Experienced software engineer with over 3 years in full software development lifecycle (SDLC), specializing in AI-assisted engineering tools and automation workflows. Skilled in designing and implementing reliable AI agents for code review, testing, and deployment using Python, TypeScript, and Go, integrating with CI/CD pipelines and GitHub workflows to enhance engineering productivity. Proven ability to collaborate with stakeholders and client engineering teams to deliver scalable, secure systems with audit logging, permission models, and rollback capabilities. Strong expertise leveraging LLM APIs, vector databases, and model evaluation frameworks to build robust AI-driven solutions that improve code quality and operational efficiency.

Sasidhar Bommisetty

Experienced software engineer with over 3 years in full software development lifecycle (SDLC), specializing in AI-assisted engineering tools and automation workflows. Skilled in designing and implementing reliable AI agents for code review, testing, and deployment using Python, TypeScript, and Go, integrating with CI/CD pipelines and GitHub workflows to enhance engineering productivity. Proven ability to collaborate with stakeholders and client engineering teams to deliver scalable, secure systems with audit logging, permission models, and rollback capabilities. Strong expertise leveraging LLM APIs, vector databases, and model evaluation frameworks to build robust AI-driven solutions that improve code quality and operational efficiency.

Available to hire

Experienced software engineer with over 3 years in full software development lifecycle (SDLC), specializing in AI-assisted engineering tools and automation workflows. Skilled in designing and implementing reliable AI agents for code review, testing, and deployment using Python, TypeScript, and Go, integrating with CI/CD pipelines and GitHub workflows to enhance engineering productivity.

Proven ability to collaborate with stakeholders and client engineering teams to deliver scalable, secure systems with audit logging, permission models, and rollback capabilities. Strong expertise leveraging LLM APIs, vector databases, and model evaluation frameworks to build robust AI-driven solutions that improve code quality and operational efficiency.

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Experience Level

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Expert
Expert
Intermediate
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Work Experience

Software Engineer at State Street
January 1, 2025 - Present
Engineered AI-assisted code review agents using Python and TypeScript, automating pull request generation and risk analysis for 15,000+ commits monthly, reducing manual review time by 45% and improving code quality. Designed and implemented permission models and audit logging systems integrated with GitHub APIs for secure approval workflows and traceability across 50+ engineering teams. Developed scalable AI agent orchestration workflows leveraging LLM APIs and vector databases for context-aware task planning and prompt management, supporting 200,000+ queries per month with sub-100 ms latency. Automated testing and benchmarking suites for AI agents using Python frameworks, improving agent quality evaluation coverage by 60% and enabling rapid rollback on failure detection. Collaborated cross-functionally to integrate AI-assisted release summarization and approval request agents into CI/CD pipelines, handling 10,000+ deployments monthly and reducing release cycle time by 30%. Implement
Software Engineer at HCLTech
July 1, 2020 - June 1, 2023
Engineered AI-assisted code review tooling using Python and TypeScript, implementing static code analysis and automated code review tools to increase defect detection rate by 50% and accelerate development cycles. Optimized SQL database queries and indexing strategies, reducing average query latency from 120 ms to 45 ms for reporting systems. Collaborated with product and QA teams to design and deploy scalable microservices architectures supporting 100,000+ concurrent users with high availability. Led automation of business process management workflow automations, cutting manual processing time by 40% and improving operational accuracy. Built RESTful APIs and integrated CI/CD pipelines using GitHub Actions and Docker to reduce deployment times and improve rollback capabilities.

Education

Master's in Computer and Information Sciences at Saint Louis University
August 1, 2023 - May 1, 2025

Qualifications

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Industry Experience

Software & Internet