A comprehensive overview of my technical expertise and proficiency levels
7+ Languages
Deep Learning, NLP, CV
ETL, Big Data, Analytics
AWS, Docker, CI/CD
Primary language for AI/ML, data engineering, web development, and automation projects.
Frontend development, Node.js, React, and interactive web applications.
Object-oriented programming, Android development basics, enterprise applications.
Systems programming, algorithms, and performance-critical applications.
Backend web development, MySQL integration, content management systems.
Flutter mobile app development, cross-platform applications.
Large Language Models, Retrieval-Augmented Generation, prompt engineering, and AI agents.
Building AI applications with chains, agents, memory, and tool integrations.
Neural networks, CNNs, RNNs, Transformers using TensorFlow and PyTorch.
Text processing, sentiment analysis, named entity recognition, language understanding.
Image classification, object detection, image processing, OpenCV.
Supervised, unsupervised learning, model training, evaluation, and optimization.
Designing and implementing Extract-Transform-Load pipelines for large-scale data processing.
Database design, complex queries, optimization, and administration.
NoSQL database design, aggregation pipelines, and document-based storage.
Workflow orchestration, DAGs, scheduling, and monitoring data pipelines.
Relational database management, stored procedures, and performance tuning.
ChromaDB, Pinecone for semantic search and RAG applications.
Analytical approach to breaking down complex problems into manageable solutions.
Clear technical communication with both technical and non-technical stakeholders.
Working effectively in cross-functional teams to achieve project goals.
Ability to explain complex concepts clearly, developed through teaching experience.
Quick to learn and adapt to new technologies and changing requirements.
Efficient prioritization and delivery of multiple projects simultaneously.
