I’m a self-motivated and largely self-taught developer with a strong foundation in data engineering and AI. My work focuses on solving real-world problems through scalable architectures, intelligent systems, and robust data pipelines.
- Programming: Python, SQL, C++, TypeScript / JavaScript, Bash, Dart, C#
- Markup & Styling: HTML, CSS
- Libraries & Frameworks: PyTorch, Hugging Face Transformers, Keras, Scikit-learn, LSTM, NLTK, Pandas, NumPy
- Key Techniques: Fine-tuning, Prompt Engineering, Few-shot Learning, Ensemble Methods, CNNs, LSTMs, Transfer Learning, Feature Engineering, Image/Data Augmentation, Time-series, Clustering, Classification, Regression, RF
- Big Data & Pipelines: Apache Spark, Apache Airflow, ETL Design, Batch Processing (learning Kafka for stream processing)
- Data Mining: Selenium, BeautifulSoup, Requests, Scrapy
- Testing & Validation: PyTest, Coverage, Assertions
- Frameworks: Flask, FastAPI, Node.js, Next.js
- Architecture: REST API design, Authentication, Microservices
- Cloud & Infra: Docker, AWS, Apache Iceberg, MinIO (S3-compatible)
- Relational: PostgreSQL, MySQL, SQLite
- NoSQL & Cloud: MongoDB, Firebase Firestore
- Frameworks & UI: React, Next.js, HTML, Tailwind CSS
- UX Practices: Responsive UI, Component Libraries
- Git, Apache Superset, Power BI, VS Code, Bash, Jira, Trello, MS Suite
- 📧 Email: syedarija02@gmail.com
- 🧠 Portfolio
