Technical Skills of Shema Nkindi Giscard
My Skills
Full-Stack Web
- Frontend: React, Vanilla JS, HTML5/CSS3
- Backend & DB: PHP, REST APIs & Supabase
- 3D & WebGL: WebGL Integration & CSS 3D
- Streamlit: Advanced dashboards & tools
Core Programming
- Python (Expert): Automation, GUI & Machine Learning
- C++: Performance-critical apps & OpenGL
- Java & Kotlin: Object-Oriented & Android Dev
- Data Structures: Algorithms & Problem Solving
Cybersecurity
- Network Recon: Nmap scripting & scanning
- Fraud Detection: Hybrid ML (XGBoost, Isolation Forest)
- Cryptography: AES, RSA, Twofish, Argon2
- Security Auditing: SSH Brute-force simulation
Networking
- Protocols: TCP/IP, SSH, UART, BLE
- Linux Admin: Server management & Permissions
- Automation: Paramiko for SSH automation
- Infrastructure: IP Addressing & Subnetting
AI & Computer Vision
- Deep Learning: ResNet-50 & Face Analysis
- Multimodal AI: Emotion & Sentiment Analysis
- Machine Learning: XGBoost & Isolation Forest
- Computer Vision: OpenCV & Feature Matching
Data Science
- Libraries: NumPy, SciPy, Pandas
- Math: Linear Algebra (SVD, Eigenvalues)
- Visualization: Plotly & Dynamic Histograms
- Databases: SQLite3 & Data Management
Specialized Tools
- Media: FFmpeg & yt-dlp (Video Extraction)
- IoT: Arduino, ESP32 & Sensors
- Version Control: Git, GitHub & Branching
- Deployment: Streamlit Cloud & Netlify
Graphics & 3D
- Blender: 3D Modeling, Cloth Physics, Animation
- OpenGL: Rendering pipelines & Shaders
- CSS 3D: Hardware-accelerated transforms
- SVG: Vector graphics manipulation
AI & LLM Engineering
- LLM SDKs: Gemini 2.5 Flash SDK, Groq, OpenRouter
- Multimodal AI: Emotion & sentiment recognition
- Voice & Speech: Web Speech API, TTS & STT integration
- Prompt Engineering: Context-aware persona control
Blockchain & Full-Stack Web
- Blockchain: BIP39 mnemonics, ECDSA (SECP256k1)
- Consensus: Proof-of-Work simulation & ledger design
- PHP & MySQL: Full-stack social platforms & REST APIs
- Apache: .htaccess routing & server configuration
Research & Academic Methods
- Publication: 24 papers, preprints & thesis across six domains
- Writing: LaTeX, single-column journal formatting, ResearchGate
- Evaluation: ROC-AUC, PR curves, macro-F1, k6 load testing
- Rigor: Time-based splits, concept-drift & latency benchmarking
Explainable & Multimodal ML
- Explainability: SHAP attribution & Grad-CAM saliency
- Transfer Learning: VGG16, EfficientNetB0, ResNet-50
- Affective AI: Cross-Modal Transformers & VAD modeling
- Imbalanced Data: SMOTE, class weighting, hybrid ensembles