SABHYATA KUMARI
@sabhyatakumari
AI/ML engineer building production-ready LLM and multi-agent systems with MLOps, RAG, and reliability discipline.
What I'm looking for
I’m an AI/ML engineer with 2+ years of hands-on experience building machine learning, LLM, and multi-agent AI systems, backed by 11+ years of performance and reliability engineering. I focus on taking AI solutions from proof of concept to production using the same reliability and root-cause discipline I’ve built through large-scale cloud-native operations.
In recent roles, I’ve led end-to-end performance testing and observability improvements, then bridged that expertise into agentic AI and production AI engineering—covering RAG/Graph RAG, LLM orchestration (LangGraph), and MLOps-ready monitoring across logs, metrics, and traces. I’ve also built AI-driven tooling to accelerate delivery (e.g., automating performance test-script creation with LLMs) and developed applied AI systems with explainability and multi-agent workflows.
Experience
Work history, roles, and key accomplishments
AI Intern (Machine Learning)
FlyRank AI
Jun 2026 - Present (1 month)
Built and tested machine learning models for live engineering projects, improving model quality through iteration, experimentation, and team code review.
Research Assistant
National College of Ireland
Feb 2026 - Jun 2026 (4 months)
Built a cloud resource forecasting system using machine learning models trained on large-scale cluster trace data, enabling proactive scaling decisions.
Led end-to-end performance testing for a transportation logistics product, including benchmark, stress, and scalability runs, and introduced an internal LLM-assisted tool to speed up test-script creation.
Senior Performance Engineer
AssureCare
Aug 2021 - Nov 2022 (1 year 3 months)
Ran comprehensive load and stress testing for the MedCompass healthcare platform and analyzed bottlenecks to improve throughput and operational efficiency.
Directed performance testing, tuning, and benchmarking for Dell’s Java-based product suites and validated system behavior under varied load conditions.
Performance Analyst
Genesis Zeal Multi Solutions
May 2014 - Apr 2017 (2 years 11 months)
Developed test automation scripts and executed load and performance tests, analyzing results to produce reports that guided tuning decisions.
Education
Degrees, certifications, and relevant coursework
National College of Ireland
MSc in Artificial Intelligence, Artificial Intelligence
2025 - 2026
Completed an MSc in Artificial Intelligence, including an AI thesis focused on an explainable AIOps platform for cloud-native microservice systems.
Sri Siddhartha Institute of Technology
B.Tech in Computer Science, Computer Science
2010 - 2014
Grade: First Class (1:1)
Earned a B.Tech in Computer Science, graduating with First Class (1:1).
Tech stack
Software and tools used professionally
OpenAPI
Splunk
GitHub
Kubernetes
Jenkins
DB
MySQL
PostgreSQL
MongoDB
Neo4j
Java
Gatling
Apache JMeter
PyTorch
scikit-learn
Streamlit
Kafka
RabbitMQ
FastAPI
Grafana
Kibana
Prometheus
New Relic
GraphQL
gRPC
Elasticsearch
SQL
LoadRunner
XGBoost
ChromaDB
Gremlin
Chaos Mesh
Dynatrace
DSPy
Cosmos
k6
Agentic
LangGraph
LangSmith
Model Context Protocol (MCP)
X++
Availability
Location
Authorized to work in
Portfolio
perfai.streamlit.appJob categories
Skills
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