Skills & Technologies
A comprehensive overview of my technical skills and expertise across different domains
AI Engineering
Model development, deep learning, and AI integration.
Fine-tuned transformers (BERT, GPT, T5) for NLP tasks. Built custom tokenizers and datasets. Deployed models using Hugging Face API and Spaces.
Developed production ML models with custom neural networks. Implemented transfer learning pipelines achieving 94% accuracy. Deployed models using TensorFlow Serving and TFLite.
Developed LLM applications with RAG systems and vector databases. Built agent-based workflows and custom chains for document processing and Q&A systems.
Built deep learning models and transformer architectures. Created custom training loops for specialized AI applications. Experience with PyTorch Lightning for distributed training.
AI Tools & Platforms
Platforms and APIs for AI, NLP, and LLM development.
Cloud API for accessing GPT models and AI capabilities.
Advanced AI assistant API with long-context and reasoning capabilities.
Python framework for building interactive data and ML web applications.
Google Cloud's unified ML platform for model development and deployment.
Cloud & Platform Engineering
Cloud infrastructure, orchestration, and platform services.
Microsoft's cloud platform for building and managing applications and services.
Amazon's comprehensive cloud computing platform with extensive AI/ML services.
Data Science & Analytics
Exploratory analysis, dashboards, and statistical modeling.
Advanced programming with NumPy, Pandas, and scientific libraries. Built pipelines handling millions of records. Implemented parallel processing and memory optimization.
Python library for numerical computing and array operations.
Python library for data manipulation and analysis with DataFrames.
Process of creating meaningful features from raw data for ML models.
Frameworks & Libraries
Reusable components, SDKs, and libraries powering systems.
Modern Python web framework for building high-performance APIs.
Lightweight Python web framework for building APIs and web applications.
High-level Python web framework for rapid development with built-in features.
Python library for creating ML model demos and interfaces quickly.
Frontend
UI components, responsive layouts, and interactive experiences.
Markup and styling languages for creating web pages and layouts.
Markup and styling languages for creating web pages and layouts.
Programming language for creating interactive web applications and interfaces.
JavaScript library for building component-based user interfaces.
Machine Learning Engineering
Classical ML, data preprocessing, and model training pipelines.
Developed CNN architectures for object detection and segmentation. Implemented YOLO and ResNet for real-time analysis. Created augmentation pipelines with OpenCV.
Expert in classical ML algorithms and preprocessing. Built ensemble models improving accuracy by 23%. Implemented automated workflows with hyperparameter tuning.
AI techniques for understanding and processing human language.
AI techniques for understanding and processing human language.
Managed ML lifecycle with experiment tracking and model registry. Built automated deployment pipelines. Integrated with cloud platforms for centralized management.
MLOps & ML Infrastructure
Model serving, CI/CD for ML, and lifecycle automation.
Fully managed service for building, training, and deploying ML models.
ML toolkit for Kubernetes enabling scalable model training and deployment.
Tools and practices for tracking model performance and data drift.