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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
ML-IDS
March 1, 2026 – Present
Full-stack ML intrusion detection system. Random Forest + Stacking Classifier on CIC-IDS2017 (78 features). FastAPI, async PostgreSQL, real-time WebSocket dashboard, Prometheus metrics, MLflow tracking, API key auth.
View ProjectResearch-Agent
January 10, 2026 – Present
Autonomous research agent — 10 sources in parallel, self-correcting loop, exports PDF/Word/HTML. Powered by LangGraph + Ollama.
View ProjectCognitiveNetworkAnomalyDetector
December 27, 2025 – Present
Network anomaly detection with triple-engine ensemble: Isolation Forest (40%) + LSTM Autoencoder/PyTorch (40%) + rule-based (20%). Scapy packet capture, 18 per-IP features, MLflow tracking, Streamlit dashboard.
View ProjectHopfieldAssigmentProblemSolver
September 20, 2025 – Present
Hybrid microservices architecture (Go/Gin API Gateway + Python/Flask Hopfield Solver) for assignment problems using Hopfield neural networks. Docker Compose, Nginx reverse proxy, Jenkins CI/CD.
View ProjectCognitive-Intrusion-Detection-System
March 28, 2025 – Present
Cognitive Network Defense System (CNDS). 4 detection engines (RF, Isolation Forest, LSTM Autoencoder, rules), Scapy capture, ensemble scoring, FastAPI with JWT/RBAC, GeoIP enrichment, alert correlation, adaptive weights.
View ProjectHopfieldSPP
November 24, 2024 – Present
Shortest path problem solver using Hopfield neural networks with TensorFlow 2.x. Three model versions: Original, Improved (95-100% optimal), Advanced (sparse tensors, attention, 5000+ nodes). FastAPI REST API.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and highly technical, focusing on advanced machine learning and system development. This indicates a strong passion for technology and self-driven learning. The diversity of projects, from network security to optimization problems and autonomous agents, suggests adaptability and a broad interest in applying data science. However, without team-based project experience or work history, assessing collaboration and broader cultural fit is limited.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a strong technical drive and ability to complete complex projects independently.