Artificial Intelligence Specialist
5+ years exp
TypeScript
JavaScript
Kotlin
Python
C++
Java
Swift
C
MATLAB
OCaml
Objective-C
Performance Optimization: 4/10
State Management & Data Flow: 4/10
Active 3 days ago
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Overview
Technical skills
Timeline
Roles
Overview
Middle frontend engineer focused on React and TypeScript with a practical strength in client-side data fetching and caching strategies. The strongest proven skill is client-state and server-state handling as implemented in src/hooks/useCustomFetch.ts and the cache invalidation utilities. There is little evidence of accessibility engineering, automated tests, SSR or measured performance optimization in public code.
Technical skills
Languages
11
TypeScript
JavaScript
Kotlin
Python
C++
Java
Swift
C
MATLAB
OCaml
Objective-C
DevOps
3
Kubernetes
Rest API
AWS
Other
19
React.js
Django
Flask
Amazon S3
Snowflake
ElasticSearch
API Gateway
AWS Lambda
GitHub
Amazon EKS
OpenSearch
Docker
Splunk
Prometheus
CI/CD
CloudFormation
minikube
Computer Vision
ETL/ELT
Timeline
Data Engineer
•
Middle
BNY
•
Full-Time
Led an end-to-end migration from legacy data sources to Snowflake using Python and Airflow. Built and orchestrated Airflow DAGs on Kubernetes to process and load large-scale datasets into Snowflake. Improved data quality and processing time, and provided ongoing support and performance optimizations for data pipelines. Collaborated with cross-functional teams to align migration work with business goals.
Python
Kubernetes
Software Engineer
•
Middle
Columbia University in the City of New York
•
Full-Time
Designed course website layouts and implemented functionality from scratch for online video course pages. Added features such as closed captions and interactive tables. Coordinated with a third-party Salesforce team to update alumni-related functions.
Software Engineer
•
Middle
Intuit Inc.
•
Full-Time
Developed and launched a cryptocurrency trading platform using Kotlin. Wrote unit tests for REST APIs to significantly increase test coverage. Built Splunk dashboards to monitor trading activity and API response times, and collaborated with the Money Onboarding team to implement W9 information collection.
Kotlin
Rest API
Software Engineer
•
Middle
Sonar Health
•
Full-Time
Built a public health tracking app to help patients monitor health conditions and exams. Improved the user interface by editing existing code and iterating on functionality. Participated in recurring technical meetings to discuss project progress and implementation approaches.
JavaScript
Middle Frontend Developer
Confidence: Medium App Engineer
Middle frontend engineer focused on React and TypeScript with a practical strength in client-side data fetching and caching strategies. The strongest proven skill is client-state and server-state handling as implemented in src/hooks/useCustomFetch.ts and the cache invalidation utilities. There is little evidence of accessibility engineering, automated tests, SSR or measured performance optimization in public code.
UI Component Architecture
2/10
How interface parts are built
Minimal bespoke component architecture is visible; styles and class naming indicate an attempted design system but there are no component implementations or composition patterns to evaluate.
Responsive & Cross-browser
3/10
Works on all screens and browsers
Basic responsive considerations via a centered main container and CSS variables are present, but there is no evidence of advanced responsive techniques, RTL support, or feature detection.
Performance Optimization
4/10
Speed of the interface
Clear, deliberate client-side caching and pagination strategies are implemented; however there is no measured performance data, bundle analysis, or advanced runtime optimizations.
Evidence
waldenwang9966/rampfrontend/src/hooks/useCustomFetch.ts: fetchWithCache, getCacheKey, clearCacheByEndpoint implementations
waldenwang9966/rampfrontend/src/hooks/usePaginatedTransactions.ts: paginated fetch and concatenation logic
waldenwang9966/rampfrontend/src/utils/fetch.ts: fakeFetch mock with controlled timeouts and logging
Accessibility & Semantics
1/10
Usable for everyone
Little to no evidence of accessibility work; templates and CSS exist but ARIA, keyboard management or a11y testing are not present.
State Management & Data Flow
4/10
Managing data in the app
Shows practical server-state discipline with a cache layer, cache invalidation by endpoint, and a wrapped request helper for loading state; race handling and optimistic updates are not visible in the provided files.
Evidence
waldenwang9966/rampfrontend/src/hooks/useCustomFetch.ts: cache usage, getCacheKey and clearCacheByEndpoint
waldenwang9966/rampfrontend/src/hooks/usePaginatedTransactions.ts: incremental pagination and invalidateData
waldenwang9966/rampfrontend/src/utils/requests.ts: defensive checks in paginated helper (page null check, bounds checking)
UX & Visual Polish
3/10
Look and feel quality
Basic UX elements for loading and error states exist (styles and classes), and mock logging supports developer experience; there are no skeleton components, undo patterns, or perceptual performance tactics shown.
Expertise
React• Middle
HTML & CSS• Junior
Technologies
TypeScript• since 2022 • Middle
React.js
Recommendations
- Develop data-driven React single-page features that need client-side caching and pagination (dashboards, admin panels).
- Implement and maintain application-level hooks and utilities around API calls and cache invalidation.
- Work on small-to-medium frontends where building custom hooks, mocking APIs and integrating with design tokens are primary responsibilities.
Repositories
The developer's experience in this domain has been verified based on AI analysis of the following repositories:
Junior Backend Developer
Confidence: Medium Generalist
A Junior Python developer practicing fundamental programming exercises and classroom challenges. The strongest proven skill is basic Python scripting and data-structure manipulation as shown in week_4/importing/import_lesson.py and multiple library_challenge solution files. There is no evidence of backend API development, databases, scalability work or production-grade engineering practices in the public human-authored code.
API Design
How well APIs are designed
Not evidenced in public code
Data Layer & Database
Working with databases
Not evidenced in public code
Scalability & Performance
Handling load and speed
Not evidenced in public code
System Architecture
Overall system structure
Not evidenced in public code
Security & Auth
Protecting data and access
Not evidenced in public code
Reliability & Observability
Stability and monitoring
Not evidenced in public code
Verified artifacts
Expertise
Python• Junior
Technologies
Java
Kotlin• since 2022 • Middle
OCaml
Rest API• since 2022
Flask
Django
Recommendations
- Work on small end-to-end projects that include a simple REST API, for example a Flask or FastAPI service that persists to a database and includes basic tests.
- Add a database-backed feature with migrations (Alembic/SQLAlchemy or Django models) to learn schema evolution, transactions and queries.
- Introduce basic reliability and observability: add structured logging, simple unit tests, and a CI workflow to validate changes automatically.
Repositories
The developer's experience in this domain has been verified based on AI analysis of the following repositories:
Intern DevOps Engineer
Confidence: Low Generalist
A junior Python web developer focusing on small Django applications and learning web fundamentals. The strongest proven skill is server-side web development with class-based views and form handling, demonstrated by implemented view classes and a custom form. There is no public evidence of CI/CD, infrastructure as code, container orchestration, observability, or production-grade reliability engineering.
CI/CD Pipelines
Automated build and deploy
Not evidenced in public code
Infrastructure as Code
Managing servers with code
Not evidenced in public code
Containerization & Orchestration
Working with containers
Not evidenced in public code
Observability & Monitoring
Watching system health
Not evidenced in public code
Reliability & Incident Response
Keeping systems up
Not evidenced in public code
Cloud & Cost Optimization
Smart use of the cloud
Not evidenced in public code
Recommendations
- Develop small to medium Django CRUD applications and internal admin dashboards to consolidate web fundamentals.
- Add unit and integration tests and create a simple CI pipeline to automate testing and basic deployments.
- Create a Docker multi-stage build and a minimal deployment manifest to learn containerization and deployment practices.
- Introduce basic logging and metrics instrumentation and a simple alert rule to gain observability experience.
Repositories
The developer's experience in this domain has been verified based on AI analysis of the following repositories:
