Akhil Buddiga

About Akhil Buddiga

GenAI Engineer with extensive experience designing and deploying production grade AI and Large Language Model (LLM) solutions across AWS, Azure, and GCP. I specialize in building scalable Generative AI systems, including Retrieval Augmented Generation (RAG), multi agent architectures, and fine tuned transformer models for enterprise use cases.I have led end to end AI initiatives from data engineering and model training to API deployment, monitoring, and MLOps using tools such as AWS Bedrock, Azure OpenAI, Vertex AI, Databricks, MLflow, and Kubernetes. My work includes conversational AI platforms, fraud detection systems, document intelligence, and real time NLP pipelines.I am particularly strong in LLM fine tuning (LoRA / QLoRA), prompt engineering, vector databases, and agent based workflows using LangChain, LangGraph, AutoGen, and CrewAI. I focus on building reliable, secure, and explainable AI systems that deliver measurable business impact.Currently open to opportunities where I can build and scale GenAI solutions in fast moving, product driven teams.

Experience

1. Genai Engineer

   Synechron

   Jan 2023 — Present · Nashville, TN, US

   Led enterprise-scale Generative AI initiatives using AWS Bedrock, Azure OpenAI, Vertex AI, and Gemini Pro.• Designed and deployed Retrieval-Augmented Generation (RAG) systems to improve accuracy and contextual relevance for LLM applications.• Built agent-based GenAI architectures using LangGraph, AutoGen, and CrewAI for fraud detection and document intelligence.• Fine-tuned LLMs using LoRA and QLoRA, improving domain performance while reducing compute costs.• Developed scalable AI pipelines using Databricks and MLflow, reducing data processing time by 30%.• Migrated legacy APIs to FastAPI, enabling high-throughput, low-latency GenAI services.• Implemented MLOps and CI/CD pipelines using Docker, Kubernetes, Terraform, Jenkins, and GitHub Actions.• Integrated multi-modal AI (text, image, speech) into conversational platforms.• Built monitoring, logging, and drift detection for LLMs using MLflow, Prometheus, and Grafana.

Education

• Lovely Professional University

  Bachelor of Technology - BTech, Computer Science