Skills

 

I have developed expertise in the following areas through my work and a Master’s degree in Data Science. This list is being continually updated with new skills acquired through my current projects.

 

Programming Languages

Python, Java, JavaScript, PHP, HTML, CSS

Python Frameworks

NLP & LLMs: spaCy, NLTK, OpenAI API, Gemini API

Agentic Workflows: FastMCP, LangChain, LangGraph, LangSmith, LlamaIndex

Evaluation: TruLens

Web Apps: Uvicorn, FastAPI, Pydantic, asyncio, HTTPX

Machine Learning: scikit-learn, PyTorch

Hugging Face: Transformers, Datasets, Tokenizers, Evaluate, Accelerate, bitsandbytes

Working With SQL Databases: sqlite3, SQLAlchemy

GUI: Streamlit, Gradio

Data Analysis: NumPy, pandas

Data Visualization: Matplotlib, Plotly, seaborn

Experiment Tracking: Weights & Biases, TensorBoard

Parallel Computing: Dask

Testing: pytest, unittest

Databases

Vector Databases: OpenSearch, Chroma DB

Relational Databases: PostgreSQL, MySQL, Oracle

NoSQL: MongoDB, Neo4J, Cassandra

Big Data: Apache Spark, PySpark

Development

Dependency Management: uv, Poetry, conda

Code Quality: Ruff

AI: GitHub Copilot, OpenAI Codex

IDEs: PyCharm, Cursor, VS Code

Containerization

Docker

Version Control

Git, SVN

DevOps & Collaboration

GitLab

Cloud

Render

Google Cloud Platform (GCP): Vertex AI

Semantic Web

RDF, SPARQL

Agile Project Management

Scrum, Kanban