Nikhil Gaur Singh

About Nikhil Gaur Singh

Technical AI/ML Lead with 9+ years of experience designing and deploying large-scale AI solutions across OEM, industrial automation, and enterprise platforms. I specialize in building agent-based ML systems, multi-agent LLM architectures, and low-code/no-code ML pipelines for real-time intelligence at scale.LLM + Agentic AI Work:Deeply involved in LangGraph, LangSmith, and Agentic AI system design, powering semantic search, telemetry analytics, and task orchestration using RAG pipelines, GPT models, and vector stores like FAISS & Pinecone.ML Platform Engineering:Experienced in TensorFlow, PyTorch, MLflow, DVC, with pipelines supporting both AutoML and CustomML. Extensive use of Hyperopt, Optuna, and Bayesian Optimization for tuning DL/CV models across environments (AWS, Azure, Kubernetes).Vision + OEM AI:Delivered vision pipelines using YOLOv5, MobileNet, and ResNet models for industrial anomaly detection, component recognition, and edge deployment (e.g, SKODA, Renesas), including AWS SageMaker and embedded optimization.My passion lies in building intelligent systems that are scalable, explainable, and production-ready — from edge devices to cloud-native AI agents. Always excited to collaborate on LLMs, agent frameworks, RAG search systems, or real-time ML deployment challenges.Industry Impact: I\'ve led platform development for enterprise-grade projects for Fortune 500 clients like Volkswagen, Renesas, Nvidia,Corning, and Eaton, Access Data.integrating Large Language Models (LLMs), predictive maintenance systems, RAG-based pipelines, and real-time monitoring platforms.Let’s connect and solve the next generation of AI challenges together.

Experience

1. Technical Lead

   Amantya Technologies

   May 2025 — Present · Gurugram, IN

Education

• Jaypee Institute of Information Technology, Noida

  Master's degree, Electronics and Communications Engineering - Communication System Engineering

  2015 — 2017