Milan Bins Mathew

milan@mathew:~$ whoami

About

AI Platform Engineer in Bengaluru, IN.

Portrait of Milan Bins Mathew

Milan Bins Mathew

AI Platform Engineer

Working on
Building a multi-agent RAG system for real-time financial document analysis
Reading
"Designing Data-Intensive Applications" - Martin Kleppmann
Based in
Bengaluru, IN

Software Engineer building scalable AI-native data platforms and autonomous agentic systems, with a track record of cutting cloud costs by 50%+ while driving large-scale platform automation and reliability. When I'm not shipping models, I write about data systems and AI architecture.

At MiQ I work on platform architecture for large scale data and AI workloads, from Kubernetes and Databricks infrastructure to the internal tools other engineers build on. Outside of that, I publish essays on the same problems.

Experience

April 2025 to Present

Software Engineer II

MiQ

  • Platform Architecture: Orchestrating scalable data/AI infrastructure using Kubernetes and Databricks, enabling seamless deployment of large-scale analytics workloads.
  • Efficiency & Reliability: Engineering high-availability distributed systems with a focus on cost-efficiency, leading to measurable reductions in cloud compute waste.
  • Developer Experience (DevEx): Building reusable frameworks and internal CLI tools that standardize AI workflows across the organization.

July 2023 to March 2025

Software Engineer I

MiQ

  • Modernization: Spearheaded the migration of legacy Spark workloads to cloud-native platforms, improving data reliability and system maintainability.
  • Data Governance: Engineered internal discovery systems to automate data lineage and governance, ensuring compliance across distributed datasets.
  • Automation: Streamlined deployment pipelines via CI/CD, reducing production deployment failures by 33%.

Jun 2022 to Jan 2023

Prism Intern

Samsung R&D Institute, India

  • NLT Transformer: Built Indo-English Code switched model for the Samsung AI Intelligence platform.

Capabilities

The tools I reach for most across data platforms, machine learning, and delivery.

ML & AI

PyTorch, Crew AI, Vertex AI, LangChain, OpenAI API, RLHF

Data Engineering

Apache Spark, dbt, Airflow, Kafka, Snowflake, Databricks, duckdb, Apache Pinot

MLOps & Infra

Docker, Kubernetes, MLflow, Ray, AWS SageMaker, LangGraph, Ollama

Languages

Python, SQL, TypeScript, Rust, Bash

Elsewhere