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Priyanka Cheruku

@priyankacheruku

Message

I build scalable GenAI, NLP, and data pipelines that improve hiring products.

India

Message

What I'm looking for

I'm looking to build and deploy scalable GenAI, agentic AI, NLP, and data-pipeline solutions where measurable product outcomes, efficient AI systems, and hands-on technical ownership matter.

At Centific, I optimize synthetic compliance-data generation and Hybrid RAG retrieval, producing 500K+ records, reducing validation cycles by 35%, and improving rule retrieval accuracy by 8–10%. I also built LLM-as-a-Judge validation with RAGAS metrics to reduce manual review by 30%.

Previously at Phenom, I improved FitScore through embedding optimization, education taxonomy scoring, Snowpark feedback integration, and BERT migration, while building Kafka pipelines processing 4M+ daily events and agentic job-suggestion flows. I work across Python, LLM fine-tuning, RAG, Snowflake, FastAPI, and AWS to turn AI and data systems into measurable product outcomes.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Scientist

Current

Centific

Nov 2025 - Present (10 months)

Optimized synthetic IRM data generation pipeline to produce 500K+ records, reducing validation cycles by 35%. Enhanced Hybrid RAG retrieval with Cross-Encoder reranking, improving rule retrieval accuracy by 8-10%.

Python RAG LLM As A Judge Ragas Regex Data Pipelines