Help & Supportcareers@gravityer.com
AI Engineer with less than a year in LangChain, RAG Pipelines & Azure AI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI/ML Intern with 5 months of hands-on experience in building LLM-powered applications, RAG pipelines, and integrating Azure AI services. Proficient in LangChain, LangGraph, Python, and SQL, with a strong focus on agentic system design and conversational AI. Eager to leverage skills in developing scalable and modular AI solutions.
A. D. Patel Institute of Technology
B.Tech · Information Technology
August 1, 2022 – June 30, 2026
Inkey IT Solutions
AI/ML Intern
January 1, 2026 – Present
Surat, Gujarat, India
VoiceHire - AI-Powered Autonomous Interview System
January 1, 2026 – June 1, 2026
Designed stateful LangGraph workflow (8 nodes, conditional edges) with SQLAlchemy ORM; implemented LLM-based resume screening with compatibility scoring and dynamic follow-up probing. Engineered structured LLM output evaluation with threshold logic and integrated Azure Blob Storage for persisting plans and reports via a modular FastAPI backend.
Enterprise RAG Chatbot - Stateful Conversational Agent with Persistent Memory
January 1, 2026 – June 1, 2026
Architected multi-turn RAG chatbot with LangGraph and PostgreSQL checkpointer; built dynamic ingestion pipeline for PDF/DOCX/TXT with semantic chunking into ChromaDB. Integrated Azure OpenAI (intent routing between retrieval and general queries) and engineered a Safe Mode Human-in-the-Loop system to pause graph execution for user review before LLM processing.
Python Programming
University of Michigan (Coursera)
June 1, 2026 – Present
Database (DBMS and SQL)
Meta (Coursera)
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects and internship demonstrate a strong alignment with an AI Engineer role, focusing on cutting-edge Generative AI and LLM technologies. The diversity of projects (autonomous interview system, RAG chatbot) and the use of various tools (LangGraph, LangChain, Azure AI Services, PostgreSQL, ChromaDB) suggest adaptability and a broad interest in the AI domain. The internship at Inkey IT Solutions further solidifies this fit, showing practical application of learned skills in an industry setting. The candidate's proactive pursuit of certifications also indicates a drive for continuous learning.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex, multi-component systems, suggesting good problem-solving and architectural thinking. The focus on 'scalable, modular agentic system design' and 'production-ready FastAPI services' implies an understanding of operational requirements. However, without direct assessment data, specific soft skills like teamwork, leadership, or communication in a collaborative setting cannot be definitively evaluated.