models from a
unified interface.
• Drove adoption of AI tools across teams, reducing manual workload and accelerating internal processes.
• Built an AI agent for the design team that generated creative concepts and automated repetitive design tasks,
increasing design iteration speed by 3x and reducing manual workload by 50%

• Built an agentic AI-based scraping system processing 50+ websites, increasing data extraction coverage by 70%
• Developed a dynamic extraction engine converting unstructured web data and PDF data into structured JSON,
reducing manual parsing effort by 85%
• Integrated multi-strategy extraction (browser automation, pagination, API usage) orchestrated by agentic decision
logic.
• Designed autonomous decision logic reducing scraping failures by 65% across dynamic websites

• Architected and managing a highly scalable Kubernetes infrastructure, ensuring seamless orchestration of
microservices and optimized resource allocation.
• Designed and implementing cloud-native solutions with AWS, leveraging services like EC2, EKS, Spot-instances,
S3, Lambda, and RDS to enhance system efficiency and reduce operational costs by 35%.
• Developed robust CI/CD pipelines with automated testing, security scans, and progressive deployments, ensuring
high availability and zero-downtime releases.
• Enhanced security and compliance by implementing best practices for IAM policies, container security, and
infrastructure-as-code (IaC) methodologies.
• Optimized performance and reliability of distributed systems by conducting in-depth analysis, load testing, and
implementing auto-scaling strategies.

• Utilized Pinecone and various large language models (LLMs) to build a robust Slack bot for enhanced team
collaboration.
• Developed an AI-powered Slack integration to autonomously handle tasks like invoice reconciliation, scheduling,
and customer queries.
• Implemented seamless integration with platforms such as Slack, Jira, and Google to optimize workflows and
improve task automation.
• Contributed to the design and development of headless AI systems for performing human-level knowledge work
autonomously.

• Facilitated student learning by leading discussion sections, holding office hours, and providing individualized
support for students
• Graded assignments and exams, and provide feedback to students
• Collaborated with course instructor to develop and improve course materials, including assignments, exams, and
lecture content

• Optimized large-scale cloud environments in AWS, utilizing auto-scaling strategies, cost monitoring tools, and
serverless computing for maximum efficiency.
• Led the design and development of high-performance APIs and scalable microservices, ensuring seamless integration
with external platforms and third-party services.
• Developed and maintaining integrations with various Loan Origination System (LOS) applications, including
Encompass, Ramquest, and Byte, to streamline financial workflows and enhance user experience.
• Designed event-driven architectures and asynchronous processing pipelines, improving system responsiveness and
scalability.
• Conducted in-depth system performance evaluations, implementing caching mechanisms, and database query
optimizations to boost application speed and reduce latency.
• Implemented advanced security measures, including encryption, API security protocols, and identity management,
to ensure data protection and regulatory compliance.
• Performed rigorous reliability, performance, stress, and duration tests to guarantee system stability under extreme
workloads.
• Drove automation efforts by developing infrastructure-as-code (IaC) solutions using Terraform and AWS
CloudFormation, reducing manual interventions and enhancing operational consistency.

• Developed Promotion functionality, enhancing the platform’s capability to effectively manage and execute
promotional campaigns.
• Contributed to versioning updates for customer-used packages, ensuring seamless transitions and compatibility with
evolving requirements.
• Utilized Apache Spark to process and analyze large volumes of data efficiently, improving overall performance and
scalability.
• Implemented workflows using Apache Airflow to automate and orchestrate complex data pipelines, increasing
operational efficiency.
• Collaborated with cross-functional teams to design and implement reliable system architectures and APIs,
facilitating seamless integration for partner companies.

• Developed Restful APIs using Python Django for ”Hamidiye Su” and ”Decoy” projects
• Utilized asyncron programming and stress testing to ensure high performance and reliability of the projects
• Contributed to code reviews, debugging, and troubleshooting efforts