Open to opportunities

Sai Kumar Reddy

@saikumarreddy

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Aspiring software developer with expertise in cloud technologies and AI.

United States

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What I'm looking for

I am looking for a role that fosters innovation and collaboration, where I can leverage my skills in software development and cloud technologies to contribute to impactful projects.

I am a dedicated software developer currently pursuing my Master of Science in Computer Science at the University of Florida, where I maintain a GPA of 3.8. My passion for technology drives me to create innovative solutions, particularly in the realms of cloud computing and artificial intelligence. I have a proven track record of designing and implementing scalable systems that enhance efficiency and performance.

At the National Science Foundation, I developed a SaaS-based AI-integrator platform that significantly streamlined machine learning workflows, reducing development time by 80%. My experience at Fronesis Solutions involved building scalable backend services and deploying microservices on AWS, where I secured over 50,000 users with robust authentication mechanisms. I thrive in collaborative environments and am committed to delivering high-quality software solutions.

Experience

Work history, roles, and key accomplishments

Current

Software Developer

Current

National Science Foundation

Jan 2024 - Present (2 years 5 months)

Designed a SaaS-based AI-integrator platform to streamline machine learning workflows, reducing development time by 80% and increasing deployment efficiency by 40% through Hugging Face API integration and containerized environments. Enabled efficient fine-tuning of Hugging Face Large Language Models (LLMs) with Parameter-efficient fine-tuning (PEFT), automating environment setup and ensuring seaml

AI Machine Learning Hugging Face Containerization LLM Prometheus Grafana

Software Developer

Fronesis Solutions

Jul 2021 - Dec 2022 (1 year 5 months)

Built and maintained scalable backend services using Spring Boot and GraphQL, reducing API calls by 35% and enhancing application performance. Deployed scalable microservices on AWS EC2 using Docker, cutting reporting times by 20% via PostgreSQL optimization, and secured 50K+ users with JWT authentication. Owned end-to-end development of a User authentication service, integrating Log4j for robust

Spring Boot GraphQL AWS EC2 Docker PostgreSQL JWT Log4j Agile

Machine Learning Intern

TheSmartbridge

May 2020 - Jul 2020 (2 months)

Designed a Natural Language Processing (NLP) framework to extract user opinions and contextual insights from product reviews, enhancing feature-level understanding for business intelligence applications. Fine-tuned Transformer-based language models (BERT) to classify user feedback across multiple categories, improving precision by 18% over baseline models. Developed an NLP module using spaCy and N

Natural Language Processing NLP BERT SpaCy NLTK