Karthikeya Nagisetti

About Karthikeya Nagisetti

AI Engineer working at Meta,Senior AI Engineer, Founder/CEO of Healed Hearts, and Agentic AI Specialist with experince developing Large Language Models (LLMs), Autonomous Multi-Agent Systems, GPT architectures, and Multi-Modal AI deployed across production-scale infrastructure serving millions globally. Expert in AI Agent Orchestration (e.g, LangGraph), AI research translation, enterprise AI deployment, and building highly scalable, decision-making AI systems with critical real-world business impact.CORE AI/ML EXPERTISE-Agentic AI & Orchestration: Multi-Agent Systems (MAS), Autonomous Agent Design & Deployment, Agent Orchestration (LangGraph, LangChain), Decision Loop Architectures, Tool/API Integration, Retrieval-Augmented Generation (RAG)-Large Language Models: GPT-4 scale transformers (175B+ parameters), BERT, T5, distributed training, model fine-tuning-Deep Learning Frameworks: PyTorch (Expert), TensorFlow, JAX, Hugging Face Transformers, DeepSpeed, FairScale, Ray-AI Safety & Alignment: RLHF (Reinforcement Learning Human Feedback), Constitutional AI, red-teaming, AI safety frameworks-Multi-Modal AI: Vision-language models, computer vision, NLP, knowledge graphs, real-time inference (<200ms latency)-Cloud AI Platforms: AWS SageMaker, Google Cloud Vertex AI, Azure ML, distributed computing, Kubernetes, Docker.PROGRAMMING & TECHNICAL SKILLS-Languages: Python (Expert), SQL, C++, Rust, CUDA, JavaScript, Go-ML Operations: Agent Deployment & Orchestration, MLOps, production-scale model deployment, quantization, knowledge distillation, model optimization-Data Engineering: SQL, BigQuery, Snowflake, Apache Spark, data pipelines, ETL processes-Business Intelligence: Power BI, Tableau, data visualization, analytics dashboards.HEALTHCARE AI SPECIALIZATION*Built foundation models with 97.8% diagnostic accuracy deployed across 200+ hospitals.*Designed and deployed autonomous clinical decision-support agents (HIPAA-compliant), medical imaging analysis, clinical decision support.*FDA regulatory compliance, healthcare data privacy, federated learning in healthcare.ENTERPRISE AI & FINTECH*Developed autonomous fraud detection systems (85% false positive reduction), document intelligence, financial AI.*Enterprise AI integration, B2B AI solutions, regulatory compliance (SOX, PCI DSS).*Large-scale data processing, real-time AI inference, business intelligence automation.

Experience

1. Ai Engineer

   Meta

   Dec 2025 — Present · San Francisco, CA, US

   Leading development of Meta\'s internal AI-powered deployment assistant using LLaMA 3.1/3.2 with agentic workflows.• Architecting production RAG systems on database enabling context-aware deployment recommendations and reducing deployment failures by 40%.• Building agent skills framework with dynamic tool selection, multi-step reasoning, function calling, and autonomous decision-making capabilities.• Implementing agent orchestration using LangGraph for complex deployment workflows with error recovery and self-correction mechanisms.• Designing agent memory systems learning from deployment patterns and historical incidents for continuous improvement.• Leading research on agent reliability, hallucination.

Education

• Vardhaman College of Engineering (VCEH)

  Bachelor of Technology - BTech, Electrical and Electronics Engineering

• Lindsey Wilson University

  Master's degree, Computer/Information Technology Administration and Management