Mihir
Patel
Building intelligent systems at scale
9+ years designing systems that have to be right in production, from web applications and backend services to the data platforms and AI workflows built on them. I turn ambiguous business problems into running systems that measurably cut manual effort and accelerate decisions.
Engineering is
reasoning made real
I'm a software engineer with 9+ years of experience designing systems that have to be right in production, from web applications and backend services to the data platforms behind them.
I work across the path from ambiguous business problem to running system, and I choose the tools to fit the problem. Along the way, I've delivered:
- Automation: turned weeks-long manual processes into automated pipelines that finish in hours
- Data platforms: consolidated fragmented sources into a unified analytics layer with Kafka and Airflow, cutting data access latency by 35%
- AI transformation: moved high-touch review and troubleshooting into AI-assisted workflows, cutting manual effort by 40–70%
- Solution architecture: made the design calls, led cross-functional builds, and mentored engineers through to production
AI is the newest layer on that foundation. Models are only as reliable as the data and services around them, so I've been taking on AI and ML projects as a natural extension of my core work.
You can see that range in my public projects:
- Software and web: a real-time card fraud checker on AWS serverless and Redis, and a microservices system built with Python, Go, React, and PostgreSQL
- Data engineering: an offline open-banking analytics engine and a health-record ingestion pipeline with schema validation
- AI: a flight recorder for AI coding agents on AWS, and a fully local RAG pipeline that cut context 948× with 12/12 correct answers
- ML: currently deepening my MLOps practice on SageMaker, from model registry to drift detection and safe rollouts
I'm most interested in Senior, Staff, and Principal engineering and solution architecture roles in finance, capital markets, and fintech, especially where AI is becoming part of the core product. Always happy to connect, especially if you're building something interesting.
What I bring to the table
Where I've left a mark
Professional
Lead the design and delivery of data platforms, automation, and AI workflows that replace manual operational work; mentor engineers.
Decomposed a monolith into event-driven microservices and introduced retrieval-based AI features.
Built capital markets backend services and APIs, and led a database migration to the cloud.
Built full-stack dashboards and AWS data pipelines, with infrastructure as code and CI/CD.
Developed healthcare data applications and automated AWS infrastructure and CI/CD pipelines.
Built web applications and REST APIs, and near-real-time streaming data pipelines.
Education
Certifications & formal recognition
Thinking out loud on hard problems
I worked through AWS's SageMaker AI Workshop. My first model beat a do-nothing baseline by half a point. Here's what that taught me about shipping ML.
Read postAn on-call agent forces four choices: who reasons, who decides, what it sees, what survives a crash. What I picked, measured, and the AWS option for each.
Read postHow I built Chaperone in four days with Claude Code and the AWS MCP Server: CloudTrail turned into a reviewable record of what a coding agent did in AWS.
Read postLet's build, scale, or consult
Whether you need a Staff Software Engineer for contract delivery, an architecture review of your cloud and AI infrastructure, or a technical advisory partner — I read every message and reply to most.
- Corp-to-Corp (C2C) through a Canadian federal corporation, serving U.S. and Canadian clients
- Contract delivery, architecture reviews, and fractional advisory
- IRS Form W-8BEN-E available for U.S. C2C invoicing
- Open to new contracts. Best time to reach me: weekday mornings ET