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AI Engineer with 1+ years in Generative AI, LLMs & Agentic AI.
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AI Engineer specializing in Generative AI, LLMs, RAG, and Agentic AI, with proven experience developing intelligent AI applications, multi-agent systems, and autonomous AI workflows. Proficient in leveraging Python, FastAPI, LangChain, LangGraph, vector databases, and modern AI infrastructure to build scalable, production-ready solutions for knowledge retrieval, context-aware reasoning, intelligent automation, and enterprise AI applications.
Manav Rachna International Institute of Research and Studies
B.Tech · Computer Science & Engineering (AI & Machine Learning)
August 1, 2021 – June 30, 2025
KODRYX AI
AI Engineer Intern
May 1, 2025 – Present
Hyderābād, Telangana, India
AI Interview Preparation Assistant
June 27, 2026 – Present
Engineered an AI-powered Interview Preparation Assistant using LLMs, RAG, LangGraph, ChromaDB, PostgreSQL, and FastAPI to automate resume analysis, personalized question generation, adaptive mock interviews, and real-time candidate assessment through intelligent feedback and performance analytics.
Enterprise AI Knowledge Assistant (RAG System)
June 27, 2026 – Present
Architected and deployed an Enterprise AI Knowledge Assistant leveraging RAG, LLMs, LangChain, ChromaDB, vector embeddings, and FastAPI to deliver intelligent knowledge retrieval, semantic search, and context-aware question answering, enabling seamless access to enterprise information through scalable AI-driven workflows.
Multi-Agent AI Research Assistant (Agentic AI)
June 27, 2026 – Present
Architected and developed a Multi-Agent AI Research Assistant using LLMs, LangChain, LangGraph, FastAPI, and OpenAI APIs to orchestrate autonomous research workflows, enabling intelligent information retrieval, multi-step reasoning, tool integration, agent collaboration, and automated generation of structured research reports.
AI Document Intelligence Platform
June 27, 2026 – Present
Engineered an end-to-end AI Document Intelligence Platform leveraging OCR, RAG, LLMs, LangGraph, ChromaDB, PostgreSQL, and FastAPI to convert unstructured documents into an intelligent knowledge system, enabling semantic retrieval, context-aware question answering, agentic workflows, and automated insight extraction at scale
Microsoft Certified: Azure Data Engineer Associate
Microsoft
June 1, 2026 – Present
Microsoft Certified : Azure AI Fundamentals (AI-900)
Microsoft
June 1, 2026 – Present
Azure Fundamentals (AZ-900)
Microsoft
June 1, 2026 – Present
Security, Compliance, and Identity Fundamentals (SC-900)
Microsoft
June 1, 2026 – Present
IEEE Research Publication: Published research on Machine Learning-based Loan Prediction
IEEE
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a strong alignment with an AI Engineer role, focusing on cutting-edge Generative AI, RAG, and Agentic AI. The diversity of projects (document intelligence, knowledge assistants, interview prep, research assistants) shows breadth in applying AI solutions to different domains. The certifications in Azure AI and Data Engineering further indicate a commitment to cloud-based AI development, which is a strong cultural fit for modern AI engineering teams. The IEEE publication also suggests a research-oriented and innovative mindset.
Soft Skills & Operational Fit
The candidate's project descriptions and experience highlight a proactive approach to developing complex AI solutions. The focus on end-to-end systems and agentic AI suggests strong problem-solving and architectural thinking. While direct evidence of collaboration or stress handling is not provided, the nature of the projects implies an ability to manage technical challenges. The candidate is currently an intern, which suggests a learning-oriented mindset.