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Arman KhanAK
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Arman Khan

@armankhan4

I build machine learning and agentic AI systems for operational decision-making.

India
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What I'm looking for

I'm looking to apply machine learning, agentic AI, RAG, and automation to mathematically demanding operational problems, turning real-world data into reliable and useful decisions.

I've built AI-powered systems that turn sensor and document data into useful decisions, including an HVAC fault detection assistant that combined XGBoost with LangChain and RAG to classify eight fault categories at 80.2% test accuracy.

I also developed a five-agent research paper analyzer using LangGraph, LangChain, MCP, Hugging Face embeddings, and FAISS, achieving an average report score of 8.5/10 across six research papers. My HR Assistant Bot used n8n, Mistral LLM agents, conversational memory, conditional routing, and human approval workflows for sensitive requests.

With an Electrical Engineering background, I've worked on power-system modelling in MATLAB and field fault detection using GPR and TDR sensor systems. I'm drawn to mathematically demanding problems and building reliable AI workflows from operational data.

Experience

Work history, roles, and key accomplishments

SG

Field Engineer

Smart City Gwalior

Jan 2024 - May 2024 (4 months)

Managed fault detection and infrastructure monitoring, detecting and diagnosing underground cable and pipeline faults using GPR and TDR sensor systems.

MS

Research Internship

Madhav Institute of Technology and Science

Mar 2023 - Jul 2023 (4 months)

Modeled load variations and transmission line outages in a DC 9-bus system using MATLAB, analyzing power flow, bus sensitivity, and contingency behavior.

Education

Degrees, certifications, and relevant coursework

Madhav Institute of Technology and Science logoMS

Madhav Institute of Technology and Science

Bachelor of Technology, Electrical Engineering

2020 - 2024

Grade: 8.06/10

Pursued a Bachelor of Technology in Electrical Engineering, achieving a CGPA of 8.06/10.

GS

G.D. Goenka Public School

Senior Secondary (Class XII), General Studies

Grade: 83.6%

Completed CBSE Senior Secondary (Class XII) with 83.6%.

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