
CSE student | Open Source | Interested in SDE / AI
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Assessing your cultural and operational fit
CyberHackathon
May 23, 2026 – Present
A network forensics tool that processes a provided pcap (containing an embedded simulated attack), correctly extracts transferred files, identifies the attack timeline (scan to exploit to C2 to exfiltration), and generates a timestamped incident reconstruction report.
View Projectgreenqueue
March 17, 2026 – Present
A carbon-aware task scheduler for Python. Defers deferrable workloads to cleaner grid windows — reducing the carbon footprint of AI and compute-heavy applications.
View Projectecocache
March 16, 2026 – Present
A semantic caching layer for LLM APIs that reduces water consumption and carbon emissions by avoiding redundant AI inference calls.
View ProjectSHIELD.ai
March 3, 2026 – Present
SHIELD.ai is a comprehensive personal safety, anti-deepfake, and digital privacy platform designed to empower and protect women online. The project integrates advanced image forensics, adversarial privacy protections, automated legal reporting, and discreet access controls to counter deepfake exploitation and physical safety risks.
View ProjectNLP-Context-Aware-Prompt-Generation
October 25, 2025 – November 11, 2025
NLP-Context-Aware-Prompt-Generation — repository
View Projectskills-introduction-to-github
May 25, 2025 – May 25, 2025
Exercise: Introduction to GitHub
View Projectopus.ai-by-team-sonnet
March 8, 2025 – March 20, 2025
Opus.ai Tech stack and Implementation
View ProjectCultural Fit Analysis
The candidate's personal projects demonstrate initiative and a diverse range of interests, including cybersecurity, cloud resource management, and ethical AI. This breadth suggests adaptability and a willingness to explore different domains. The focus on projects with social impact (e.g., 'SHIELD.ai', 'ecocache', 'greenqueue') could indicate alignment with values-driven organizations. However, without information on collaborative experiences or preferred work environments, a comprehensive cultural fit assessment is limited.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are concise, but there is no information on teamwork, problem-solving approaches, or communication style.