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// AJ-190305 PORTFOLIO.SPEC
ARNAV JAIN.

Builds systems.
Breaks them on purpose.

Software Engineer — Bengaluru, India

System.IDAJ-190305
Roles
  • >Exploring security
  • >Competing in CTFs
  • >Learning by tinkering
FocusSecurity & Automation
EducationRV University, '27
StatusOpen to work
// Profile.Summary

Computer Science student with a passion for cybersecurity, hands-on experience in penetration testing, CTFs, network security. Strong interests in offensive security, data privacy, and AI security & governance, with experience across Linux, cloud, DevOps, and AI automation. Passionate about learning through building and problem-solving.

Explore my work ↓

Experience

Intern Software Engineer

Bitcot Technologies

Jun 2025 — Aug 2025 · Chennai, TN

  • Built and deployed 10+ automation workflows in n8n, integrating REST APIs with LLM-based agents
  • Designed pipelines combining business logic, external APIs, and AI agents; cut manual effort ~50%
  • Implemented autonomous agents for multi-step reasoning, API orchestration, and task execution
  • Tested and documented workflows for production reliability

Summer Intern

Centre of IoT and Edge Computing, RV University

Jun 2024 — Aug 2024 · Bengaluru, KA

  • Built a real-time traffic-signal optimization system using computer vision
  • Real-time image acquisition on Raspberry Pi 5 with camera modules
  • OpenCV edge detection to estimate vehicle density and adjust signal timing dynamically

Toolkit

Languages

PythonC/C++Bash

Security Tools

NmapWiresharkBurp SuiteMetasploitKali LinuxPenetration TestingVulnerability AssessmentCryptography

Frameworks & Infra

Next.jsFlaskBootstrapDockerAWSGitGitHubLinux

Databases

MySQLSQLAlchemySQLite

ML / CV Libraries

NumPyPandasOpenCVMatplotlibTensorFlowKerasPyTorch

Automation & AI

n8nREST APIsLLMsAI Agents

Verified record

Vice President, CyberSec - The Cybersecurity Club, RV University (Jul 2024 - August 2026). Competitive results below.

1st PlaceLuminus Techfest CTF, RNSIT
Apr 2026
2nd PlacePhaseShift CTF, BMSCE
Sept 2025
1st PlaceRVCE CTF
Apr 2025
1st PlaceRVU Mini CTF
Oct 2023

Publications

Energy-Aware Buildings Reconfigure Internal Systems to Reduce Peak Demand

IEEE Conference Paper

An LSTM-based forecasting model paired with a peak-shaving control algorithm to dynamically reconfigure HVAC, lighting, and appliances — simulated 38% peak-demand reduction on a six-zone commercial building.

Nov 2025

Real-Time Power Analytics Prevent Blackouts in Overloaded Urban Grids

IEEE Conference Paper

A predictive overload-detection and load-redistribution framework over smart meters and LSTM networks — simulated 94.8% prediction accuracy and 90%+ fewer blackout incidents on a 500-node grid.

Nov 2025