- Architecting scalable microservices in Python/TypeScript with distributed, containerized deployments.
- Designing and optimizing retrieval-augmented generation (RAG) pipelines for context-aware recommendations.
- Developing longitudinal time-series–based recommendation systems, leveraging historical data to adaptively personalize outcomes.
- Advanced MLOps practices: monitoring, lifecycle management, and model retraining at scale.
- Causal reasoning and symbolic planning to improve robustness in AI-driven decision systems.
- Efficient utilization of cloud GPU/compute resources for real-time adaptation.
- Rust and Go for high-performance, low-latency microservices in distributed systems.
AI/ML systems design
, RAG architectures
, LangGraph/LangChain
, Scalable microservices
, FastAPI/Django
, Kubernetes
, Cloud (Azure & AWS)
, and compliance-focused engineering.
Each certification is a milestone in my continuous learning journey to keep abreast of the latest advancements and contribute effectively to the field of Data Science and Software Development.
- Data Analytics for Lean Six Sigma - 2024
- Bash Scripting and Shell Programming (Linux Command Line) -2023
- Deploying Scalable Machine Learning for Data Science -2023
- Expressway to Data Science: Essential Math - 2023
- SQL for Data Science - 2023
- Statistics for Data Science and Business Analysis - 2023
- Mayhem Certified - 2022
- Microsoft Certified: Azure Data Fundamentals - 2021
- Microsoft Certified: Azure Fundamentals - 2021
- Business Analytics and Data Mining Championship - 2018
Data Science and Machine Learning
Cloud Services and Infrastructure
DevOps and System Administration
- My Library of Thoughts: Where I share case studies, tutorials on technology and my journey of applying my knowledge to the world around me.
Please feel free to get in touch, I'll be happy to help! Email
Feel free to explore my open source projects, fork, star, or contribute!