Programming Languages

Python

RDBMS /DB

MySQL, PostgreSQL, SQLite, MongoDB

Operating Systems

Windows, Linux

Tools and Technologies

• Data & ML Libraries: pandas, numpy, scipy, scikit-learn, tensorflow, keras, OpenCV, fuzzywuzzy, transformers, Scrapy

• LLM & NLP: Hugging Face (PEFT, TRL, Trainer), LangChain, LangGraph, Ollama, OpenAI API (GPT models, Batch API), NER, POS, Semantic Similarity, Text Mining, LDA, Sequence-to-Sequence with Attention

• MLOps & Deployment: Docker, FastAPI, Streamlit, Celery, Flask, AWS (S3, EC2, Lambda, ECR, SageMaker, API Gateway, DocumentDB), GitHub, Logging

• Data Engineering: ETL pipelines, Batch APIs, Time Series Forecasting, Statistical Analysis, Data Management, Data Manipulation

• Dev Tools: Jupyter Notebook, PyCharm, VScode, Jira, Confluence

Other

• Machine Learning: 

  • Supervised (KNN, Linear/Logistic Regression, SVM, Decision Trees, Random Forest, XGBoost, Neural Networks)

  • Unsupervised (K-means, DBSCAN, Agglomerative Clustering, PCA)

• Deep Learning: CNN, RNN, Transformers, Transfer Learning, Fine-tuning (including LoRA on small consumer GPUs)

• NLP & LLM Engineering: Prompt Engineering, Fine-tuning LLaMA models with LoRA, Custom LangChain agents, Training LLMs using low-rank adaptation principles

• Computer Vision: Image Classification, Object Detection, Image Recognition, OCR