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@varunpeketi
Full Stack Developer with expertise in AI and cloud technologies.
I am a dedicated Full Stack Developer with a strong background in designing and implementing innovative software solutions. My experience includes developing an AI-powered sentiment analysis platform that processes over a million social media posts weekly, utilizing Python, Flask, and React. I have successfully integrated OpenAI's GPT API for intelligent trend predictions, achieving an impressive 85% forecasting accuracy.
At Tricubic Inc., I led the migration of a legacy monolith to AWS Lambda, significantly reducing latency and costs while enhancing system performance. My passion for mentoring has allowed me to guide engineers in best practices for React and Node.js, fostering a collaborative and efficient work environment. I thrive on challenges and continuously seek opportunities to optimize processes and improve user experiences.
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Work history, roles, and key accomplishments
Syracuse University
Aug 2024 - Present (1 year 3 months)
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.
Tricubic Inc.
Aug 2022 - Jul 2024 (1 year 11 months)
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%.
Cognizant Technology Solutions
Oct 2021 - Jul 2022 (9 months)
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.
Valen Tech
Jul 2020 - Sep 2021 (1 year 2 months)
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.
Degrees, certifications, and relevant coursework
Master of Science, Computer Science
2022 - 2024
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.
Bachelor of Technology, Computer Science
2017 - 2021
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.
Software and tools used professionally
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