I am a versatile Software Development Engineer with over three years of experience designing and deploying cloud-native applications, scalable microservices, and high-throughput ETL pipelines. I excel at modernizing legacy systems and implementing CI/CD pipelines, ensuring performance and reliability in distributed systems. My expertise extends to building end-to-end Generative AI solutions using the latest technologies such as GPT-4 and LangChain, specializing in prompt engineering, semantic search, and real-time LLM inference. I have worked on various projects that combine software development, data science, and AI, ranging from financial retail applications to intelligent chatbots and scalable data pipelines. My professional journey has shaped me into a developer who values automation, efficiency, and proactive system monitoring, capable of delivering robust solutions in fast-paced environments.

Sai Saketh Chamarthi

I am a versatile Software Development Engineer with over three years of experience designing and deploying cloud-native applications, scalable microservices, and high-throughput ETL pipelines. I excel at modernizing legacy systems and implementing CI/CD pipelines, ensuring performance and reliability in distributed systems. My expertise extends to building end-to-end Generative AI solutions using the latest technologies such as GPT-4 and LangChain, specializing in prompt engineering, semantic search, and real-time LLM inference. I have worked on various projects that combine software development, data science, and AI, ranging from financial retail applications to intelligent chatbots and scalable data pipelines. My professional journey has shaped me into a developer who values automation, efficiency, and proactive system monitoring, capable of delivering robust solutions in fast-paced environments.

Available to hire

I am a versatile Software Development Engineer with over three years of experience designing and deploying cloud-native applications, scalable microservices, and high-throughput ETL pipelines. I excel at modernizing legacy systems and implementing CI/CD pipelines, ensuring performance and reliability in distributed systems. My expertise extends to building end-to-end Generative AI solutions using the latest technologies such as GPT-4 and LangChain, specializing in prompt engineering, semantic search, and real-time LLM inference.

I have worked on various projects that combine software development, data science, and AI, ranging from financial retail applications to intelligent chatbots and scalable data pipelines. My professional journey has shaped me into a developer who values automation, efficiency, and proactive system monitoring, capable of delivering robust solutions in fast-paced environments.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate

Language

English
Advanced

Work Experience

Software Developer at The Vanguard Group
January 1, 2023 - Present
Led modernization of the Reprint Application by re-architecting legacy infrastructure into a serverless AWS stack, reducing infrastructure costs by 40% and improving resilience. Automated infrastructure deployment with CloudFormation and GitHub Actions, reducing manual tasks by 90%. Developed serverless data pipelines using Glue, Lambda, RDS, and Workflows, improving ETL runtime efficiency by 50%. Built RESTful APIs using Spring Boot achieving sub-100ms latency, and validated system reliability with failover simulations. Integrated monitoring with Splunk and CloudWatch leading to 45% reduction in incident resolution time. Delivered secure S3-to-S3 file transfer system using Lambda and SQS for encrypted asynchronous data exchange.
Data Science Intern at Salcit Technologies
January 1, 2021 - August 21, 2025
Developed scalable data ingestion pipelines automating respiratory health data processing, reducing manual effort by 60%. Applied signal denoising and segmentation to audio lung data to improve classification model accuracy. Created multi-label disease classification models achieving 85% accuracy supporting early pulmonary condition detection. Enhanced model performance via stratified k-fold cross-validation and hyperparameter tuning, improving F1-score by 20%.
Application Development Intern at Exaact Compusoft Solutions
June 1, 2020 - August 21, 2025
Built desktop facial recognition system integrating AWS Rekognition and S3 to reduce manual ID verification by 65%. Designed Tkinter GUI for real-time photo capture and auto-tagging improving usability for non-technical users. Architected DynamoDB schema with indexed queries enabling sub-200ms search latency across 10,000+ image records.

Education

Master of Science in Computer Science at University of Illinois Chicago, IL
January 11, 2030 - December 1, 2022
Bachelor of Technology in Computer Science Engineering at SRM University, India
January 11, 2030 - May 1, 2020

Qualifications

Add your qualifications or awards here.

Industry Experience

Financial Services, Software & Internet, Healthcare, Life Sciences