.png){kind=logo}
RR
Ralish Routray
Mid-level Data Scientist & Machine Learning Engineer specializing in fraud and forecasting
USAMachine Learning Engineer (Contract)5 years experienceMid-LevelFinancial ServicesBankingRetail
ScreenedIdentity Verified
Connect with Ralish
Ralish already has a relationship with Reval, so a warm intro from us gets a much better response than cold outreach.
Recommended
Already have an account?
About
ML/LLM practitioner who has shipped production RAG systems (summarization + Q&A) and end-to-end Airflow-orchestrated demand forecasting pipelines at NEON IT. Strong focus on reliability—uses evaluation scripts, retrieval/chunking tuning, validation/retries/alerts, and stakeholder-driven iteration to make AI workflows consistent and usable.
Experience
Machine Learning Engineer (Contract)JPMorgan Chase & Co.
Data ScientistNEON IT Systems
Education
University of Texas at Dallasmaster, Business Analytics (2023)
Key Strengths
- Built and deployed an LLM-based document summarization + Q&A system via Flask API
- Improved RAG reliability by tuning chunking/retrieval filters and adding evaluation against human-written samples
- Designed reliable Airflow-orchestrated ML pipelines (ingest → features → train → publish forecasts to internal API)
- Hardened pipelines against late/missing data using validation checks, retries, and alerts
- Pragmatic model/prompt selection: tests smaller models first; identifies retrieval vs model as root cause for quality issues
- Effective collaboration with non-technical supply chain stakeholders to translate decisions into model inputs/outputs
Discover more candidates like Ralish
Search across thousands of pre-screened, high-quality, high-intent candidates on Reval.
Search Talent