Poojita Chowdary Alla
@poojitachowdaryalla
Cloud-focused cybersecurity student building SOC-ready DFIR and IAM abuse detection solutions.
What I'm looking for
I’m a cloud-focused cybersecurity student specializing in Cloud DFIR, IAM abuse detection, logging, and pre-incident risk analysis. I bring a strong foundation in digital forensics, malware analysis, and security monitoring, with hands-on experience across Windows and Linux environments.
Right now, I’m actively building cloud-native detection and investigation projects aligned with SOC, cloud security analyst, and DFIR roles. My work focuses on turning raw telemetry into behavioral signals and reconstructing multi-stage attack chains to support earlier, better decisions.
In my project “Limes Cloud-Native Pre-Incident Risk Scanner,” I engineered a serverless detection pipeline that transforms raw AWS logs into behavioral signals and reconstructs multi-stage attack chains. In Windows Forensic Analysis Bootcamp, I apply temporal decay, context weighting, and entity correlation to identify reconnaissance, escalation, and lateral movement across entities, using volatile data capture, registry and file system forensics, and artifact/event log correlation.
Through internships and traineeships, I’ve developed monitoring and investigation tooling—like a Python-based HoneyTrace system that deploys decoy files to trigger stealth interaction and produces post-incident forensic artifacts. I also deployed and managed malware analysis environments with Cuckoo Sandbox, and I’ve performed vulnerability assessments and penetration tests to identify and remediate security vulnerabilities.
Experience
Work history, roles, and key accomplishments
Cyber Security Trainee
CDAC Trivandrum
Sep 2025 - Oct 2025 (1 month)
Applied temporal decay, context weighting, and entity correlation to identify reconnaissance, escalation, and lateral movement across entities. Completed hands-on forensic labs covering volatile data capture, registry and file system forensics (NTFS/FAT), and email/browser artifact recovery with event log correlation.
Cyber Security Intern
CyberZero
Aug 2025 - Sep 2025 (1 month)
Developed a Python-based monitoring daemon for a honeyfile-style intrusion detection setup that deploys decoys to trigger stealth tracking and reconnaissance. Produced post-incident forensic artifacts, including attacker behavior summaries and timelines, during a 45-day internship.
Cyber Security Intern
CDAC Noida
Jul 2025 - Aug 2025 (1 month)
Built a Java-based productivity enhancement tool that monitors active websites and applies timed corrective feedback. Supported malware analysis workflows by deploying and managing Windows 7 and Android VM analysis environments using Cuckoo Sandbox and performing static/dynamic analysis and behavioral tracking.
SDE Intern
Bluestock Fintech
May 2025 - Jun 2025 (1 month)
Co-led the development of a Django-based web application delivering real-time IPO information. Contributed backend development using Django and Django REST Framework for live company and market data.
Cyber Security Intern
Navodita Infotech
Mar 2025 - Apr 2025 (1 month)
Performed vulnerability assessments and penetration tests on network and web applications to identify security weaknesses. Supported remediation efforts by validating findings through security testing.
Education
Degrees, certifications, and relevant coursework
Bennett University
Bachelor of Technology (BTech), Computer Science
2024 -
Grade: GPA 8.8/10.0
Pursuing a BTech in Computer Science at Bennett University (GPA 8.8/10.0) from 2024–2028.
Pragyan School
High School, PCM+IP
2014 - 2024
Grade: Grade 10: 95.6%, Grade 12: 93.6%
Completed high school (PCM+IP) at Pragyan School from 2014–2024, scoring 95.6% in Grade 10 and 93.6% in Grade 12.
Availability
Location
Authorized to work in
Portfolio
github.com/Darth-saderJob categories
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