Rahul Pawar — Software Engineer
Cybersecurity professional with 7+ years of experience in anomaly detection, malware analysis, and threat research. At Volkswagen, developed and contributed to anomaly detection systems leveraging RNN architectures (LSTM, GRU, and Transformer), built backend APIs, and created Streamlit-based dashboards. Hands-on experience in analyzing network traffic, system activities, processes, registry, and ports using tools like Procmon, Regshot, and Cport, as well as writing firewall rules. Previously at Quick Heal, specialized in static/dynamic analysis of malware, network traffic, and phishing emails, creating detections and signatures for Windows executables, IDS/IPS (Snort/Suricata), and YARA rules, covering CVEs and zero-day threats. Experienced in deploying honeypots, leveraging SIEM tools for attack chain analysis, and staying ahead of evolving cyber threats through AI/ML, automation, and continuous research.
Stackforce AI infers this person is a Cybersecurity expert with strong skills in anomaly detection and malware analysis.
Location: Pune, Maharashtra, India
Experience: 7 yrs
Skills
- Anomaly Detection
- Cybersecurity
- Malware Analysis
- Cyber Threat Hunting
Career Highlights
- 7+ years of experience in cybersecurity.
- Expert in anomaly detection and malware analysis.
- Proficient in developing detection systems using AI/ML.
Work Experience
HCL GUVI
Subject Matter Expert (1 mo)
Volkswagen Group Digital Solutions [India]
Senior Software Engineer (2 yrs)
Quick Heal
Security Researcher II (2 yrs 1 mo)
Security Researcher l (1 yr 9 mos)
Associate Security Researcher (1 yr 2 mos)
Education
PG DBDA at Centre for Development of Advanced Computing (C-DAC)
BE - Bachelor of Engineering at Rajiv Gandhi Prodyogiki Vishwavidyalaya