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Ayush Kiledar

@ayushkiledar

I build agentic AI workflows, RAG systems, and scalable ML microservices that reduce costs and improve outcomes.

United States
Message

What I'm looking for

I'm looking to build high-impact AI and ML systems, especially agentic workflows, RAG applications, and scalable backend platforms that deliver measurable operational and cost improvements.

At Accenture, I build AI systems for the Boston Public Health Commission and Deet Hink Health, including MCP frameworks, multi-agent workflows, and HIPAA-compliant RAG pipelines.

I've reduced LLM token consumption by 32%, helped mitigate $1.2M in budgetary overages, improved text classification accuracy by 25%, and supported 1,000+ concurrent requests at 99.9% availability.

Previously at Broomling Technologies, I built ML-powered real estate recommendations, document extraction pipelines, and AWS-based processing systems. I also develop retrieval, benchmarking, and observability projects for LLM applications.

Experience

Work history, roles, and key accomplishments

Accenture logoAC
Current

ML Software Engineer

Jan 2025 - Present (1 year 9 months)

Architected custom MCP frameworks and deployed NLP models on Azure for public health data analysis, reducing LLM token consumption by 32% and improving evaluation quality scores. Also led agentic AI workflows for healthcare clients, mitigating $1.2M in budget overages.

Education

Degrees, certifications, and relevant coursework

Northeastern University logoNU

Northeastern University

Master of Science, Information Systems

Grade: 3.83/4

Pursuing a Master of Science in Information Systems with a GPA of 3.83/4.

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