Varun Peketi

Designed an AI-powered sentiment analysis platform using Python, Flask, and React to analyze over 1 million social posts per week. Integrated OpenAI's GPT API and natural language processing for intelligent trend predictions with 85% forecasting accuracy.

Led scalable micro frontend architecture using React and Webpack, enabling isolated deployment across multiple agile teams. Migrated a legacy monolith to AWS Lambda and API Gateway, reducing latency by 60% and cost by 40%.

Developed scalable backend microservices using Node.js and Go, integrated with AWS Lambda and S3 buckets. Optimized performance of frontend React modules by over 30% using route level code splitting and memoization.

Designed and built RESTful APIs using Spring Boot and Express.js to ingest and process real-time energy telemetry. Developed backend logic and detection models for energy anomaly alerts using Spark streaming and time-series analytics.

Pursued a Master of Science in Computer Science, focusing on advanced topics and research within the field. Developed a strong foundation in theoretical and applied computer science principles.

Completed a Bachelor of Technology in Computer Science, gaining comprehensive knowledge in various aspects of computing. Engaged in coursework and projects that built a solid understanding of software development and computer systems.