Alekhya Dudyala

•Contributed to AI-enabled solutions supporting multiple phases of the software development lifecycle, including requirement understanding, development, testing support, and product delivery improvements.
• Applied machine learning and computer vision concepts using Python and TensorFlow to support intelligent automation and decision-support workflows.
• Worked with structured and unstructured data to support decision-making processes and improve system efficiency.
• Participated in cross-functional discussions to understand business objectives and translate them into technical implementation approaches.
• Used debugging and troubleshooting techniques to improve system stability and ensure smooth integration of backend services.
• Assisted in monitoring system performance indicators and KPIs to identify improvement areas in application workflows.
• Supported configuration management practices ensuring consistency across development and deployment environments.
• Contributed to documentation of workflows, supporting communication between technical teams and business stakeholders.

Environment: Python, C++, TensorFlow, Machine Learning, REST APIs, AWS, Microservices, CI/CD, Configuration Management, Grafana, JIRA, Confluence, SQL, Excel

• Developed backend features aligned with SDLC principles, supporting structured product lifecycle and change management processes.
• Implemented unit and integration testing approaches improving application reliability and attention to detail in feature validation.
• Optimized SQL queries and service logic improving performance KPIs such as response time and system efficiency.
• Worked with cross-functional stakeholders to understand functional requirements and support business case objectives.
• Applied troubleshooting and debugging techniques resolving configuration-related issues in enterprise applications.
• Supported version control and CI/CD workflows ensuring stable product delivery cycles.
• Maintained technical documentation ensuring clarity of product ecosystem architecture and system workflows.

Environment: Java, SQL, Spring, REST APIs, Linux, CI/CD, JUnit, Selenium, Git, Configuration Management

• Analyzed structured datasets using Python and Excel to support business objectives and operational decision-making.
• Assisted in developing analytical workflows supporting KPI measurement and performance evaluation.
• Applied machine learning techniques for identifying patterns supporting predictive analytics use cases.
• Worked with IoT-generated datasets contributing to automation and smart system insights aligned with Industry 4.0 initiatives.
• Supported documentation of analytical results improving communication of insights to cross-functional teams.
• Applied structured problem-solving approaches improving clarity of business case insights and recommendations.

Environment: Python, SQL, Excel, Data Analysis, Machine Learning basics, IoT Analytics, Data Integration