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Hi there! I’m Vamshikrishna Bandi, a senior AI/ML engineer with 5+ years of experience designing and implementing Generative AI and agentic AI systems. I specialize in LLM orchestration, multi-agent architectures, MLOps, and cloud deployments to deliver scalable, secure AI solutions in production. I enjoy translating business workflows into autonomous AI capabilities, grounding responses with RAG and tool-calling, and continuously improving model reliability through observability, experimentation, and responsible AI practices.…Hi there! I’m Vamshikrishna Bandi, a senior AI/ML engineer with 5+ years of experience designing and implementing Generative AI and agentic AI systems. I specialize in LLM orchestration, multi-agent architectures, MLOps, and cloud deployments to deliver scalable, secure AI solutions in production. I enjoy translating business workflows into autonomous AI capabilities, grounding responses with RAG and tool-calling, and continuously improving model reliability through observability, experimentation, and responsible AI practices.

Vamshikrishna Bandi

AI Engineer, Data Scientist, Full Stack Developer, +7

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Hi there! I’m Vamshikrishna Bandi, a senior AI/ML engineer with 5+ years of experience designing and implementing Generative AI and agentic AI systems. I specialize in LLM orchestration, multi-agent architectures, MLOps, and cloud deployments to deliver scalable, secure AI solutions in production. I enjoy translating business workflows into autonomous AI capabilities, grounding responses with RAG and tool-calling, and continuously improving model reliability through observability, experimentation, and responsible AI practices.…Hi there! I’m Vamshikrishna Bandi, a senior AI/ML engineer with 5+ years of experience designing and implementing Generative AI and agentic AI systems. I specialize in LLM orchestration, multi-agent architectures, MLOps, and cloud deployments to deliver scalable, secure AI solutions in production. I enjoy translating business workflows into autonomous AI capabilities, grounding responses with RAG and tool-calling, and continuously improving model reliability through observability, experimentation, and responsible AI practices.

Available to hire

Hi there! I’m Vamshikrishna Bandi, a senior AI/ML engineer with 5+ years of experience designing and implementing Generative AI and agentic AI systems. I specialize in LLM orchestration, multi-agent architectures, MLOps, and cloud deployments to deliver scalable, secure AI solutions in production.

I enjoy translating business workflows into autonomous AI capabilities, grounding responses with RAG and tool-calling, and continuously improving model reliability through observability, experimentation, and responsible AI practices.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Agentic AI Engineer at PayPal

June 1, 2025 - Present

Designed and implemented agentic AI systems leveraging LLMs (GPT-4, Claude, LLaMA) with planning, reasoning, memory, and tool-calling capabilities. Built multi-agent architectures using LangChain, LlamaIndex, AutoGen, and CrewAI to enable autonomous task decomposition and collaboration. Developed Retrieval-Augmented Generation pipelines with Pinecone, FAISS, Weaviate, and Chroma for grounded, context-aware responses. Implemented memory mechanisms (embeddings, vector stores, structured state management) and integrated external tools and APIs to automate complex workflows. Applied prompt engineering, chaining, and function calling to improve reliability. Built autonomous decision-making using reasoning strategies (ReAct, CoT, Tree-of-Thoughts). Deployed GenAI services with FastAPI, Docker, Kubernetes; implemented guardrails, safety filters, and latency optimizations. Monitored agent behavior with custom metrics and observability. Collaborated with product and engineering to translate bus

Gen AI ML Engineer at Walmart

July 1, 2023 - December 1, 2024

Designed, trained, and deployed ML/DL models for NLP, computer vision, and predictive analytics. Built Generative AI solutions leveraging LLMs (GPT-4, Claude, LLaMA, Mistral) with prompt engineering, fine-tuning (LoRA/PEFT), embeddings, and RAG pipelines. Implemented agentic AI systems enabling tool calling, planning, memory, and multi-agent collaboration via LangChain, LlamaIndex, AutoGen, and CrewAI. Established end-to-end ML pipelines (data ingestion, feature engineering, model training, evaluation, inference) with Airflow, MLflow, and DVC. Deployed production-grade AI services via FastAPI/Flask REST APIs, containerized with Docker and orchestrated with Kubernetes. Executed MLOps including CI/CD, model versioning, monitoring, drift detection, logging, and automated retraining. Integrated cloud AI across Azure OpenAI; processed large-scale data with SQL, Spark, Databricks, Snowflake, BigQuery. Optimized LLM performance (prompt tuning, batching, caching). Emphasized Responsible AI: bi

ML Engineer at Capgemini

July 1, 2020 - March 1, 2023

Built and deployed ML models using Scikit-learn, XGBoost, and TensorFlow for classification, regression, and forecasting. Developed end-to-end ML pipelines for training, validation, and inference with MLflow and Airflow. Deployed models as REST APIs using Flask/FastAPI; containerized with Docker. Worked with PostgreSQL, MySQL, and MongoDB; performed data preprocessing and feature engineering; conducted hyperparameter tuning and cross-validation. Collaborated with data engineers to process large datasets using Spark and PySpark; deployed workloads on AWS SageMaker and EC2. Created dashboards and reports; followed Agile/Scrum practices with Jira and Git; implemented basic monitoring and versioning.