Apr 18, 2026
AIEngineering
From Autocomplete to Autonomous Codebase Agents
Exploring the shift from suggestion-based inline helpers to repository-scale execution agents in modern dev workflows.
DEVOPS & MLOPS ENGINEER
Hi, I'm Ranjeet.
I am aFull-Stack Engineer
DevOps & MLOps Engineer with 5+ years of experience building and operating AWS cloud infrastructure, serverless AI pipelines, and distributed backend systems. Focused on automated CI/CD/CT delivery, reproducible ML platforms (MLflow, Feast, DVC, KServe), Docker containerization, and observability.
Engineering Capabilities & Core Stack
5+ Yrs Production•AWS & MLOps Specialization
MLOps & Model Lifecycle
End-to-end machine learning engineering eliminating train-serve skew, automating data quality assertions, and managing continuous retraining pipelines.
STACK:MLflowFeast Feature StoreDVCKServeGreat ExpectationsEvidently AISageMaker AI
Key Architecture & Impact
- Feast Redis online store achieving sub-10ms point-in-time correct feature retrieval
- Evidently AI automated drift detection (PSI > 0.20) triggering Continuous Training (CT)
- DVC data & model artifact versioning backed by AWS S3 with 55 pre-training validation gates
Blogs
Recent posts on backend systems, AWS, CI/CD, and cloud engineering.
Mar 12, 2026
AIMCP
The MCP Inflection Point: Building True Agentic Infrastructure
How the Model Context Protocol (MCP) became the open standard for AI agent communications, and why it matters for cloud and reliability engineering.
Feb 26, 2026
AIEngineering
AI and the Balance of Engineering
Thinking about the line between productivity tools and the erosion of fundamental engineering intuition.
Feb 15, 2026
CareerSRE
From Full Stack Engineering to Reliability Thinking
How building product features led me toward infrastructure, observability, and operational discipline.
Jan 20, 2026
CI/CDDeployments
CI/CD Rollback Strategies
Rollback is not a backup plan in documentation. It is part of release engineering.