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Anurag Pandey

Agentic AI Engineer | Multi-Agent Systems · LangGraph · MCP · Advanced RAG | Shipping Production GenAI @ Opsight AI · NIT Raipur ’26

Noida

< 1 year of work experience

Opsight AI Pvt Ltd
Apr 20264 moPresent

Noida, Uttar Pradesh, India

• Architected and developed an intelligent AI Copilot system capable of autonomously answering complex user queries by integrating natural language understanding with real-time data retrieval pipelines. • Built an end-to-end query handling pipeline using LLMs — translating plain English questions into optimized queries executed against InfluxDB (time-series database), enabling contextual, data-driven responses with zero manual query writing. • Designed a dynamic, interactive dashboard powered by real-time InfluxDB data, presenting results through clean visual charts and metrics — allowing users to explore, filter, and download insights directly from the interface. • Implemented seamless data export functionality, enabling users to download query results and dashboard reports in structured formats (CSV/PDF), improving data accessibility and decision-making workflows. • Engineered intelligent response generation where the Copilot interprets user intent, fetches the most relevant time-series data, and returns structured, human-readable answers enriched with visual summaries. • Optimized InfluxDB query performance for high-frequency time-series data retrieval, ensuring low-latency, accurate results even across large datasets and multiple metric streams.
Euron
Dec 20253 mosFeb 2026

India

Built an AI-powered banking data explorer using RAG architecture, integrating Euron API for embeddings and chat completions with Pinecone vector database, enabling natural language queries on financial datasets with real-time anomaly detection and interactive visualizations.
All India Institute of Medical Sciences(AIIMS) Raipur
May 20243 mosJul 2024

• Fine-tuned a BERT model on 20 genomic research papers, enabling domain-level knowledge extraction for clinical use cases • Engineered a LangChain-based agentic AI system with structured prompt templates, allowing researchers to query and interpret complex genetic findings interactively • Crafted an output formatting workflow with custom prompting strategies, delivering organized responses that reduced information review time by 60%
GitHub
@Anuragp-001
Personal portfolioportfolio-zeta-plum-70.vercel.app

Anurag’s AI Stack

anthropic apis
anthropic apis
antigravity
antigravity
claude code
claude code
hugging face
hugging face
langgraph
langgraph
ollama
ollama

Education

National Institute of Technology Raipur

Bachelor of Technology

National Institute of Technology Raipur

20224 yrs2026

12

MTS Public School

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Headline

Agentic AI Engineer | Multi-Agent Systems · LangGraph · MCP · Advanced RAG | Shipping Production GenAI @ Opsight AI · NIT Raipur ’26

About

I build end-to-end AI and Machine Learning systems that solve real-world problems. My work spans model training, RAG pipelines, LLM fine-tuning, and production deployments. Actively seeking AI/ML or GenAI roles to build scalable, high-impact solutions.

Location

Noida

AI stack

anthropic apis

antigravity

claude code

hugging face

langgraph

ollama

Work experience

AI Engineer (with specialization in LLM Systems & Agentic AI) at Opsight AI Pvt Ltd, Apr 2026 - Present · 4 mo, Noida, Uttar Pradesh, India, • Architected and developed an intelligent AI Copilot system capable of autonomously answering complex user queries by integrating natural language understanding with real-time data retrieval pipelines. • Built an end-to-end query handling pipeline using LLMs — translating plain English questions into optimized queries executed against InfluxDB (time-series database), enabling contextual, data-driven responses with zero manual query writing. • Designed a dynamic, interactive dashboard powered by real-time InfluxDB data, presenting results through clean visual charts and metrics — allowing users to explore, filter, and download insights directly from the interface. • Implemented seamless data export functionality, enabling users to download query results and dashboard reports in structured formats (CSV/PDF), improving data accessibility and decision-making workflows. • Engineered intelligent response generation where the Copilot interprets user intent, fetches the most relevant time-series data, and returns structured, human-readable answers enriched with visual summaries. • Optimized InfluxDB query performance for high-frequency time-series data retrieval, ensuring low-latency, accurate results even across large datasets and multiple metric streams.

AI-ML Intern at Euron, Dec 2025 - Feb 2026 · 3 mos, India, Built an AI-powered banking data explorer using RAG architecture, integrating Euron API for embeddings and chat completions with Pinecone vector database, enabling natural language queries on financial datasets with real-time anomaly detection and interactive visualizations.

Ai and Healthcare Intern at All India Institute of Medical Sciences(AIIMS) Raipur, May 2024 - Jul 2024 · 3 mos, • Fine-tuned a BERT model on 20 genomic research papers, enabling domain-level knowledge extraction for clinical use cases • Engineered a LangChain-based agentic AI system with structured prompt templates, allowing researchers to query and interpret complex genetic findings interactively • Crafted an output formatting workflow with custom prompting strategies, delivering organized responses that reduced information review time by 60%

Education

Bachelor of Technology, National Institute of Technology Raipur

12, MTS Public School

Public links

github: https://github.com/Anuragp-001

portfolio-zeta-plum-70.vercel.app: https://portfolio-zeta-plum-70.vercel.app/