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Charu Sneha L RCR
Open to opportunities

Charu Sneha L R

@charusnehalr

I build production AI agents, RAG search systems, and scalable NLP pipelines.

United States
Message

I've built production AI systems at RoundTechSquare and Rocket Mortgage, from agentic chatbots with tool calling and memory to NLP pipelines processing more than 2 million monthly mortgage transactions.

At RoundTechSquare, I shipped a ReAct-style agentic chatbot with 8+ tools, validation guardrails, tracing, Redis and PostgreSQL memory, and JWT-secured APIs. I helped achieve 92% tool-call accuracy, reduced hallucinated tool arguments by 55%, and sustained 1.3s p95 latency under concurrent production load on GCP.

At Rocket Mortgage, I engineered PyTorch, BERT, and CRF document intelligence pipelines over Kafka streams, reducing manual annotation and verification work by 70%. I also improved GPU inference latency and delivery reliability while building semantic onboarding that increased underwriter throughput from 18 to 25 documents per hour.

Outside work, I build RAG search, multi-agent contradiction detection, and condition-aware wellness products using React, FastAPI, Next.js, vector search, LLM APIs, and production observability.

Experience

Work history, roles, and key accomplishments

JF

Data Analyst Intern (Operational Analytics)

JK Fenner

Jan 2021 - Mar 2021 (2 months)

Processed 10,000+ machine telemetry logs using Python and Pandas, building Power BI dashboards that contributed to a 15% increase in machine utilization. Built anomaly-detection pipelines with isolation forest models, flagging 340+ anomalies with low false positive rate.

Education

Degrees, certifications, and relevant coursework

Arizona State University logoAU

Arizona State University

Master of Science, Software Engineering

2024 -

Grade: 4.0/4.0

Pursuing a Master of Science in Software Engineering with a perfect GPA of 4.0.

Anna University (TCE) logoAT

Anna University (TCE)

Bachelor of Engineering, Computer Science

2019 - 2023

Grade: 3.82/4.0

Earned a Bachelor of Engineering in Computer Science with a GPA of 3.82/4.0.

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