MLOps
Production-Grade MLOps: From Jupyter to Kubernetes
A comprehensive guide to deploying ML models at scale using containerization, orchestration, and CI/CD pipelines.
Read More"Containerization isn't just deployment—it's a contract between dev and ops for predictable behavior at scale."
"RAG systems fail when retrieval accuracy < 85%. Always benchmark your embeddings before production."
"Explainability isn't optional—SHAP values turn black boxes into trusted production systems."
Specialized in High-Throughput & Production-Scale AI Deployments across AWS Azure OCI
Production-grade expertise across the AI systems lifecycle
Production-grade AI systems deployed at scale
Matter-level namespace isolation with SHA-256 deduplication. Handles 1GB+ streaming ingestion with deterministic query routing and zero-downtime deployment.
XGBoost on imbalanced transaction data with SHAP explanations. Flask API serving predictions with per-transaction feature attribution and Power BI monitoring.
LangGraph-orchestrated multi-agent system (Insight, Risk, Fraud) for financial decision support. FastAPI backend with Streamlit interface processing transactional data.
Complete analytics pipeline from ingestion to forecasting. Prophet-based demand prediction with Power BI dashboards and Azure-based orchestration.
Group travel platform with voting, itinerary planning, expense tracking, and AI activity suggestions. Stripe payments and JWT authentication.
Industry-recognized credentials validating production-scale expertise
Databricks
Databricks
Astronomer
Astronomer
Oracle Cloud Infrastructure
Oracle Cloud Infrastructure
Oracle Cloud Infrastructure
Oracle Cloud Infrastructure
Oracle Cloud Infrastructure
Calyptus
HackerRank
Professional Certifications
Active Credentials
2025 Certifications
In-depth explorations of MLOps, GenAI, and Cloud-Native architectures
A comprehensive guide to deploying ML models at scale using containerization, orchestration, and CI/CD pipelines.
Read MoreDeep dive into advanced RAG architectures with hybrid search, reranking, and vector database optimization.
Read MoreArchitecting resilient AI systems across AWS, Azure, and OCI with Terraform and cloud-agnostic patterns.
Read MoreImplementing model interpretability frameworks for regulatory compliance and stakeholder trust.
Read MoreJourney through expertise milestones and achievements
Achieved OCI 2025 Certified GenAI Professional credential, mastering LLM deployment, RAG systems, and Vector DB optimization.
Completed DAG Authoring for Apache Airflow 3 and Fundamentals certifications, orchestrating production ETL pipelines.
Earned Academy Accreditation in AI Agent Fundamentals and Generative AI, building agentic AI workflows.
Solved 1700+ algorithmic problems, achieving elite competitive programming status with optimized DSA solutions.
Architected and deployed fraud detection, computer vision, and recommendation systems at production scale.
Continuous contributions and open-source engagement
Commits This Year
Pull Requests
Total Stars
Repositories
Real-time insights and visitor metrics
Load Time
0.8s
First Paint
0.3s
Lighthouse Score
98/100
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