Imran Chichkar

Cybersecurity Analyst

Community Dreams Foundation

Sep 2025 - Current (11 months)

• Conducted CyberArk access reviews, remediating orphaned and over-privileged accounts to mitigate credential misuse risk. • Analyzed Splunk and AWS CloudWatch logs to detect suspicious activity and escalated confirmed incidents and supported containment/remediation follow-ups. • Performed identity and endpoint hardening (MFA, access cleanup) to enforce principle of least privilege and enforce deny by default. • Delivered weekly risk and incident summaries highlighting trends, remediation status, and control gaps.

Graduate Teaching Assistant

University of Texas at Arlington

Aug 2024 - May 2025 (10 months)

• Designed and led 10+ secure coding workshops in C/C++ and Python on threat modeling, OWASP Top 10, and fuzz-testing pipelines. • Evaluated 100+ student projects, delivering targeted feedback on hardened coding practices and static analysis findings, directly reducing vulnerability density across submissions. • Constructed containerized Django REST API labs where students deployed and tested services with auth, input validation, and least-privilege defaults.

Threat Researcher II

Sophos

Aug 2021 - Aug 2023 (2 years 1 month)

• Tuned and validated 1,000+ Snort IDS/IPS signatures with regex, mapped to MITRE ATT&CK, dropping false positives by 27% and supporting on-schedule signature deployments. • Triaged 2,000+ MDR/EDR/XDR alerts monthly in a 24/7 SOC, enriching IOCs with threat-intel feeds and TTP analysis, cutting MTTR by 11% and documented findings and escalation notes. • Automated ingestion of 200+ IOCs per month from Cisco Talos, AlienVault OTX, and Trend Micro into MISP leveraging Python parsers, cutting down analyst triage workload by 39%. • Performed static and dynamic malware analysis leveraging IDA, Ghidra, Volatility, Autopsy, Wireshark and other tools to extract IOCs, author custom detection rules, and strengthen IDS/EDR coverage. • Led internal CVSS

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Full Stack Developer (Intern)

TechMave Solutions

Aug 2020 - Feb 2021 (7 months)

• Optimized Node.js queries and PostgreSQL indexing while adding Angular route-level lazy loading, improving API latency by 15% and first-paint time by ~200 ms. • Boosted full-stack app performance by 15%; reduced deployment times by 48% using Jenkins parallel builds and Docker layer caching. • Built REST + SOAP integrations and productionized CI/CD, enabling daily rollouts with safe canary deployments.

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