Navya M

About Navya M

Machine Learning Engineer with 4+ years of experience building production-grade AI systems across NLP, deep learning, and multi-agent architectures. I specialize in designing LLM-powered agentic workflows, Mixture-of-Experts (MoE) systems, and scalable ML inference APIs using Python, FastAPI, Docker, and cloud platforms (AWS/GCP).My work spans emotion recognition, spam/abuse detection, credit scoring, and sports intelligence platforms—covering the full ML lifecycle from data preprocessing and feature engineering to model deployment, monitoring, and optimization. I have hands-on experience with PyTorch, TensorFlow, Scikit-learn, HuggingFace, and LangChain, and I enjoy translating complex ML research into reliable, real-world systems.Currently, I’m focused on building intelligent multi-agent AI systems that enable autonomous reasoning, collaboration, and decision-making at scale. I thrive in collaborative environments and am passionate about creating AI solutions that are robust, explainable, and production-ready.

Experience

1. Generative Ai Developer

   Peak Play Ai Sports

   Dec 2025 — Present · Nashua, NH, US

   Architected enterprise-scale Generative AI platform using RAG frameworks, LangChain, and LangGraph, enabling constraint-aware personalized plan generation with 82% improvement in recommendation relevance.•Designed and implemented scalable FastAPI-based inference services integrated with OpenAI APIs, supporting low-latency concurrent requests and seamless AI model integration in production.•Built end-to-end data ingestion, preprocessing, and vector retrieval pipelines for large-scale knowledge bases using embedding models and vector databases.•Containerized and deployed AI services on AWS using Docker, reducing inference latency by 30% and ensuring consistent, repeatable cloud deployments.•Implemented automated test suites for RAG pipelines and agent workflows, reducing regression issues by 40% across model releases.

Education

• Rivier University

  Master's degree, Computer Science