Arjun Sanjay Pakhan

AI/ML Engineer | Cybersecurity Researcher | Distributed Systems Developer

Nagpur, IN.

About

Highly analytical and results-driven professional with a strong academic background in Computer Engineering and a focus on AI/ML, Cybersecurity, and Distributed Systems. Proven ability to design and implement complex solutions, evidenced by contributions to projects like a UEBA-based insider threat detection system and multi-agent AI command systems. Eager to leverage expertise in machine learning, network security, and data analysis to drive innovation and solve critical challenges in a target-driven environment.

Work

Maincrafts Technology

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AI/ML Engineering Intern

Noida, Uttar Pradesh, India

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Summary

Led the development of a UEBA-based insider threat detection system, applying ML and cybersecurity expertise to industry-grade problems in a production environment.

Highlights

Developed a UEBA-based insider threat detection system on CERT Insider Threat Dataset v6.2, leveraging behavioural baseline modelling, anomaly scoring, and ensemble classification for production-grade security data.

Applied advanced ML and cybersecurity principles to solve industry-grade problems, contributing to robust security solutions in a production environment.

Completed an 8-week mandatory Technical Internship Project (TIP) focused on AI/ML systems development, gaining practical experience in system implementation.

Education

NMIMS Mukesh Patel School of Technology

Mumbai, Maharashtra, India
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B.Tech (MBA Tech) Computer Engineering

Courses

Data Structures & Algorithms

Operating Systems

Machine Learning

Distributed Systems

Computer Networks

Database Management Systems

Cybersecurity

Languages

English

Certificates

SQL Injection Attacks

EC-Council CodeRed

Skills

Machine Learning

XGBoost, Random Forest, Isolation Forest, SMOTE, Federated Learning (FedAvg), Hybrid Feature Selection, Bias-Variance Analysis, Precision-Recall Tradeoff, Ensemble Methods, Class Imbalance Handling, Bayesian Reasoning, Information Theory (Entropy, Mutual Information).

Cybersecurity

AES-256 Encryption, Intrusion Detection Systems, IoT Security, SQL Injection, Network Security, Zero-Trust Architecture, Vulnerability Assessment, SIEM Concepts.

Distributed Systems

Raft Consensus, Consistent Hashing, CAP Theorem, MapReduce, Circuit Breaker, Heartbeat Monitoring, Docker, Ubuntu/WSL2, Flask, Java.

GPU & AI Systems

CUDA, NVIDIA NIM, GPU Passthrough (WSL2-Windows bridge), Multi-Agent Orchestration, Ollama, ChromaDB, LLM Fine-Tuning, RAG Pipelines, Groq LPU Inference.

Languages & Tools

Python, Java, JavaScript, C++, React.js, D3.js, Three.js, Node.js, Git, SQLite, MongoDB, Wireshark, Cloudflare Workers, Vercel.

Research

Neurofinance, Behavioral Economics, IEEE Paper Writing, Academic Research Methodology, Systems Thinking.

Competitive Programming

Data Structures, Algorithms, Dynamic Programming, Graphs, Trees.

Interests

Research Interests

Network intrusion detection, federated learning for security, GPU-accelerated ML inference, distributed AI systems, adversarial ML, IoT security, neurofinance and behavioral economics in fintech, multi-agent AI orchestration.

Projects

HEATSENSE - Hyperlocal Urban Heat Intelligence Platform

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Summary

ML research project focused on satellite data fusion and urban AI for designing a hyperlocal urban heat intelligence system for Indian cities.

JARVIS_EMPIRE — Multi-Agent AI Command System

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Summary

A personal engineering project involving the architecture and deployment of a 6-agent multi-agent AI system with GPU computing capabilities.

CERBERUS – IoT Malware Detection System

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Summary

Faculty-guided independent research project focusing on network security and ML for IoT malware detection.

SENTINEL – Secure Distributed Intrusion Detection System

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Summary

Independent research project focused on cybersecurity and distributed ML, designing an end-to-end distributed intrusion detection system with real-time prediction capabilities.

UPI Gen Z Spending Behaviour – Neurofinance Research

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Summary

Co-authored a research paper on behavioral economics and fintech, supervised by Dr. Sugam Shivhare, analyzing Gen Z UPI transaction patterns.