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AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
securevault
May 12, 2026 – Present
Secure file sharing system featuring zero-knowledge AES-256-GCM encryption, Argon2id password hashing, TOTP multi-factor authentication, VirusTotal malware scanning, expiring share links, and a live audit dashboard with brute-force detection.
View ProjectFile-Type-Identifier
May 8, 2026 – Present
A CLI-based file type identification tool using magic number signatures — with entropy analysis, hash generation, VirusTotal lookup, polyglot detection, and JSON/CSV reporting.
View Projectmulti-agent-soc
May 5, 2026 – Present
Autonomous multi-agent SOC powered by CrewAI + local LLM. Detects, investigates & triages security incidents using 4 AI agents — triage, threat hunting, forensics, and reporting — with MITRE ATT&CK mapping, AbuseIPDB/VirusTotal enrichment, and a Streamlit HITL analyst dashboard.
View Projectagent-siem
May 4, 2026 – Present
Autonomous SIEM platform — ReAct LLM agent investigates alerts, queries a ChromaDB vector store, enriches IOCs via VirusTotal + AbuseIPDB, and auto-blocks threats via Windows Firewall. Streamlit SOC dashboard with geo map + AI analyst chat.
View Projectsoar-incident-response-platform
May 3, 2026 – Present
Automated SOAR platform: ML-based detection → VirusTotal enrichment → auto-response
View Projectnetwork-intrusion-detection-system
May 1, 2026 – Present
ML + AI based NIDS with real-time Scapy detection and Streamlit SOC dashboard
View Projectdisaster-relief-prediction
February 9, 2026 – Present
machine learning model to predict the amount of supplies needed based on the statistics of the disaster
View Projectarduino-simulator
February 3, 2026 – Present
This is a simulation platform to play around with an arduino-uno, LED and a push button
View ProjectWater-Borne-Disease-predictor-with-Location-Hotspot-Visualization
August 2, 2025 – Present
Predict water-borne disease risk from individual or batch data using a Random Forest model. Visualize high-risk locations on an interactive map.
View ProjectCultural Fit Analysis
The candidate has a strong portfolio of personal projects, demonstrating initiative and a passion for technology. The projects span data science, machine learning, and cybersecurity, indicating a diverse interest and willingness to explore different domains. However, the projects are predominantly personal, and there is no information on collaborative work or experience in a professional team setting, which limits the assessment of cultural fit in a corporate environment. The target role is 'Data Scientist', and many projects align well with this, particularly those involving predictive modeling and data analysis.
Soft Skills & Operational Fit
The candidate's project descriptions are clear and concise, indicating good communication skills in a technical context. The focus on personal projects suggests self-motivation and a proactive approach to learning and development. However, without psychometric test results or interview data, it's difficult to assess other soft skills like teamwork, stress handling, or logical reasoning.