I have developed expertise in the following areas through my work and a Master’s degree in Data Science. This list is continually updated with new skills acquired through my current projects.
Programming Languages
Python, Java, JavaScript, PHP, HTML, CSS
Python Frameworks
NLP: spaCy, NLTK
Machine Learning: PyTorch, scikit-learn
LLM-Based Apps: LangChain, LangGraph, LangServe, LangSmith
Hugging Face: Transformers, Datasets, Tokenizers, Evaluate, Accelerate, bitsandbytes
LLMs: OpenAI API
Evaluation: TruLens
Web Apps: Uvicorn, FastAPI
GUI: Gradio, Streamlit
Data Analysis: NumPy, pandas
Data Visualization: Matplotlib, Plotly
Parallel Computing: Dask
Databases
Vector Databases: OpenSearch, Chroma DB
Relational Databases: Oracle, PostgreSQL, MySQL
NoSQL: MongoDB, Neo4J, Cassandra
Big Data: Apache Spark, PySpark
Experiment Tracking
Weights & Biases, TensorBoard
Containerization
Docker
Version Control
Git, SVN
DevOps & Collaboration
GitLab
Cloud
Google Cloud Platform (GCP): Vertex AI
Semantic Web
RDF, SPARQL
Agile Project Management
Scrum, Kanban