AI Engineer with less than a year in Agentic Workflows with 0.5 Years in LLM applications & cloud-na
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AI Engineer specializing in Agentic Workflows and Autonomous Systems, passionate about architecting production-grade LLM applications. I design multi-agent orchestration, deploy scalable AI solutions via Docker and GCP, and build stateful pipelines optimizing RAG performance with vector databases, ensuring robust, cloud-native AI infrastructure.
KCC Institute of Technology and Management
B.Tech CSE · Computer Science Engineering
August 1, 2022 – June 30, 2026
MaiHealth
AI Intern
February 1, 2026 – Present
India
ExamDuo.ai
Generative AI Intern
November 1, 2025 – January 1, 2026
India
SeekAI
AI Intern
July 1, 2025 – September 1, 2025
India
AI SQL Agent
June 25, 2026 – Present
• Built an intelligent SQL agent translating natural language into SQL using RAG. • Implemented schema-aware query generation for high accuracy. • Enabled real-time query execution with database feedback.
View ProjectDoctor Appointment Multi-Agent System
June 25, 2026 – Present
• Built a multi-agent system to automate doctor appointment scheduling. • Integrated Streamlit UI with structured agent workflows for booking and conflict resolution.
View ProjectCultural Fit Analysis
The candidate's projects and internships demonstrate a strong interest and hands-on experience in cutting-edge AI technologies, particularly in Generative AI and agentic systems. This aligns well with an innovative, fast-paced AI engineering culture. The diversity of projects (SQL agent, doctor appointment system, medical pipelines, MCQ generator) indicates a broad curiosity and willingness to tackle different problem domains. However, the candidate is still pursuing a bachelor's degree, which might imply a need for mentorship and structured guidance in a professional setting, potentially impacting immediate cultural integration into a senior role.
Soft Skills & Operational Fit
The candidate's project descriptions and experience highlight a proactive approach to problem-solving and a strong inclination towards building practical, deployable AI solutions. The focus on 'Agentic Workflows and Autonomous Systems' aligns well with advanced AI engineering roles. The candidate's ability to work with diverse tools and integrate various AI models suggests good operational adaptability. However, without direct interview data, assessing collaboration, stress handling, and communication clarity in a team setting is limited.