AI Engineer with 1+ years in Agentic AI & Machine Learning
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Anurag Bhandari is an AI Engineer with a strong background in Agentic AI, machine learning, deep learning, and data analysis. He has contributed to various projects involving generative AI and advanced algorithms, enhancing model performance and efficiency in data processing during internships at notable companies.
Jaypee Institute of Information Technology
B.Tech · Computer Science and Engineering
August 1, 2021 – June 30, 2025
Green Fields Public School
High School
June 1, 2019 – May 31, 2021
NEURODISCOVERYAI
AI ENGINEER
June 1, 2025 – Present
India
INNATE AI
DATA SCIENCE INTERN
May 1, 2024 – August 31, 2024
India
WISEOPS AI
AI ENGINEER INTERN
October 1, 2023 – November 30, 2023
India
WebWiz
June 24, 2026 – Present
WebWiz is a multi-agent web search agent which uses LangGraph to implement agent workflow to give you the best web search results. It is comprised of various agents and tools like Planner, web search, Researcher, Scraping, Reporter, Reviewer tool. It is compatible with OpenAI, Gemini, Claude and Groq. It even has a Chainlit Frontend.
View ProjectImage Classification
June 24, 2026 – Present
Custom Resnet9 architecture based CNN Model for the task of Image Classification on 131 categories of fruits and vegetables with 99% accuracy on the testing dataset.
RAGgle: Multi-Agent Travel Planning System
June 24, 2026 – Present
Implemented a parallel agent architecture using Pydantic AI and LangGraph that orchestrates five specialized agents for travel planning. The system features asynchronous execution, structured data validation, real-time streaming responses via Streamlit, and a modular architecture. Demonstrates advanced LLM application patterns with agent parallelization for improved task efficiency.
Cultural Fit Analysis
The candidate's project diversity, ranging from multi-agent web search to image classification and travel planning, indicates a broad interest in AI applications. Their experience across different companies (NEURODISCOVERYAI, INNATE AI, WISEOPS AI) and roles (AI Engineer, Data Science Intern) suggests adaptability and a willingness to explore various facets of AI. The focus on agentic workflows and LLM applications aligns well with the target role of an AI Engineer, demonstrating a strong cultural fit for an innovative, AI-centric environment.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through complex project implementations (e.g., multi-agent systems, RAG applications). Their involvement in open-source projects suggests a collaborative and initiative-taking attitude. The descriptions of optimizing data processing and model performance indicate an operational focus on efficiency and impact. However, without direct assessment data, specific soft skills like stress handling or team collaboration cannot be definitively evaluated.