Pasan Chamikara
Platform Engineer
6+ years exp
JavaScript
PHP
Active 8 days ago
+94 (70) 7123457 Invite to interview
Message
Download CVCV
Overview
Technical skills
Timeline
Roles
Overview
Junior backend API developer focused on small Flask HTTP services and integration testing. The strongest proven skill is implementing simple REST endpoints and file I/O for a volume-mount tester as shown in flaskvolmounttester/app.py (write_to_file and efs_route). There is no public evidence of database design, production-grade resilience, observability, automated tests, or secure authentication and authorization.
Technical skills
JavaScript• 6y+
PHP
Frontend
React.js
Material UI
DevOps
Rest API
Timeline
Freelance (Digital Forensics, Security Integrations, DevOps)
•
Middle
Freelancer
•
Freelance
Delivered work across digital forensics, security integrations, and DevOps/Open-source platform development via freelance marketplace engagements. Implemented security-related integrations and supporting technical tasks for clients. Supported ongoing development and integration work over multiple assignments.
Founder / Implementation Engineer
•
Executive
Meow Labs (Pvt) Ltd
•
Cofounder
Led development and deployment practices for client platforms, including security practice implementations. Architected and guided platform and security integrations as the main technical owner. Drove open-source integrations to support customer requirements.
Senior Software Support Engineer
•
Senior
Intuition Machines
•
Full-Time
Supported clients integrating and customizing hCaptcha for their applications. Troubleshot implementation issues and helped guide configuration adjustments to achieve expected verification behavior. Focused on operational problem resolution and customer-facing technical support.
Platform Engineer, Application Support Engineer – L3
•
Middle
Engine Yard
•
Full-Time
Provided platform engineering and L3 application support, progressing from L1 support to platform ownership. Served as SME for a volumes-related platform feature and implemented feature work and bug fixes for the K8s-based platform. Built and maintained infrastructure and monitoring using Terraform/Chef, Helm, Grafana, and log/monitoring tooling.
Kubernetes
Helm
Grafana
Terraform
Chef
Senior External Consultant - DevSecOps
•
Senior
Scybers
•
Contractor
Worked on security integrations for open-source tools within CI/CD and security pipeline contexts. Assisted in configuring security controls to fit existing pipeline workflows. Contributed DevSecOps support aimed at improving automated security checks.
Software Engineer
•
Middle
Vevro
•
Full-Time
Built chatbot capabilities and contributed to DevOps pipeline improvements. Supported application development work with a focus on delivery and operational readiness. Assisted in development iterations during the employment period.
Intern – Information Security
•
Junior
Sri Lanka CERT | CC
•
Internship
Participated in vulnerability assessment and penetration testing activities and supported incident handling tasks. Contributed to internal tooling used for incident processes. Worked on information security responsibilities under supervision during the internship.
Intern AI/ML Engineer
Confidence: Low Generalist
A systems and security engineer at intern level who expresses interest in platform engineering and applied ML systems. The strongest proven skill is authoring clear project documentation as shown by README.md files that describe MLOps and AI work. There is no human-authored source code, training loops, or deployment artifacts in the analyzed files, so engineering competencies in model building, data pipelines, evaluation, and production serving are not evidenced.
Model Architecture & Training
How well models are designed and trained
Not evidenced in public code
Data Pipeline & Feature Engineering
How data is prepared for models
Not evidenced in public code
Experimentation & Evaluation
How results are measured and tested
Not evidenced in public code
MLOps & Deployment
How models are shipped to production
Not evidenced in public code
Computational Efficiency
How efficiently computing resources are used
Not evidenced in public code
Research Depth & Innovation
Depth of research and new ideas
Not evidenced in public code
Verified artifacts
Recommendations
- Develop a small end-to-end MLOps prototype including data preprocessing, a simple training loop, evaluation script, and saved model artifacts.
- Create a production-ready inference demo with a Dockerfile and a minimal REST API for serving predictions plus tests.
- Contribute focused infra or security automation scripts (CI/CD, linting, deployment manifests) to demonstrate systems engineering ownership.
- Add reproducible experiment tracking (W&B or MLflow) and a documented evaluation notebook with held-out metrics.
Repositories
The developer's experience in this domain has been verified based on AI analysis of the following repositories:
Intern Backend Developer
Confidence: Low API Engineer
Junior backend API developer focused on small Flask HTTP services and integration testing. The strongest proven skill is implementing simple REST endpoints and file I/O for a volume-mount tester as shown in flaskvolmounttester/app.py (write_to_file and efs_route). There is no public evidence of database design, production-grade resilience, observability, automated tests, or secure authentication and authorization.
API Design
2/10
How well APIs are designed
Minimal API design: single-file Flask app with basic routes; no versioning, idempotency, or consistent error contract.
Evidence
flaskvolmounttester/app.py: root_route, liveness_route, write_to_file, efs_route
Data Layer & Database
1/10
Working with databases
Almost no data-layer design; only simple file I/O to a mounted path, no database, migrations, transactions or tuned queries.
Evidence
flaskvolmounttester/app.py: write_to_file opens '/efs/my.txt' and efs_route reads '/efs/my.txt'
Scalability & Performance
1/10
Handling load and speed
No demonstrated scalability or performance work; no caching, queuing or connection pooling artifacts.
Evidence
flaskvolmounttester/app.py: single-process Flask routes with no caching or async/queue integration
System Architecture
1/10
Overall system structure
No system decomposition or config/secret management; single small service script without modular architecture.
Evidence
flaskvolmounttester/app.py: single-module Flask app implementing all endpoints in one file
Security & Auth
1/10
Protecting data and access
Minimal security posture: no auth, no input validation, and an information-leaking error return path.
Evidence
flaskvolmounttester/app.py: generic except Exception as e returns the exception object in the HTTP response
flaskvolmounttester/app.py: endpoints accept no auth or validation and write to a fixed path (/efs/my.txt)
Reliability & Observability
1/10
Stability and monitoring
Little reliability or observability: generic try/except, no logging, no timeouts, no structured errors or correlation ids.
Evidence
flaskvolmounttester/app.py: single try/except in write_to_file returning exception; no logging or retry/backoff
Expertise
Microservices & API Architecture• Intern
Technologies
PHP
Rest API
Recommendations
- Use the developer to implement small internal REST APIs and quick integration prototypes (volume/DFS tests, health checks).
- Assign work that focuses on API surface, basic endpoint contracts and simple operational tooling (internal admin endpoints, health/liveness, simple file upload/download tests).
- Have them improve error handling, add structured logging, input validation, and basic auth for endpoints before assigning production-facing services.
Repositories
The developer's experience in this domain has been verified based on AI analysis of the following repositories:
Intern Frontend Developer
Confidence: Medium UI Engineer
Frontend engineer working with basic React single-page setups at an intern level whose main strength is assembling and running Create React App projects. The strongest proven skill is building a minimal React app structure and wiring performance measurement as shown by src/App.js and src/reportWebVitals.js. There is little to no public evidence of advanced state management, accessibility engineering, testing, or nontrivial frontend architecture decisions.
UI Component Architecture
1/10
How interface parts are built
Minimal component architecture: a single App component from Create React App with no composition, custom hooks, or a component library authored by the developer.
Responsive & Cross-browser
2/10
Works on all screens and browsers
Basic responsive choices are present such as vmin units and a prefers-reduced-motion media query, but no deliberate cross-browser or RTL/i18n strategy is implemented.
Performance Optimization
2/10
Speed of the interface
Shows awareness of performance measurement by conditionally importing web-vitals in reportWebVitals, but no measured optimizations, bundle analysis, or code-splitting strategy authored.
Accessibility & Semantics
1/10
Usable for everyone
Very limited accessibility signals - an img alt attribute and reduced-motion media query exist but there is no evidence of ARIA on custom widgets, focus management, keyboard handling, or a11y testing.
State Management & Data Flow
1/10
Managing data in the app
No server-state or complex client-state patterns present; the app is static with no async request handling, cancellation, optimistic updates, or state machines.
UX & Visual Polish
1/10
Look and feel quality
Visual polish is limited to the default CRA animated logo and basic styling; there are no skeletons, explicit loading/error/empty states, transitions, or undo patterns authored.
Expertise
React• Intern
Technologies
JavaScript• 6y+
React.js
Material UI
Recommendations
- Maintain and iterate on small marketing or portfolio sites built with Create React App and Material UI.
- Implement and test UI component work for small SPAs and help convert static pages into simple React components.
- Add instrumentation and lightweight performance telemetry integration using web-vitals for small projects.
- Work on frontend bug fixes, visual polish, and basic responsive adjustments where complex state or backend integration is not required.
Repositories
The developer's experience in this domain has been verified based on AI analysis of the following repositories: