Experienced Computer Vision and Data Scientist in Aquaculture, Agriculture, E-commerce, Banking, Finance, and Geographic Information systems domain. In my past and current positions, I have gained immense experience in Information Systems Management, Software Development & Deployment, Project Management, Product Innovation, Product Design, Product Management, New Product Development, Product Marketing, Product Strategy, IT Service Delivery, Client Management, Business Intelligence & Reporting, Deep Learning, Machine Learning, and Data Analyst. ☞ Focus area of work: AI Agents, Multimodel, RAG, MLOps, LLMOps, Object Detection, Object Classification, Image Segmentation, Deep learning, Transformers, Recommendation System, Predictive Analytics, Multivariate Statistics, Clustering, Time series Analysis and Forecasting, Image Processing, and Geographic Information system. ☞ Skills to consult, teach and review publications and interpretations in a programming language. ✔Software Development: Python, R, JavaScript, Leaflet.js ✔API: Fast API, RestAPI ✔Data Analytics(BI & Reporting): OBIEE, Tableau ✔Relational Database : Oracle, MySQL, PostgresSQL (PostGIS) ✔Vector Database : Pinecone, LanceDB ✔Graph Database : Neo4j ✔RAG framework : Langchain (LangSmith, LangGraph), LlamaIndex ✔RAG: Agentic RAG, Graph RAG ✔Deep Learning: Keras, Tensorflow, PyTorch ✔Data Science & Machine Learning: Numpy, scikit-learn, matplotlib, pandas ✔Computer vision & Image processing: OpenCV ✔Linux Infrastructure: Linux/Unix Bash Scripting ✔GIS: QGIS, Google Earth Engine, Mapbox, Python (GEEMAP, QGIS, GDAL, Shapely, Geopandas) ✔CI/CD: Jenkins, GIthub Actions ✔MLOps: MLflow, DVC, Evidently AI ✔Cloud computing platforms: Amazon Web Services(AWS), Google Cloud Platform(GCP) ✔Containers: Docker ✔Container-orchestration: Kubernetes ✔Workflow Management: Apache Airflow