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Generative AI Engineer with 1+ years in LLM and RAG.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Generative AI Engineer with 1+ years of experience building LLM-powered applications, AI agents, chatbots, RAG pipelines and intelligent automation solutions. Proficient in Python, LangChain, LlamaIndex, Prompt Engineering, Vector Databases, FastAPI and REST APIs. Experienced in semantic search, embeddings, AI workflow orchestration and cloud fundamentals.
Parul University
Bachelor of Technology (B.Tech) · Automobile Engineering
N/A – Present
GlobalLogic
Generative AI Engineer & Data Analyst
December 1, 2024 – April 30, 2026
India
Enterprise GenAI Assistant
June 24, 2026 – Present
Built AI assistant using LangChain, OpenAI GPT, embeddings, semantic search, FAISS and FastAPI APIs.
Production RAG Knowledge Assistant
June 24, 2026 – Present
Developed chunking, embeddings, vector indexing and retrieval optimization using LangChain, LlamaIndex and ChromaDB concepts.
AI Agents Automation Platform
June 24, 2026 – Present
Built autonomous AI workflows using CrewAI and AutoGen for document analysis and task orchestration.
LLM Analytics Chatbot
June 24, 2026 – Present
Integrated SQL, Power BI and LLM APIs to generate business insights from structured and unstructured data.
Data Science & Analytics
Internshala
June 1, 2026 – Present
Certified AI Driven Professional
Be10X
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a diverse application of Generative AI technologies, from enterprise assistants to analytics chatbots and automation platforms. This breadth of experience suggests adaptability and a willingness to tackle different problem domains within AI. The role at GlobalLogic as a 'Generative AI Engineer & Data Analyst' aligns directly with the target role, indicating a focused career trajectory. The certifications in Data Science & Analytics and AI Driven Professional further support a commitment to continuous learning in relevant fields. However, the educational background in Automobile Engineering, while not directly related, shows a transition into AI, which can be a positive indicator of drive, but also suggests a non-traditional path that might require deeper validation of foundational computer science concepts.
Soft Skills & Operational Fit
The candidate's resume highlights experience in automating workflows and processing data with high accuracy, suggesting an attention to detail and efficiency. The project descriptions indicate an ability to work on complex, multi-component systems. However, without specific psychometric or English test results, a comprehensive assessment of soft skills, stress handling, and team collaboration cannot be fully made.