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AI Engineer with less than a year in RAG, LangChain, and FastAPI
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Assessing your cultural and operational fit
As an AI/ML Developer Intern, I engineered production-ready RAG chatbots and deployed scalable REST APIs for real-time AI query processing. My projects include developing an AI medical voice assistant, architecting a multimodal LLMOps video compliance system, and building a context-aware Q&A chatbot with PDF integration. I am proficient in Python, LangChain, FastAPI, and Azure AI services, focusing on conversational AI and backend engineering.
JSS Academy of Technical Education
B.Tech · Information Technology
August 1, 2023 – June 30, 2027
Venus Graph
AI/ML Developer Intern
November 1, 2025 – January 1, 2026
Delhi, Delhi, India
AI Medical Voice Agent
June 9, 2026 – Present
Developed a real-time AI medical voice assistant analyzing patient symptoms via natural language voice interaction and speech-to-text using the AssemblyAI API. Built a full-stack app with Next.js, React, and TypeScript; integrated Clerk authentication and persistent session storage using PostgreSQL. Designed an accessible, responsive UI enabling seamless interaction between users and the AI-powered virtual healthcare assistant.
Multimodal LLMOps Video Compliance System
June 9, 2026 – Present
Architected an end-to-end automated video compliance pipeline using LangGraph orchestration and RAG, processing transcripts via Azure Video Indexer. Implemented semantic rule retrieval with Azure AI Search and OpenAI embeddings; GPT-4o reasoning engine detects policy violations and generates compliance reports. Established full observability and telemetry using LangSmith tracing and Azure Application Insights for monitoring and workflow debugging.
View ProjectContext-Aware Q&A; Chatbot with PDF Integration
June 9, 2026 – Present
Built a document-grounded conversational AI chatbot using LangChain and RAG pipeline, with semantic chunking and vector embeddings for high-precision retrieval. Engineered multi-turn conversational memory to preserve context across extended interactions via a scalable FastAPI backend.
Artificial Intelligence Primer
Infosys
June 1, 2026 – Present
Introduction to Back-End Development
Coursera
June 1, 2026 – Present
Hacksagon 2025
ABV-IIITM Gwalior
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a strong interest and initiative in AI/ML, aligning well with an AI Engineer role. The diversity of projects (voice agent, video compliance, Q&A chatbot) shows adaptability and a willingness to explore different applications of AI. However, the experience is primarily academic and personal projects, with limited professional team experience, which might impact cultural integration in a fast-paced corporate environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex, multi-component systems, suggesting good problem-solving and integration skills. The focus on end-to-end solutions implies an understanding of operational aspects, though direct evidence of collaboration or stress handling is not available from the provided data.