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Hands-on experience architecting and deploying intelligent AI Agents that combine reasoning, memory, and real-time tool use to deliver measurable business outcomes. 🔹 AI Agent Development – Engineered context-aware agents with multi-step reasoning, embeddings, and Retrieval-Augmented Generation (RAG) for reliable automation. 🔹 LLM Ecosystem – Practical expertise with proprietary models (OpenAI GPT, Claude, Gemini) and open-source frameworks (Llama 3, Mistral, Hugging Face, Cohere). 🔹 Frameworks & Orchestration – Built production-grade AI workflows using LangChain, OpenRouter, and custom API integrations. 🔹 DevOps & Deployment – Strong foundation in Docker, Kubernetes, Jenkins, GitHub Actions, and AWS, ensuring scalable, secure, and cost-optimized AI deployments. 🔹 Product Engineering Mindset – Delivered AI-powered applications from prototype → production, focusing on scalability, maintainability, and user impact. ✨ Highlights: ✅ Developed AI-driven web apps with intelligent automation features. ✅ Built & deployed production-ready AI Agents with real-world integrations. ✅ Applied DevOps pipelines to accelerate delivery and improve reliability. 📌 Actively seeking opportunities to contribute to product teams by bridging AI innovation + solid engineering practices. 🔗 Portfolio & Projects: github.com/vikramadityadevarampati…Hands-on experience architecting and deploying intelligent AI Agents that combine reasoning, memory, and real-time tool use to deliver measurable business outcomes. 🔹 AI Agent Development – Engineered context-aware agents with multi-step reasoning, embeddings, and Retrieval-Augmented Generation (RAG) for reliable automation. 🔹 LLM Ecosystem – Practical expertise with proprietary models (OpenAI GPT, Claude, Gemini) and open-source frameworks (Llama 3, Mistral, Hugging Face, Cohere). 🔹 Frameworks & Orchestration – Built production-grade AI workflows using LangChain, OpenRouter, and custom API integrations. 🔹 DevOps & Deployment – Strong foundation in Docker, Kubernetes, Jenkins, GitHub Actions, and AWS, ensuring scalable, secure, and cost-optimized AI deployments. 🔹 Product Engineering Mindset – Delivered AI-powered applications from prototype → production, focusing on scalability, maintainability, and user impact. ✨ Highlights: ✅ Developed AI-driven web apps with intelligent automation features. ✅ Built & deployed production-ready AI Agents with real-world integrations. ✅ Applied DevOps pipelines to accelerate delivery and improve reliability. 📌 Actively seeking opportunities to contribute to product teams by bridging AI innovation + solid engineering practices. 🔗 Portfolio & Projects: github.com/vikramadityadevarampati

Vikram Aditya Devarampati

DevOps Developer, Cloud Developer, Programmer, +3

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Hands-on experience architecting and deploying intelligent AI Agents that combine reasoning, memory, and real-time tool use to deliver measurable business outcomes. 🔹 AI Agent Development – Engineered context-aware agents with multi-step reasoning, embeddings, and Retrieval-Augmented Generation (RAG) for reliable automation. 🔹 LLM Ecosystem – Practical expertise with proprietary models (OpenAI GPT, Claude, Gemini) and open-source frameworks (Llama 3, Mistral, Hugging Face, Cohere). 🔹 Frameworks & Orchestration – Built production-grade AI workflows using LangChain, OpenRouter, and custom API integrations. 🔹 DevOps & Deployment – Strong foundation in Docker, Kubernetes, Jenkins, GitHub Actions, and AWS, ensuring scalable, secure, and cost-optimized AI deployments. 🔹 Product Engineering Mindset – Delivered AI-powered applications from prototype → production, focusing on scalability, maintainability, and user impact. ✨ Highlights: ✅ Developed AI-driven web apps with intelligent automation features. ✅ Built & deployed production-ready AI Agents with real-world integrations. ✅ Applied DevOps pipelines to accelerate delivery and improve reliability. 📌 Actively seeking opportunities to contribute to product teams by bridging AI innovation + solid engineering practices. 🔗 Portfolio & Projects: github.com/vikramadityadevarampati…Hands-on experience architecting and deploying intelligent AI Agents that combine reasoning, memory, and real-time tool use to deliver measurable business outcomes. 🔹 AI Agent Development – Engineered context-aware agents with multi-step reasoning, embeddings, and Retrieval-Augmented Generation (RAG) for reliable automation. 🔹 LLM Ecosystem – Practical expertise with proprietary models (OpenAI GPT, Claude, Gemini) and open-source frameworks (Llama 3, Mistral, Hugging Face, Cohere). 🔹 Frameworks & Orchestration – Built production-grade AI workflows using LangChain, OpenRouter, and custom API integrations. 🔹 DevOps & Deployment – Strong foundation in Docker, Kubernetes, Jenkins, GitHub Actions, and AWS, ensuring scalable, secure, and cost-optimized AI deployments. 🔹 Product Engineering Mindset – Delivered AI-powered applications from prototype → production, focusing on scalability, maintainability, and user impact. ✨ Highlights: ✅ Developed AI-driven web apps with intelligent automation features. ✅ Built & deployed production-ready AI Agents with real-world integrations. ✅ Applied DevOps pipelines to accelerate delivery and improve reliability. 📌 Actively seeking opportunities to contribute to product teams by bridging AI innovation + solid engineering practices. 🔗 Portfolio & Projects: github.com/vikramadityadevarampati

Available to hire

Hands-on experience architecting and deploying intelligent AI Agents that combine reasoning, memory, and real-time tool use to deliver measurable business outcomes.

🔹 AI Agent Development – Engineered context-aware agents with multi-step reasoning, embeddings, and Retrieval-Augmented Generation (RAG) for reliable automation.
🔹 LLM Ecosystem – Practical expertise with proprietary models (OpenAI GPT, Claude, Gemini) and open-source frameworks (Llama 3, Mistral, Hugging Face, Cohere).
🔹 Frameworks & Orchestration – Built production-grade AI workflows using LangChain, OpenRouter, and custom API integrations.
🔹 DevOps & Deployment – Strong foundation in Docker, Kubernetes, Jenkins, GitHub Actions, and AWS, ensuring scalable, secure, and cost-optimized AI deployments.
🔹 Product Engineering Mindset – Delivered AI-powered applications from prototype → production, focusing on scalability, maintainability, and user impact.

✨ Highlights:
✅ Developed AI-driven web apps with intelligent automation features.
✅ Built & deployed production-ready AI Agents with real-world integrations.
✅ Applied DevOps pipelines to accelerate delivery and improve reliability.

📌 Actively seeking opportunities to contribute to product teams by bridging AI innovation + solid engineering practices.

🔗 Portfolio & Projects: github.com/vikramadityadevarampati

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Language

Work Experience

Software Developer Intern at MAKE SKILL

April 30, 2023 - August 31, 2025

Executed all assigned Software Development Life Cycle activities while mastering Agile methodologies for project management. Achieved proficiency in Spring Boot, adhering to best practices in dependency injection, component lifecycle, and state management. Analyzed and comprehended technical design documents ensuring accurate interpretation of architectural and senior developer instructions. Implemented software solutions based on technical specifications aligned with project goals.

Web Developer Intern at YHILLS

July 31, 2023 - August 31, 2025

Led collaborative efforts with cross-functional teams, increasing productivity by 30% in building high-quality, responsive user interfaces. Implemented stringent code review processes reducing software bugs by 25% and ensuring adherence to software engineering best practices. Managed communication with product owners to accurately grasp detailed requirements and took responsibility for the entire development lifecycle. Executed design principles facilitating customization and scalability improvements.

DevOps Engineer Intern at COSMIC365.AI

August 31, 2024 - August 31, 2025

Assisted in infrastructure setup and maintenance, supported deployment processes, and contributed to monitoring and incident management activities. Managed CI/CD pipelines, automated tasks using scripting languages, documented procedures, collaborated with teams on projects, and actively learned and applied technical skills in a hands-on setting.

DevOps Engineer Intern at INTERPE

November 30, 2024 - August 31, 2025

Automated CI/CD pipelines, reducing deployment times by 30% and streamlining delivery processes. Developed API integration strategies cutting data transfer latency by 15% and ensured security compliance. Enhanced sprint planning efficiency by 20% through Agile methodologies. Applied AWS best practices, maintaining 99% uptime and ensuring dynamic scalability for workloads.

Software Developer Internship at MAKE SKILL

April 30, 2023 - August 31, 2025

Executed full software development life cycle activities, mastering Agile methodologies. Gained proficiency in Spring Boot focusing on dependency injection, component lifecycle, and state management. Analyzed technical design documents and implemented software solutions aligning with project goals.

Web Developer Internship at YHILLS

July 31, 2023 - August 31, 2025

Led cross-functional teams, increasing productivity by 30% in building responsive user interfaces. Implemented strict code reviews that reduced bugs by 25%. Collaborated with product owners to understand requirements and managed the full development lifecycle. Improved product scalability and customization.

DevOps Engineer Internship at COSMIC365.AI

August 31, 2024 - August 31, 2025

Assisted in infrastructure setup and maintenance, supported deployment processes, and contributed to monitoring and incident management. Managed CI/CD pipelines, automated tasks via scripting, documented procedures, and collaborated on team projects.

DevOps Engineer Intern at INTERPE

November 30, 2024 - August 31, 2025

Automated CI/CD pipelines, reducing deployment times by 30% and streamlining delivery. Developed API integration strategies reducing data transfer latency by 15% while ensuring security compliance. Enhanced sprint planning efficiency by 20% using Agile. Applied AWS best practices maintaining 99% uptime and dynamic scalability.