// AI Developer · Staff Software Engineer

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.

mihir@fullstackfusions ~ %
$ whoamiMihir PatelLead / Staff Software Engineer $ skills --topPython · Go · TypeScript · ReactFastAPI · PostgreSQL · Kafka · AirflowAWS · Kubernetes · RAG · LangGraph $ git log --oneline -321748c7 feat(backend): microservices systemef9f279 feat(data): open-banking analytics2c53695 feat(agents): AWS agent recorder $

Engineering is
reasoning made real

9+
Years experience
2
Clouds (AWS · Azure)
40%
Manual effort reduced
∞
Coffee consumed

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

Software Engineering
Backend & APIs
Services and APIs built to stay correct under production load.
Python · Go · FastAPI · Django · REST · GraphQL · gRPC · WebSocket · OAuth2 · OIDC
Software Engineering
Web Applications
Full-stack products, from real-time dashboards to customer-facing apps.
TypeScript · React · Next.js · Tailwind CSS
Software Engineering
Databases
Schemas, caching, and access patterns matched to the workload.
PostgreSQL · MongoDB · Redis · Elasticsearch · Cassandra · SQL Server
Data & Automation
Streaming & Pipelines
Batch and real-time pipelines that downstream teams can depend on.
Kafka · Confluent · Airflow · Argo Workflows · ETL/ELT
Data & Automation
Data Platforms
Fragmented sources consolidated into one governed analytics layer.
AWS S3 · Glue · Athena · Lake Formation · Redshift · DuckDB
Data & Automation
Process Automation
Weeks-long manual work turned into pipelines that finish in hours.
Python · Bash · pytest · Lambda · Step Functions
Platform & Delivery
Cloud & Containers
Cloud-native and hybrid workloads that scale and roll out safely.
AWS · Azure · Kubernetes · OpenShift · Docker
Platform & Delivery
CI/CD & Security
Fast, low-risk releases with security checks built into the pipeline.
GitHub Actions · Jenkins · SonarQube · Snyk · Aqua Security
Platform & Delivery
Infrastructure as Code
Repeatable environments, defined in code and reviewed like software.
Terraform · Ansible · CloudFormation · Helm
AI & Architecture
AI Engineering
AI features with the retrieval, evaluation, and audit trail production needs.
RAG · LangGraph · MCP · Bedrock AgentCore · Function calling · Re-ranking
AI & Architecture
ML & MLOps
Currently deepening: taking models from experiment to monitored production.
SageMaker · Fine-tuning · MLflow · Model registry · Drift detection
AI & Architecture
Architecture & Leadership
Ambiguous business problems turned into designs teams can ship.
Solution architecture · Architecture reviews · Mentoring · Cross-functional delivery

Where I've left a mark

Professional

Aug 2024 – Present
Senior Software Developer
RBC

Lead the design and delivery of data platforms, automation, and AI workflows that replace manual operational work; mentor engineers.

Jun 2023 – May 2024
Senior Software Engineer
RBC

Decomposed a monolith into event-driven microservices and introduced retrieval-based AI features.

Jul 2022 – May 2023
Senior Python Developer
CPPIB

Built capital markets backend services and APIs, and led a database migration to the cloud.

Mar 2021 – Jul 2022
Fullstack Python Developer
CGI

Built full-stack dashboards and AWS data pipelines, with infrastructure as code and CI/CD.

Aug 2019 – Feb 2021
Python Developer
Kroger

Developed healthcare data applications and automated AWS infrastructure and CI/CD pipelines.

Jul 2015 – Aug 2017
Software Developer
Accenture

Built web applications and REST APIs, and near-real-time streaming data pipelines.

Education

Sep 2017 – Sep 2019
Sheridan College
Postgraduate Diploma
May 2011 – Jun 2015
Gujarat Technological University
B.Tech, Electronics Engineering

Certifications & formal recognition

ES
Elasticsearch Engineer
AWS
AWS Certified Solutions Architect – Associate
K8s
Certified Kubernetes Administrator (CKA)
DSE
Data Streaming Engineer – Architect – Confluent
AWS
AWS Cloud Practitioner (CLF-C02)
PY
Advanced Python Programming – Coursera
GO
Intermediate Go Language Development – Dreams of Go

Let'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.

Engagement details
  • 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

For priority C2C / B2B inquiries, email [email protected] with project scope and timeline.