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Hello! I am SREE VAMSI PYDIKONDALA, an AI/ML engineer focused on production LLM systems, RAG pipelines, and agentic AI. I enjoy turning research into scalable services using Python, FastAPI, LangChain, LangGraph, and vector stores like FAISS and Pinecone. I’m proficient in cloud deployment (Azure, AWS), containers (Docker) and orchestration (Kubernetes), with CI/CD pipelines in GitHub Actions. Currently I’m building end-to-end AI solutions that reduce latency, automate workflows, and enable data-driven decision-making. I thrive collaborating across teams to deliver robust, maintainable systems and create delightful user experiences with AI.…Hello! I am SREE VAMSI PYDIKONDALA, an AI/ML engineer focused on production LLM systems, RAG pipelines, and agentic AI. I enjoy turning research into scalable services using Python, FastAPI, LangChain, LangGraph, and vector stores like FAISS and Pinecone. I’m proficient in cloud deployment (Azure, AWS), containers (Docker) and orchestration (Kubernetes), with CI/CD pipelines in GitHub Actions. Currently I’m building end-to-end AI solutions that reduce latency, automate workflows, and enable data-driven decision-making. I thrive collaborating across teams to deliver robust, maintainable systems and create delightful user experiences with AI.

SREE VAMSI PYDIKONDALA

AI Engineer, Data Scientist, Full Stack Developer, +2

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Hello! I am SREE VAMSI PYDIKONDALA, an AI/ML engineer focused on production LLM systems, RAG pipelines, and agentic AI. I enjoy turning research into scalable services using Python, FastAPI, LangChain, LangGraph, and vector stores like FAISS and Pinecone. I’m proficient in cloud deployment (Azure, AWS), containers (Docker) and orchestration (Kubernetes), with CI/CD pipelines in GitHub Actions. Currently I’m building end-to-end AI solutions that reduce latency, automate workflows, and enable data-driven decision-making. I thrive collaborating across teams to deliver robust, maintainable systems and create delightful user experiences with AI.…Hello! I am SREE VAMSI PYDIKONDALA, an AI/ML engineer focused on production LLM systems, RAG pipelines, and agentic AI. I enjoy turning research into scalable services using Python, FastAPI, LangChain, LangGraph, and vector stores like FAISS and Pinecone. I’m proficient in cloud deployment (Azure, AWS), containers (Docker) and orchestration (Kubernetes), with CI/CD pipelines in GitHub Actions. Currently I’m building end-to-end AI solutions that reduce latency, automate workflows, and enable data-driven decision-making. I thrive collaborating across teams to deliver robust, maintainable systems and create delightful user experiences with AI.

Available to hire

Hello! I am SREE VAMSI PYDIKONDALA, an AI/ML engineer focused on production LLM systems, RAG pipelines, and agentic AI. I enjoy turning research into scalable services using Python, FastAPI, LangChain, LangGraph, and vector stores like FAISS and Pinecone. I’m proficient in cloud deployment (Azure, AWS), containers (Docker) and orchestration (Kubernetes), with CI/CD pipelines in GitHub Actions.

Currently I’m building end-to-end AI solutions that reduce latency, automate workflows, and enable data-driven decision-making. I thrive collaborating across teams to deliver robust, maintainable systems and create delightful user experiences with AI.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

Telugu

Fluent

English

Advanced

Hindi

Intermediate

Work Experience

AI/ML Engineer Intern at Upnyx Innovative Solutions

April 1, 2025 - Present

Built and deployed LangChain-based RAG microservices with FastAPI + Docker on AKS/EKS. Integrated FAISS/Pinecone vector stores and GitHub Actions CI/CD; reduced query latency by 25% and automated workflows saving 10+ hrs/week.

Data Analytics Intern at Accenture

June 1, 2024 - October 16, 2025

Improved TTCs by 30% through advanced data cleaning and modeling. Built dashboards in Power BI and automated reporting pipelines, enabling faster decision-making.