Vikram Ramwani — DevOps Engineer

I am a Software Engineer (AI / GenAI) and Authorized Officer at UBS, building production-grade, end-to-end AI systems in a highly regulated enterprise environment. My work spans frontend, backend, AI/ML, and DevOps, allowing me to take ownership of solutions from design to deployment. I specialize in Agentic AI and LLM-based systems, focusing on building reliable, explainable, and scalable applications rather than isolated AI prototypes. I have hands-on experience in: Designing Agentic AI and LLM-driven systems using LangChain, LangGraph, and AGNO Building LLM Agents and RAG pipelines with Azure OpenAI (GPT-4o) for document review, compliance automation, and intelligent decision support Implementing hybrid AI architectures (rule-based logic → embeddings → LLMs) to reduce hallucinations, optimize token usage, and improve accuracy Developing backend services in Python to orchestrate AI workflows and integrate with enterprise systems Building frontend interfaces (React) to expose AI capabilities to users Engineering CI/CD and DevOps pipelines to deploy, monitor, and operate AI services. I work closely with architecture, security, and compliance teams to ensure solutions meet enterprise, governance, and regulatory standards, while delivering measurable business impact. Tech Stack: Python, React, Azure OpenAI (GPT-4o), Agentic AI, LangChain, LangGraph, AGNO, LLMs, RAG, Embeddings, FAISS/KNN, Machine Learning, NLP, Data Engineering, Backend Engineering, DevOps, GitLab CI/CD, Azure

Stackforce AI infers this person is a Software Engineer specializing in AI/ML solutions for enterprise environments.

Location: Pune, Maharashtra, India

Experience: 2 yrs 7 mos