Sai Kiran Siddhabathula

Assisted in delivering Big Data concepts and practical exercises, supporting student learning and problem-solving in distributed computing.

• Assisted in teaching concepts of distributed computing, Hadoop, Spark, and big data architectures to enhance student comprehension.
• Mentored over 40 students on Python, SQL, and data engineering assignments, fostering skill development and project success.
• Designed practical lab sessions and exercises for real-world big data pipelines, providing hands-on experience.
• Evaluated assignments and provided detailed feedback, strengthening student problem-solving and analytical skills.

Led the redesign and maintenance of the student union website, enhancing user experience and operational efficiency through modern web technologies.

• Rebuilt and maintained the student union website using React.js and Firebase, significantly improving load time and accessibility for the student body.
• Integrated secure login, event scheduling, and payment modules, streamlining student services and enhancing operational efficiency.
• Developed analytics dashboards to measure engagement, boosting participation in campus activities by providing data-driven insights.
• Automated content updates and optimized hosting for scalability, ensuring reliable performance for all users.
• Coordinated with cross-functional teams (administration, IT, student reps) to gather requirements and deliver comprehensive web solutions.

Provided expert-level solutions and explanations for advanced computer science problems, supporting global student learning and exam preparation.

• Solved over 1000 advanced computer science problems spanning algorithms, data structures, and system design, demonstrating deep technical expertise.
• Authored detailed explanations and optimized solutions for a global student audience, enhancing comprehension and learning outcomes.
• Supported students in preparing for exams, interviews, and coding assignments, contributing to their academic and career success.
• Consistently ranked among top contributors for accuracy and responsiveness, maintaining high quality and timely support.

Developed and optimized backend systems and ETL workflows for insurance operations, enhancing performance and deploying solutions across cloud environments.

• Built robust REST APIs and microservices with Java Spring Boot, supporting critical insurance workflows for claims, underwriting, and policy issuance.
• Developed ETL workflows in Python and SQL to automate insurance reporting and compliance checks, ensuring data accuracy and regulatory adherence.
• Migrated legacy processes to AWS (S3, Lambda, RDS), improving system performance and significantly reducing downtime.
• Implemented CI/CD pipelines using Jenkins and GitHub, cutting deployment time by 40% and enhancing release efficiency.
• Conducted peer code reviews and mentored junior engineers on backend and cloud best practices, fostering team growth and code quality.

Engineered backend modules and optimized data processes for customer-facing insurance portals, improving system performance and ensuring production stability.

• Developed backend modules in Java and React.js for customer-facing insurance portals, enhancing user experience and functionality.
• Optimized SQL queries and batch jobs, reducing response times for data-heavy processes and improving system efficiency.
• Collaborated with Business Analysts to gather requirements and deliver production-ready features, ensuring alignment with business needs.
• Automated regression testing pipelines, improving release quality and significantly reducing manual QA effort.
• Provided L3 support during critical production incidents, resolving issues within strict SLAs and maintaining system uptime.

Supported software development and quality assurance for insurance product enhancements, contributing to API integration and Agile practices.

• Designed Python scripts to automate repetitive QA and data validation tasks, improving testing efficiency.
• Supported development of Java modules for insurance product enhancements, contributing to feature delivery.
• Assisted in API integration testing and bug fixing for web applications, ensuring functional stability.
• Learned and applied Agile development practices, actively contributing to daily stand-ups and sprint planning.

Building an AI multi-agent platform using LangChain and AutoGen, integrating various cognitive services for contextual memory and workflow orchestration.

Applied machine learning models and conducted extensive data analysis to predict customer churn and propose retention strategies.

Implemented and optimized a backtracking and constraint satisfaction approach to solve the classical N-Queens problem.

Developed a Python-based web scraper to track Amazon product prices and automate price alerts.

Developed an IoT-based application transforming a smartphone into a wireless mouse, enhancing accessibility.