
Pratyoosh Kumar
@pratyooshkumar
I build scalable Java microservices and enterprise Generative AI tools for distributed systems.
What I'm looking for
At IBM, I've shipped Generative AI metadata extraction tools using MCP, built classification features around enterprise AI APIs, and improved parallel LLM tool throughput by 50%.
I've spent 8+ years solving distributed-system failures across Java, Kafka, RabbitMQ, Kubernetes, and Python test frameworks—while building automated integration testing adopted across engineering squads.
Experience
Work history, roles, and key accomplishments
Architected and shipped Generative AI metadata extraction tools using Model Context Protocol (MCP), improving throughput by 50%. Served as primary escalation point for cross-service bottlenecks and led production investigations into Kubernetes pod restarts, resolving memory leaks and security vulnerabilities.
Developed comprehensive Java-based testing components, reducing software defect rates by 20%. Engineered workflow automation solutions for enterprise clients, achieving consecutive 9/10 Client Delight Index scores.
Education
Degrees, certifications, and relevant coursework
UCD Michael Smurfit Graduate Business School
MSc, Business Analytics
Grade: 3.6/4.0
MSc in Business Analytics with a GPA of 3.6/4.0.
Amity University
B.Tech, Computer Science Engineering
Grade: 8.2/10
B.Tech in Computer Science Engineering with a GPA of 8.2/10.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Skills
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