Haqqında

Bölmə: Information technologies and programming

Vəzifə: Lecturer

Azerbaijani (Ana dili): Fluent

Turkish : Fluent

English : Fluent

French : Good

Russian : Elementary

Statistical Programming language: R, Julia

Scientific Computations: Scipy, Sympy, Numpy, Cupy

Data Manipulations: Pandas, Polars, CuDf

Deep Leaning Systems: Keras, Tensorflow, Pytorch, Flax

Data Mining: SPMF, MLXtend

High Dimensional Data Manipulations

Recommender Systems: CF, content-based, MF, deep/hybrid, graph, bandits; libs: Surprise, LightFM, Implicit, RecBole, TFRS, Merlin; metrics: P@K, R@K, NDCG; A/B.

MLOps & Serving: Docker, K8s, FastAPI/gRPC, Triton; CI/CD.

Search/IR: BM25, ANN, dense retrieval; Elasticsearch/OpenSearch/Vespa

Feature Stores & Real-Time: Feast, Tecton; online features, streaming joins.

Observability & SRE for ML: OpenTelemetry, Prometheus, Grafana; alerts, SLOs.

Privacy, Security & Responsible AI: PII/DP, federated learning; bias/fairness audits.

MS Office (MS Word; MS PowerPoint; MS Excel; MS Publisher; MS Outlook; MS Teams)

High Dimensional Data Manipulations

Process Intelligence: Process mining, task mining, process discovery, conformance checking, predictive monitoring, optimization.

Autonomous Agents: Multi-agent reinforcement learning, agent frameworks.

Responsible GenAI: Red-teaming, prompt injection defense, jailbreak detection, watermarking, synthetic content detection

Automated Data Labeling & Weak Supervision: Snorkel, Label Studio, Prodigy; programmatic labeling, active learning

AI for Code: Copilot, Gemini CLI; code generation, bug detection, refactoring automation

Energy-Efficient AI: Green AI, carbon-aware scheduling, model energy profiling.

Autonomous Decision-Making Systems: Self-optimizing systems, closed-loop AI, adaptive policies.

Spatial Computing & AR/VR AI: AI for augmented/virtual/mixed reality, digital twins, 3D interaction

Federated & Distributed AI Systems: Privacy-preserving, decentralized training and inference; frameworks: TensorFlow Federated

Programming: Pascal, COBOL, C, C++, C#, Java

Programming language Python, Machine Learning and Deep Learning Techniques

Machine Learning Libraries: Sklearn, XgBoost, LightGBM, CuML

DBMS: OracleSQL, PostgreSQL, MySQL

Knowlegde Science: Knowledge Graphs & Ontologies

Single & Multi Objective Optimization: Keras Tuner, Scikit Optimize, Torch Optim

Decision intelligence: Antifragility of decision, Business intelligence, Decision quality, Design rationale, Heuristics in judgment and decision-making, Decision optimization, Operations research, Risk analysis

Data Eng & Orchestration: Spark; Dask; Airflow; Kafka.

LLMOps & RAG: LangChain; vector DBs (FAISS, Milvus, Pinecone, pgvector).

Causal Inference & Uplift: DoWhy, EconML/CausalML; CUPED, exp design

Time-Series Systems: ARIMA/SARIMA, Prophet, TBATS, GluonTS, darts.

Model Compression & Acceleration: pruning, quantization, distillation; ONNX, TensorRT, TVM.

Generative AI Systems: Diffusion models, GANs, LDMs; tools: Stable Diffusion, MidJourney, Runway, ComfyUI.

Synthetic Data Generation: Gretel, MostlyAI, SDV; tabular, text, image, time-series generation.

Edge AI & TinyML: TensorFlow Lite, Edge Impulse, MicroTVM; low-power deployment on IoT/embedded devices

Digital Twins: Process & system-level twins; tools: AnyLogic

Neuroscience-inspired AI: Spiking neural networks, neuromorphic hardware

Explainable AI (XAI): SHAP, LIME, Anchors, Captum, DALEX; interpretability for ML/DL models.

G-Suite Google (Google Classroom, Google Meet, Google Docs, Google Forms, etc.)

Management science: Contract theory, Data mining, Decision analysis, Engineering Forecasting, Marketing, Finance, Operations Control, Game theory, Industrial engineering, Logistics, On-line Management, Mathematical modeling, Optimization, Operational research, Probability and statistics, Project management, Simulation, Social network / Transportation forecasting models, Supply chain management

Machine learning and data mining: Supervised learning (Classification • Regression), Unsupervised learning (Clustering • Dimensionality reduction • Association Rule mining • Sequential Pattern mining), Structured prediction, Anomaly detection, Deep Neural Networks, Reinforcement learning, Learning with Humans, Model Diagnostics

Experiment Tracking & Monitoring: MLflow, W&B, Evidently.

Data Quality & Governance: Great Expectations, Pandera; data contracts, lineage.

Neuro-Symbolic AI: Integration of logic + ML; libraries: PyReason.

Graph Machine Learning: GNNs, GraphSAGE, GAT, Node2Vec; libs: PyG.

Cloud-Native AI: AWS Sagemaker, GCP Vertex AI

Agentic Software Engineering: Cursor, Gemini CLI, Codex

Building Large Language Models: Ollama, Hugging Face Training, Wandb

High Performance Computations: Jax, Cuda, Numba

Imbalance Machine Learning: Imblearn

Image Synthesis: OpenGL, Vulkan

Chatbot systems: ChatGPT, Claude, Gemini, DeepSeek, Grok, Qwen, Perplexity, Liner, Llama, Mistral, Smallthinker, IBM Granite, Microsoft Phi, Cohere Command, Deep Cogito

Image Processing: OpenCV, Scikit-image, Mahotas

Data Visualizations: 2D & 3D graphs, high dimensional visualizations, Matplotlib, Seaborn, Bokeh, Altair, Vega, PIL

Computer Vision: Machine Perceptions, Panoptic Segmentations

Operating Systems: Linux, Debian, Fedora, Ubuntu, Windows XP, Windows Vista, Windows 7, Windows 8, Windows 8.1, Windows 10, Windows 11, Android, IOS