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I’m Prem Akhil Boda, an AI Software Engineer with over three years of experience designing and deploying enterprise AI applications, including LLM-powered copilots, agentic AI systems, and production ML platforms across AWS, Azure, and Google Cloud. I specialize in Retrieval-Augmented Generation, GraphRAG, semantic search, multi-agent orchestration, and AI workflow automation using LangChain, LangGraph, LlamaIndex, CrewAI, and MCP. I build scalable AI microservices, distributed inference platforms, and end-to-end MLOps/LLMOps pipelines with a focus on NLP, observability, and production-grade AI systems. My work blends backend engineering, model evaluation, and AI governance to deliver robust, scalable AI solutions for enterprise environments. I enjoy translating complex business requirements into practical, cloud-native AI platforms, collaborating with product, platform, and delivery teams to drive impactful outcomes.…I’m Prem Akhil Boda, an AI Software Engineer with over three years of experience designing and deploying enterprise AI applications, including LLM-powered copilots, agentic AI systems, and production ML platforms across AWS, Azure, and Google Cloud. I specialize in Retrieval-Augmented Generation, GraphRAG, semantic search, multi-agent orchestration, and AI workflow automation using LangChain, LangGraph, LlamaIndex, CrewAI, and MCP. I build scalable AI microservices, distributed inference platforms, and end-to-end MLOps/LLMOps pipelines with a focus on NLP, observability, and production-grade AI systems. My work blends backend engineering, model evaluation, and AI governance to deliver robust, scalable AI solutions for enterprise environments. I enjoy translating complex business requirements into practical, cloud-native AI platforms, collaborating with product, platform, and delivery teams to drive impactful outcomes.

Prem Akhil Boda

AI Developer, Full Stack Developer, Back-End Developer, +2

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I’m Prem Akhil Boda, an AI Software Engineer with over three years of experience designing and deploying enterprise AI applications, including LLM-powered copilots, agentic AI systems, and production ML platforms across AWS, Azure, and Google Cloud. I specialize in Retrieval-Augmented Generation, GraphRAG, semantic search, multi-agent orchestration, and AI workflow automation using LangChain, LangGraph, LlamaIndex, CrewAI, and MCP. I build scalable AI microservices, distributed inference platforms, and end-to-end MLOps/LLMOps pipelines with a focus on NLP, observability, and production-grade AI systems. My work blends backend engineering, model evaluation, and AI governance to deliver robust, scalable AI solutions for enterprise environments. I enjoy translating complex business requirements into practical, cloud-native AI platforms, collaborating with product, platform, and delivery teams to drive impactful outcomes.…I’m Prem Akhil Boda, an AI Software Engineer with over three years of experience designing and deploying enterprise AI applications, including LLM-powered copilots, agentic AI systems, and production ML platforms across AWS, Azure, and Google Cloud. I specialize in Retrieval-Augmented Generation, GraphRAG, semantic search, multi-agent orchestration, and AI workflow automation using LangChain, LangGraph, LlamaIndex, CrewAI, and MCP. I build scalable AI microservices, distributed inference platforms, and end-to-end MLOps/LLMOps pipelines with a focus on NLP, observability, and production-grade AI systems. My work blends backend engineering, model evaluation, and AI governance to deliver robust, scalable AI solutions for enterprise environments. I enjoy translating complex business requirements into practical, cloud-native AI platforms, collaborating with product, platform, and delivery teams to drive impactful outcomes.

Available to hire

I’m Prem Akhil Boda, an AI Software Engineer with over three years of experience designing and deploying enterprise AI applications, including LLM-powered copilots, agentic AI systems, and production ML platforms across AWS, Azure, and Google Cloud. I specialize in Retrieval-Augmented Generation, GraphRAG, semantic search, multi-agent orchestration, and AI workflow automation using LangChain, LangGraph, LlamaIndex, CrewAI, and MCP. I build scalable AI microservices, distributed inference platforms, and end-to-end MLOps/LLMOps pipelines with a focus on NLP, observability, and production-grade AI systems.

My work blends backend engineering, model evaluation, and AI governance to deliver robust, scalable AI solutions for enterprise environments. I enjoy translating complex business requirements into practical, cloud-native AI platforms, collaborating with product, platform, and delivery teams to drive impactful outcomes.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

AI-Software Engineer at DoorDash

May 1, 2025 - Present

Architected enterprise-grade AI agents and conversational copilots using Python, OpenAI API, Anthropic Claude API, Llama, and Mistral models; implementing prompt engineering, structured output generation, function calling, and tool calling frameworks to automate employee support, ITSM, and business workflow operations. Engineered high-throughput AI inference and model-serving platforms using TGI, vLLM, Kubernetes, AWS EC2, S3, and Azure cloud services. Orchestrated multi-agent execution frameworks leveraging LangGraph, CrewAI, AutoGen, and MCP, implementing ReAct reasoning patterns, memory architectures, and autonomous task execution for complex enterprise process automation. Constructed GraphRAG-based knowledge platforms with Pinecone, Weaviate, FAISS, OpenSearch, and hybrid retrieval strategies. Delivered AI-powered service desk and incident resolution capabilities integrating ServiceNow, Jira, Teams, Salesforce, and enterprise APIs, achieving 88%+ ticket routing accuracy and a 35% r

Machine Learning Engineer at Mphasis

September 1, 2022 - November 30, 2023

Refactored experimental Python-based ML prototypes into modular, production-ready applications using object-oriented programming, asyncio, Pydantic, and software engineering best practices. Automated end-to-end ML pipelines with Apache Airflow and GitHub Actions, reducing manual intervention by ~40%. Deployed real-time and batch inference solutions on AWS SageMaker, Azure ML, and Kubernetes (Docker/Terraform) with sub-100ms latency and 99.9% production availability for fraud detection, risk scoring, and predictive analytics. Established MLOps frameworks (MLflow, Weights & Biases, Jenkins) for experiment tracking, model versioning, automated testing, continuous training, and release management. Implemented NLP and intelligent document processing using Python, Hugging Face Transformers, BERT, SpaCy, OCR pipelines to automate classification and information extraction. Built enterprise knowledge retrieval and customer support automation using LangChain, LlamaIndex, vector databases (Pineco

Software Developer at KPIT Technologies

July 1, 2021 - August 31, 2022

Created and maintained automotive software modules using Python, C++, and JavaScript for connected vehicle and telematics platforms; contributed to ECU software integration, vehicle communication workflows (REST, CAN), and diagnostic support tools. Optimized PostgreSQL, MySQL, Redis, and NoSQL databases for telemetry ingestion and analytics, achieving improved response times. Instituted DevSecOps and quality engineering across pipelines, reducing regression defects by ~30%. Enhanced NLP and semantic search capabilities with FAISS-powered retrieval to improve fault classification and root-cause analysis, supporting diagnostics workflows. Supported validation activities in Agile/Scrum environments, leveraging modern developer productivity tools (GitHub Copilot, Cursor) to improve delivery efficiency and code quality.