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Profile

Abishek Kumar

Cybersecurity Professional

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Hey, Iā€™m Abhishek šŸ‘‹

Iā€™m a cybersecurity graduate with hands-on experience in SIEM and secure application development. Iā€™m passionate about real-time monitoring, automation, and threat intelligence.

Currently exploring opportunities to contribute to industry projects, create impactful tools, and help secure critical systems around the world.

Previously worked at Deloitte USI (SIEM engineer) and interned with Deakin Cyber as a developer.

I also actively contribute to open source and work on portfolio projects that combine AI, IoT, and secure cloud infrastructure.

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Education

Masters in Cyber Security

Deakin University, Waurn Ponds VIC
Feb 2023 ā€“ Feb 2025

Read About Thesis
Bachelors in Computer Applications

Indraprastha University, India
Aug 2019 ā€“ Jul 2022

Minor Project Major Project

Experience

Dec 2023 ā€“ Nov 2024
Developer, Deakin Cyber Research

Burwood, Australia

  • Developed a research platform to validate theoretical models in real-world IoT environments.
  • Programmed Python scripts for sensor data acquisition via custom-built IoT gateways.
  • Integrated MQTT for real-time communication and built dashboards using Plotly/Dash and Flask.
  • Helped create secure interfaces to support authentication research in heterogeneous IoT devices.
Jul 2022 ā€“ Feb 2023
Associate Analyst, Deloitte USI

Hyderabad, India

  • Worked in the SOC team for real-time threat detection and incident response.
  • Used Splunk and CrowdStrike Falcon to monitor logs and respond to anomalies.
  • Performed threat intelligence correlation to reduce MTTD and MTTR.
  • Contributed to IR playbooks and automated alert triaging processes.
Jan 2022 ā€“ Mar 2022
Trainee Intern, Defence Research and Development Org (DRDO)

New Delhi, India

  • Configured network firewalls and managed data in a critical infrastructure setup.
  • Designed and tested DDoS detection algorithms using Python pattern recognition.
May 2021 ā€“ Jul 2021
Research Intern, Delhi University

New Delhi, India

  • Cleaned and transformed academic datasets using Pandas and NumPy in Google Colab.
  • Visualized insights using Matplotlib and Seaborn for research publication support.
  • Helped identify student performance patterns for predictive analytics models.
Skills
Interests