2019
English Literature
Built a foundation in close reading, structured argument, and turning complex ideas into clear stories.
Platform engineering / financial technology
Building reliable systems where markets, data, and engineering meet.
I am Maryan Nur, a platform engineer at Bank of America with a background in English Literature and Computer Science. I like turning complex systems into something observable, dependable, and easier for teams to operate.
MSc
Computer Science
FinTech
Platform engineering
24/7
Reliability mindset
01 / Journey
A route from literature to resilient platforms.
The through-line is pattern recognition: reading systems, finding structure, and making the important parts clear.
2021
The switch into technology
Started learning Python, software fundamentals, and computer science from the ground up.
2022
MSc Computer Science
Studied algorithms, data structures, software engineering, machine learning, and systems thinking.
2023
Bank of America
Joined financial technology, working close to trading platforms, operational rigor, and enterprise systems.
Now
Platform engineering
Focused on Kubernetes, observability, automation, and resilient infrastructure for high-stakes systems.
02 / Skills
Tools for building, observing, and improving systems.
A practical stack shaped by infrastructure, automation, data, and the operational realities of financial technology.
Platform
KubernetesDockerLinuxCI/CDGit
Observability
GrafanaPrometheusMetricsTracingLogging
Engineering
PythonTypeScriptSQLBashAutomation
Cloud & data
AWSAzurePostgreSQLRedisS3
Financial tech
Market dataRiskControlsTrading systems
Learning edge
Distributed systemsRustService meshStreaming
03 / Projects
Selected work and technical explorations.
These projects reflect the systems I care about: fast feedback, operational clarity, and tools that reduce repeated effort.
Active
Trading Platform Simulator
A market simulation environment for testing strategies, order flow, position tracking, and P&L behavior.
PythonPostgreSQLDocker
Production-minded
Infrastructure Monitoring Dashboard
A monitoring view for microservices with service health, alerts, custom metrics, and operational context.
GrafanaPrometheusKubernetesPython
Research
ML Anomaly Detection
Experiments with models that surface unusual log patterns and system signals earlier in the incident cycle.
PythonScikit-learnPandas
Active
Platform Automation Tools
CLI tooling for deployments, configuration checks, and repeatable operational workflows.
PythonBashKubernetesGit
04 / Learning
The current edge of the map.
Consensus algorithms
Advanced Kubernetes operations
Rust for systems programming
Options pricing and derivatives
Service mesh architecture
Real-time data processing
05 / Writing
Notes on engineering, systems, and career change.
A portfolio should show how someone thinks, not only what tools they have touched.
Aug 2024
From Literature to Code
How studying narrative, ambiguity, and structure became surprisingly useful in software engineering.
Sep 2024
What Platform Engineering Means
A practical look at the space between developer experience, infrastructure, and operations.
Nov 2024
Observability for Trading Systems
Notes on monitoring systems where speed, reliability, and clarity all matter at once.