Aj Nethikunta
Ai Ml Engineer @Lowe's Companies, Inc.
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WORK HISTORY
Ai Ml Engineer @Lowe's Companies, Inc.
Mooresville, NC, US
I led the design and development of an enterprise-grade Generative AI platform powering Lowe’s internal Retail Assistant, supporting store associates and customer service teams with real-time product intelligence, troubleshooting guidance, inventory insights, and operational decision support at scale. The platform was built using Retrieval-Augmented Generation (RAG), stateful LLM orchestration, and a production-ready LLMOps pipeline, enabling grounded, reliable, and low-latency AI responses across thousands of retail locations.
EDUCATION
St. Martin's Engineering College
2 Year
ABOUT AJ NETHIKUNTA
Senior AI/ML Engineer with 8+ years of experience designing and delivering production-grade Machine Learning and Generative AI solutions across retail, healthcare, and financial services. I specialize in building scalable, governed, and enterprise-ready AI systems that translate complex business problems into reliable, high-impact solutions.My core expertise lies in LLM-powered applications, including Retrieval-Augmented Generation (RAG), multi-agent architectures, and fine-tuning large language models for domain-specific use cases. I have hands-on experience with GPT-4, LLaMA, Mistral, and transformer-based models, along with LLM orchestration frameworks such as LangGraph, LangChain, to build stateful, auditable, and safe AI workflows.I’ve led and contributed to large-scale AI platforms in regulated environments, focusing on model reliability, explainability, compliance, and cost optimization. My work spans the full lifecycle — from data engineering and feature pipelines to model training, deployment, monitoring, and continuous improvement using modern MLOps/LLMOps practices.Technically, I’m strong in Python, PySpark, SQL, deep learning frameworks (PyTorch, TensorFlow), vector databases (Pinecone, FAISS, ChromaDB, Qdrant), and cloud-native architectures on Azure and AWS. I’ve built low-latency inference services using FastAPI, Docker, Kubernetes, and implemented robust CI/CD, observability, and governance frameworks.Beyond technology, I’m known for collaborating closely with product, platform, data, and compliance teams, ensuring AI solutions are not just innovative—but trusted, scalable, and aligned with real business needs.
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