Niveda Vusse
@nivedavusse
AI/ML Engineer building scalable LLM, RAG and agent systems in production.
What I'm looking for
I’m an AI/ML Engineer with 3+ years of experience designing and deploying scalable AI systems across NLP, deep learning, and generative AI—especially LLMs, RAG architectures, and prompt engineering. I bring strong hands-on ability in Python, PyTorch, TensorFlow, and SQL, and I build end-to-end solutions that connect models to real workflows through APIs, data pipelines, and distributed systems.
Most recently, I designed LLM-based decisioning for healthcare prior authorization, applying inference across 1,000+ payor policies and improving accuracy by 25% using RAG, prompt engineering, and LoRA/PEFT fine-tuning. I also cut LLM inference latency by 40% through LangChain/LangSmith tracing, FastAPI architecture tuning, and SQL query optimization, while continuously monitoring production outcomes and retrieval quality to iterate toward higher approval accuracy.
Experience
Work history, roles, and key accomplishments
Designed end-to-end LLM-based prior authorization decisioning systems for a Fortune 50 healthcare payor, automating guideline matching across 1,000+ payor policies. Built RAG-powered AI agents that improved decisioning accuracy by 25% and reduced LLM inference latency by 40% through LangChain/LangSmith tracing and FastAPI/SQL optimizations.
Developed and deployed NLP-driven conversational AI chatbots for real-time intent classification, entity recognition, and workflow automation. Improved intent recognition accuracy by 20% using RNN/LSTM tuning, built Flask/SQL APIs with Snowflake storage, and increased data pipeline execution efficiency by 25% using Spark and Prefect.
Education
Degrees, certifications, and relevant coursework
George Mason University
Master of Science, Data Analytics Engineering
2023 - 2025
Master of Science program in Data Analytics Engineering at George Mason University from 2023 to 2025.
National Institute of Technology
Bachelor of Technology, Electrical & Electronics Engineering
2019 - 2023
Bachelor of Technology in Electrical & Electronics Engineering at National Institute of Technology from 2019 to 2023.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Social media
Job categories
Skills
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