02 How I help
What I focus on.
A few areas where I do my best work, with the full toolkit underneath.
01
AI Strategy & Roadmaps
Turn an ambiguous mandate into a sequenced, measurable plan the board can back.
Across 5 industries
02
Applied ML & GenAI
NLP, computer vision, and agentic systems shipped to production, not demos.
NLP · CV · Agents
03
R&D Acceleration
Tighten the loop from research question to reliable, reported result.
2× faster to reported results
04
Teams that Deliver
Build and lead the data science org, from first hire to operating rhythm.
VP · Constellation
02.1 The technical toolkit
Everything under the hood.
The whole stack, bottom to top: the languages everything rests on, up through the platform it ships on.
L05
Platform
Data, serving & ops
Database Management
- PostgreSQL, Oracle, MariaDB, MySQL, SQLite, SQL Server
- MongoDB, DuckDB
- Snowflake, BigQuery, DynamoDB
- Neo4j
- Redshift
- Pinecone, Weaviate, FAISS, ChromaDB
Backend Development
- REST API - FastAPI
- Flask, Django, Swagger
- Node.js
- GraphQL
- Docker, Airflow
- Git, CI/CD
- Nginx, Apache
- Elasticsearch, Typesense
- JupyterHub
Cloud
- Google Cloud Platform (GCP)
- Amazon Web Services (AWS)
- Microsoft Azure
- Firebase
- DigitalOcean
- Heroku
- Cloudflare
Data Visualization & BI
- Matplotlib, Seaborn, Plotly, Bokeh
- Dash, Streamlit
- Tableau, PowerBI, Looker
- Google Data Studio, D3.js
- Apache Zeppelin, Superset
Monitoring
- Tensorboard
- Weights & Biases
- Kibana
- Splunk
L04
Scale
Distributed compute
Big Data & Distributed Computing
- Apache Spark, PySpark, Snowpark
- Hadoop, HDFS
- Ray, Dask
- Rapids, CuDF
- Polars
- Modin
L03
Domains
CV · NLP · Generative AI
Computer Vision & Image Processing
- Image Processing - OpenCV, PIL
- Contextual Image Classification
- Object Detection, OCR, Face Recognition
- Semantic / Instance Segmentation
- Image Recognition, Generation, Style Transfer, Super Resolution
- GANs
- Image QnA, Image Captioning
Natural Language Processing (NLP)
- Text Preprocessing, Advanced Vectorization, Embeddings
- Text Classification, Sentiment Analysis
- Named Entity Recognition
- Question Answering
- Machine Translation
- AI Agents - Chatbots, Conversational AI
- Topic Modeling
Generative AI - Vision
- Stable Diffusion Models
- Kandinsky
- ControlNet
- Textual Inversion
- DALL-E, CLIP, Shap-E
- DiffEdit
- DreamBooth
- ViT
Generative AI - Language
- OpenAI - GPT-x
- Closed LLMs - Gemini, Claude
- Open LLMs - Mistral, LLama{x}
- Retrieval Augmented Generation (RAG) - Structured/Unstructured, Graph
- Agent Design - Single, Multi, Zero-Shot
- One-Shot Learning, Few-Shot Learning
- Prompt Design, Meta-Learning
- LangChain, LLamaIndex
- Vectorization, Embeddings Storage
- Semantic Search, Similarity & Routing
L02
Modeling
ML & deep learning
Machine Learning
- Scikit-Learn
- XGBoost, LightGBM, CatBoost
- H2O.ai
- AutoML - AutoKeras, AutoGluon
- PyCaret
- Prophet
- xAI - SHAP, LIME, ELI5, DiCE
- TPOT
- NLTK, SpaCy, TextBlob
- Word2Vec, GloVe, FastText
Deep Learning
- PyTorch
- TensorFlow, Keras
- FastAI
- OpenCV
- Transformers, Hugging Face
- ANN, CNN, RNN, LSTM
- RBM, VAE
L01
Foundations
Languages
Languages
- Python
- R
- SQL, GQL
- HTML, CSS, JavaScript
- Bash, LaTeX
- Mojo.🔥, Julia
- C++, C#