Headline

AI Engineer & Final Year B.Tech Student | Transforming Data into Intelligence with RAG Systems | Expert in LangChain, MCP & Multi-Agent AI

About

Final year engineering student with 2+ years of hands-on experience building generative AI solution prototypes. I specialize in developing sophisticated RAG (Retrieval-Augmented Generation) applications for both internal operations and external client needs, leveraging cutting-edge technologies to bridge the gap between complex data and actionable insights.My technical expertise spans the full AI development stack: from orchestrating multi-agent workflows with CrewAI and LangChain to implementing the Model Context Protocol (MCP) for enhanced AI interactions. I work seamlessly across leading AI platforms including OpenAI, Groq, and Hugging Face APIs, while architecting robust data solutions using graph databases like Neo4j and vector databases such as Astra DB.What sets me apart is my ability to translate theoretical AI concepts into practical business solutions. Whether it's designing intelligent knowledge retrieval systems or building conversational AI interfaces, I focus on creating tools that genuinely enhance productivity and decision-making. My experience bridges both the technical complexity of modern AI systems and the real-world challenges of deploying them at scale.Currently seeking opportunities to contribute to innovative AI teams where I can apply my expertise in building next-generation intelligent applications that push the boundaries of what's possible with generative AI.

Location

Bhopal

Work experience

Artificial Intelligence Intern at WorkElate, Feb 2026 - Mar 2026 · 2 mos, Remote

Google cloud generative AI Intern at SmartBridge Indonesia, Nov 2025 - Jan 2026 · 3 mos, Hyderabad, Telangana, India, Completed a specialized virtual internship focused on building Generative AI applications using the Google Cloud ecosystem. Gained practical experience in leveraging Large Language Models (LLMs) to solve business problems. Key Responsibilities & Learnings: Google Cloud Vertex AI: Gained hands-on proficiency with Vertex AI Model Garden and Generative AI Studio to access and tune foundation models. Prompt Engineering: Applied advanced prompt engineering techniques to optimize model outputs for summarization, chat, and content generation tasks. Skills Acquired: Generative AI, Google Cloud Platform (GCP), Vertex AI, Large Language Models (LLM), Python, Prompt Engineering.

Education

Bachelor's degree, Computer Science, VIT Bhopal University

AISSCE - Science Stream, Sagar Public School Saket Nagar

Public links

github: https://github.com/senpaisaul