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I am a GenAI/ML Engineer with more than five years of experience building production-grade machine learning, generative AI, and agentic AI systems. I specialize in LLM-powered autonomous agents, multi-agent orchestration, retrieval-augmented generation, prompt engineering, tool calling, model fine-tuning, and responsible AI. I enjoy turning complex business needs into scalable, reliable solutions using Python, cloud platforms, MLOps, and modern AI frameworks.…I am a GenAI/ML Engineer with more than five years of experience building production-grade machine learning, generative AI, and agentic AI systems. I specialize in LLM-powered autonomous agents, multi-agent orchestration, retrieval-augmented generation, prompt engineering, tool calling, model fine-tuning, and responsible AI. I enjoy turning complex business needs into scalable, reliable solutions using Python, cloud platforms, MLOps, and modern AI frameworks.

Venkata Surendra Kommineni

AI Engineer, AI Developer, AI Prompt Engineer, +2

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I am a GenAI/ML Engineer with more than five years of experience building production-grade machine learning, generative AI, and agentic AI systems. I specialize in LLM-powered autonomous agents, multi-agent orchestration, retrieval-augmented generation, prompt engineering, tool calling, model fine-tuning, and responsible AI. I enjoy turning complex business needs into scalable, reliable solutions using Python, cloud platforms, MLOps, and modern AI frameworks.…I am a GenAI/ML Engineer with more than five years of experience building production-grade machine learning, generative AI, and agentic AI systems. I specialize in LLM-powered autonomous agents, multi-agent orchestration, retrieval-augmented generation, prompt engineering, tool calling, model fine-tuning, and responsible AI. I enjoy turning complex business needs into scalable, reliable solutions using Python, cloud platforms, MLOps, and modern AI frameworks.

Available to hire

I am a GenAI/ML Engineer with more than five years of experience building production-grade machine learning, generative AI, and agentic AI systems. I specialize in LLM-powered autonomous agents, multi-agent orchestration, retrieval-augmented generation, prompt engineering, tool calling, model fine-tuning, and responsible AI. I enjoy turning complex business needs into scalable, reliable solutions using Python, cloud platforms, MLOps, and modern AI frameworks.

Skills

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Work Experience

Sr AI/ML Engineer at Bank of America

January 1, 2025 - Present

Designed and implemented agentic AI systems using large language models, autonomous planning, tool calling, memory, and multi-agent workflows. Built RAG pipelines with vector databases for enterprise knowledge bases, integrated commercial and open-source LLMs, and fine-tuned models using LoRA and PEFT. Implemented MLflow-based MLOps and LLMOps pipelines, deployed GenAI services with Docker and Kubernetes, exposed capabilities through FastAPI and Flask, and created monitoring frameworks for drift, hallucinations, and performance degradation. Automated workflows with Airflow and applied guardrails, access controls, and privacy practices.

Gen AI Developer at Walgreens

February 1, 2024 - December 1, 2024

Designed and deployed LLM-powered applications for chatbots, document intelligence, automation, semantic search, and knowledge assistants using GPT-4, Claude, and LLaMA. Built RAG and multi-agent workflows with LangChain, LlamaIndex, and FAISS, integrating function calling with databases, APIs, and external services. Fine-tuned transformer models with LoRA and PEFT, optimized inference through caching, batching, and quantization, and deployed scalable microservices on AWS using Docker and CI/CD. Implemented evaluation metrics, automated testing, guardrails, content filters, logging, tracing, and feedback loops.

AI/ML Engineer at Tri Counties

November 1, 2022 - December 1, 2023

Designed, trained, and deployed machine learning and deep learning models for NLP, computer vision, time-series, chatbots, document question answering, and summarization. Built end-to-end data and RAG pipelines using Python, SQL, LangChain, LlamaIndex, and vector databases. Developed REST APIs with FastAPI and Flask, implemented CI/CD, MLflow, and DVC practices, and deployed solutions across AWS, GCP, and Azure with Docker and Kubernetes. Monitored models for drift and reliability, optimized performance through tuning, pruning, and quantization, and applied explainability and fairness techniques using SHAP and LIME.

ML Engineer at Accenture

June 1, 2020 - May 1, 2022

Designed, trained, and deployed machine learning models for classification, regression, and recommendation systems using scikit-learn, XGBoost, LightGBM, TensorFlow, and PyTorch. Performed feature engineering and model optimization, developed REST APIs with FastAPI and Flask, and automated training and deployment through CI/CD and MLOps practices. Implemented model versioning, experiment tracking, production monitoring, data and concept drift detection, and model optimization through hyperparameter tuning, pruning, and quantization. Worked with SQL, Pandas, NumPy, cloud platforms, Docker, and Kubernetes while applying explainability and fairness techniques.