I am a passionate Researcher & AI Architector with over 25+ years of research experience and 1.2k+ citations Google Scholar ↗
Research interests reflect 25+ years of experience in data science, machine learning, and interdisciplinary applications across academia and industry, with focus on practical implementations and real-world impact.
| GitHub Stats | Most Used Languages | Profile Summary |
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| Project | Tech Stack | Key Result | Link |
|---|---|---|---|
| Enterprise Agents Capstone | Python, Multi-Agent AI, Gemini API, Pandas, Asyncio | $124M profit optimization, 86.8% approval rate, 138 sanctions triggers | GitHub |
| DS Tools | Python, Pandas, NumPy, Sklearn, Plotly | 30+ reusable modules for EDA, feature engineering, model evaluation, distances estimation | GitHub |
| Adaptive Bayes | Python, PyMC, NumPy, Jupyter | Dynamic Bayesian updating with 94% posterior accuracy on non-stationary data | GitHub |
| Complexity Cost Profiler | Python, NetworkX, Pandas, Streamlit | 30% cost reduction via graph-based complexity scoring of IT services | GitHub |
| KZ Data Imputation | Python, Pandas, Scikit-learn, XGBoost | 95% imputation accuracy on Wind Turbine Scada Dataset with 40% missingness | GitHub |
| MDSE Theory | Python, SymPy, Matplotlib, LaTeX | Symbolic derivation & visualization of Novel probabilistic framework | GitHub |
| S3/S4 Activation Function | Python, PyTorch, NumPy, Matplotlib | Novel activation function outperforming ReLU by 2.3% on CIFAR-10; ~5.5-6.5x speedup demonstrates the effectiveness of the CUDA-accelerated backend for processing large volumes of data | GitHub |
| NOVAK: Unified adaptive optimizer | Python, PyTorch, CUDA/cuDNN, NVCC, NumPy | #1 accuracy on 3/4 benchmarks: 89.32% CIFAR-10, 66.41% CIFAR-100, 98.11% ImageNet; +11.89 to +19.98 pp advantage over Adam across datasets; 14.9-46.2% memory reduction vs. adaptive methods; 26.0% faster than SGD despite per-epoch overhead; O(p + p/k) memory for lookahead (vs. O(2p) standard); 64.3% lower failure rate than modern adaptive methods | will be soon opened |
Primary Research Areas
| 🧠 ML & DL Architectures |
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| Novel Neural Network Architectures: Development of custom deep learning architectures from scratch, including proprietary hourglass architectures for time series forecasting |
| Optimization Algorithms: Advanced hyperparameter optimization techniques using Grid Search, Random Search, Optuna, and Neptune for model performance enhancement |
| Model Interpretability & Explainable AI (XAI): Research into interpretable machine learning models and explanation techniques for complex AI systems |
| 📊 Time Series (TS) Analysis & Forecasting |
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| Advanced TS Modeling: Implementation and comparison of state-of-the-art models including TimesFM, Lag-Llama, TiDE, NhiTS, N-BEATS, TimeGPT, and Temporal Fusion Transformers (TFT) |
| Financial Market Prediction: Cryptocurrency and stock market forecasting using deep learning approaches with bi-LSTM and dense layer architectures |
| Big Data TS: Scalable time series analysis for large-scale financial and banking datasets with MAPE < 10% accuracy targets |
| 🔤 NLP & LLM |
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| Retrieval-Augmented Generation (RAG): Advanced RAG systems implementation with various embedding models and vector databases (ChromaDB, FAISS) |
| Text-to-SQL Translation: Automated query generation from natural language using transformer-based models and code generation techniques |
| Multimodal AI: Text-to-Speech (TTS), Speech-to-Text (STT), and Text-to-Image (TTI) systems using cutting-edge models like Whisper, VITS, and Stable Diffusion variants |
| Zero-Shot & Few-Shot Learning: Classification and pattern recognition without extensive training data |
| 👁️ CV & Pattern Recognition |
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| Human Pose Estimation: Advanced pose detection and tracking systems for real-world applications |
| Object Detection & Recognition: Implementation of state-of-the-art detection algorithms with custom optimization techniques |
| Image Enhancement & Super-Resolution: Multi-slice upscaling techniques using ESRGAN and Stable Diffusion XL models |
| Medical Image Analysis: Computer vision applications in healthcare and diagnostic imaging |
| 🏦 Financial Technology & Security |
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| Anti-Fraud Detection: Pattern recognition and anomaly detection in financial transactions using machine learning approaches |
| Risk Management Systems: Graph theory algorithms for connectivity analysis in financial institutions |
| Banking Analytics: Customer behavior analysis, recommendation systems, and Top-of-Wallet predictions |
| Blockchain & Cryptocurrency: Market analysis and trading strategy development using deep learning |
| 🔗 Graph Theory & Network Analysis |
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| Financial Network Connectivity: Mathematical modeling of relationships between financial institutions for risk assessment |
| Social Network Analysis: Application of graph algorithms to understand complex network structures in various domains |
| 🎯 Recommendation Systems |
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| Advanced RecSys Architectures: Implementation of ensemble methods using GRU4Rec, LightFM, matrix factorization, and attention mechanisms |
| Cold Start Problem: Novel approaches to recommendation systems for new users and items |
| Multi-modal Recommendations: Integration of various data types for enhanced recommendation accuracy |
| ⚡ High-Performance Computing & Optimization |
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| Distributed Computing: Scalable machine learning using Apache Spark, Dask, and Ray for big data processing |
| Model Optimization: Parallelization techniques and hardware acceleration for neural network training |
| MLOps & Deployment: Production-ready machine learning systems with continuous integration and monitoring |
| 🤖 Agentic AI & Autonomous Systems |
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| LangChain & LangGraph: Development of autonomous AI agents for complex task execution |
| Multi-Agent Systems: Coordination and collaboration between multiple AI agents |
| AI Safety & Alignment: Research into safe and beneficial artificial intelligence systems |
| 🔮 Generative AI & Creative Applications |
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| Stable Diffusion Research: Advanced image generation techniques and model fine-tuning |
| AI-Assisted Content Creation: Tools and frameworks for creative industries |
| Synthetic Data Generation: High-quality synthetic datasets for training and evaluation |
| 📈 Quantitative Finance & Algorithmic Trading |
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| Market Microstructure: High-frequency trading strategies using machine learning |
| Portfolio Optimization: Multi-objective optimization techniques for investment strategies |
| Behavioral Finance: Integration of psychological factors in financial modeling |
| 🔬 Research Methodologies |
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| CRISP-DM & CRISP-ML(Q): Standardized approaches to data science and machine learning projects |
| OSEMN Framework: Systematic data science workflow implementation |
| Custom DSMLC: Proprietary data science and machine learning lifecycle methodologies |
| 📊 Statistical Analysis & Modeling |
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| Hypothesis Testing: Advanced statistical methods for research validation |
| Multivariate Analysis: Complex statistical modeling for high-dimensional data |
| Causal Inference: Methods for establishing causality in observational data |
| 🏗️ System Architecture & Engineering |
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| Scalable ML Pipelines: End-to-end machine learning system design and implementation |
| Cloud Computing: Multi-cloud deployment strategies (GCP, AWS, Azure) for ML workloads |
| Edge Computing: Optimization of models for mobile and IoT devices using TensorFlow Lite |
| 🌟 Next-Generation AI Systems |
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| Neuromorphic Computing: Brain-inspired computing architectures for AI acceleration |
| Quantum Machine Learning: Integration of quantum computing with machine learning algorithms |
| Federated Learning: Privacy-preserving distributed machine learning systems |
| 🌍 AI for Social Good |
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| Healthcare AI: Medical diagnosis and treatment recommendation systems |
| Environmental Monitoring: AI applications for climate change and sustainability |
| Educational Technology: Personalized learning systems and intelligent tutoring |
| 🔐 Privacy & Security in AI |
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| Differential Privacy: Privacy-preserving machine learning techniques |
| Adversarial Machine Learning: Robustness against adversarial attacks |
| Secure Multi-party Computation: Privacy-preserving collaborative AI systems |