
Ayush Kiledar
@ayushkiledar
I build agentic AI workflows, RAG systems, and scalable ML microservices that reduce costs and improve outcomes.
What I'm looking for
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
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
Master of Science, Information Systems
Grade: 3.83/4
Pursuing a Master of Science in Information Systems with a GPA of 3.83/4.
Tech stack
Software and tools used professionally
GitHub
Kubernetes
Docker Compose
Jenkins
GitHub Actions
NumPy
Pandas
DB
MySQL
PostgreSQL
MongoDB
Node.js
Redis
Terraform
Jira
JavaScript
Java
JSON
PyTorch
scikit-learn
Kafka
FastAPI
Prometheus
Linux
AWS Lambda
Serverless
Azure Functions
GuardRails
SQL
Amazon SageMaker
Azure Cosmos DB
Hugging Face
LangChain
Ollama
Pydantic
Foundry
Pinecone
Harness
Cosmos
Agentic
Faiss
LangGraph
Azure AI Foundry
Availability
Location
Authorized to work in
Job categories
Skills
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