Rajasrivatsan Srinivasan
@rajasrivatsansriniva
I build reliable agentic AI systems, evaluation pipelines, and backend data services.
What I'm looking for
I've built backend data services at Ford Motor Company and Tech Mahindra, using Python and SQL to standardize enterprise data, ship validated REST APIs, and improve pipeline reliability by 35% and 36%.
My projects focus on reliable agentic AI: multi-agent orchestration with MCP, prompt and skill evaluation pipelines, policy-grounded prior authorization decisions, and safe text-to-SQL systems. I build in safeguards such as hallucination detection, confidence scoring, human-in-the-loop escalation, structured logging, regression testing, and rule-based fallbacks so AI outputs are explainable and production-ready.
Experience
Work history, roles, and key accomplishments
Designed and built backend data transformation scripts in Python and SQL, integrating data from multiple enterprise systems into a standardized schema. Diagnosed integration failures and improved pipeline reliability by 36 percent.
Built and tested Python and SQL backend services processing operational data and exposing clean, validated outputs through internal REST APIs. Designed schema and endpoint structure for a new reporting service, wrote unit tests, and reduced recurring errors by 35 percent through root cause analysis.
Education
Degrees, certifications, and relevant coursework
University at Buffalo, The State University of New York
Master of Science, Artificial Intelligence
2024 - 2025
Grade: 3.4/4.0
Pursuing a Master of Science in Artificial Intelligence with a GPA of 3.4/4.0.
Sri Chandrasekharendra Saraswathi Viswa Mahavidyalaya University
Bachelor of Engineering, Computer Science
2020 - 2024
Grade: 3.8/4.0
Earned a Bachelor of Engineering in Computer Science with a GPA of 3.8/4.0.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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