Vikrant Sharma

Machine Learning Engineer specialising in Cybersecurity

Adelaide, South Australia · vikrantsharma892@gmail.com · vikrant69g.com · github.com/Vikrant892 · linkedin.com/in/vik892

Machine learning engineer who builds threat detection systems that ship. Seven production ML and security systems with live public demos and open source code. Industry experience across data engineering at Nagarro and security operations at AT SecurDI. NASA Space Apps Global Finalist 2023. Master of IT candidate at UniSC Adelaide, graduating August 2027. Open to internships and part-time work now, full-time over the November to February break.

Experience

Data Engineer · Nagarro

Dec 2024 to Feb 2025 · Adelaide, Australia

  • Designed and optimised dimensional data models on AWS Redshift and Snowflake for enterprise analytics workloads.
  • Built ETL pipelines that transformed high-volume transactional data into analyst-ready dimensional tables.
  • Delivered iterative client work via Agile and Scrum, contributing to weekly deliverables for enterprise stakeholders.

Cybersecurity Junior Analyst · AT SecurDI

May 2023 to Dec 2023 · Ahmedabad, India

  • Monitored SIEM platforms and triaged alerts to identify and escalate genuine security incidents.
  • Authored incident response runbooks adopted by the wider security operations team.
  • Performed OWASP Top 10 web application security testing for client engagements.
  • Conducted ISO 27001 and NIST CSF compliance audits across multiple client environments.

Selected projects, all live at vikrant69g.com

  • Hybrid ML Intrusion Detection System. Real-time hybrid NIDS and HIDS: Isolation Forest, Random Forest and Autoencoder ensemble on CICIDS2017 with MITRE ATT&CK alert mapping. Master of IT capstone, live on Hugging Face Spaces.
  • ThreatLens. FastAPI threat intelligence service correlating NVD CVE data with exploit availability and ATT&CK techniques into a composite triage score.
  • Credit Card Fraud Detection. Imbalanced classification pipeline (0.17 per cent positives, 284k transactions): SMOTE, XGBoost comparison, precision-recall threshold tuning.
  • Cosmic Keys. NASA Space Apps 2023 Global Finalist. Planetary data sonification engine built with Team Eklavya.

Skills

Machine learning
Python, PyTorch, scikit-learn, XGBoost, SMOTE, Pandas, NumPy, anomaly detection
Cybersecurity
MITRE ATT&CK, OWASP Top 10, NIST CSF, ISO 27001, SIEM, Suricata, Wireshark, incident response
Data engineering
SQL, AWS Redshift, Snowflake, PostgreSQL, Apache Airflow, ETL, dimensional modelling
Web, cloud and DevOps
FastAPI, Flask, React, Astro, TypeScript, Docker, AWS, OCI, Cloudflare, GitHub Actions, Linux

Certifications and awards

  • AWS Certified Data Engineer Associate (DEA-C01), May 2026
  • Oracle Cloud Infrastructure 2025 Certified Data Science Professional, Aug 2025
  • NASA Space Apps Galactic Problem Solver, Oct 2023
  • NASA Space Apps Challenge Global Finalist, Team Eklavya, 2023

Education

  • Master of Information Technology. University of the Sunshine Coast, Adelaide. 2025 to Aug 2027.
  • Bachelor of Computer Applications. CHARUSAT, CMPICA. 2021 to 2024.