Achala Dhananjaya
Software EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Software Engineer with 1+ years in backend development & AI agent workflows
Computer Engineering graduate with hands-on experience in backend development, workflow automation, API integrations, and scripting. Skilled at translating complex business processes into structured technical logic, building reliable data pipelines, and collaborating across engineering and business teams to deliver automation-driven solutions. Passionate about AI-powered systems and autonomous workflow design, with a strong foundation in enterprise application integration, REST APIs, and cross-functional delivery. Seeking to apply this background in building and deploying AI agents that drive measurable operational outcomes across enterprise environments.
University of Ruhuna
BSc Engineering (Hons) · Computer Engineering
August 1, 2020 – June 30, 2024
Spring Technologies
Software Engineering Intern
July 1, 2024 – January 1, 2025
Phnom Penh, Phnom Penh, Cambodia
Adomic (Startup)
Software Developer
January 1, 2023 – June 1, 2024
India
Workflow Automation & Rule-Based Decision Platform
June 24, 2026 – Present
Designed and built an automated administrative workflow platform for the University of Ruhuna. Implemented configurable rule-based decision logic with event-driven triggers, conditional routing, multi-level approval flows, and real-time alerting. The system eliminated manual bottlenecks in administrative processes and introduced structured auditability — directly applicable to AI agent orchestration and autonomous process execution across enterprise operations.
Enterprise Data Pipeline & Multi-Source Integration System
June 24, 2026 – Present
Built end-to-end data ingestion and transformation pipelines integrating multiple heterogeneous data sources via REST APIs. Implemented schema validation, error handling, retry mechanisms, and structured logging to ensure enterprise-grade reliability. Designed to mirror data flow management requirements seen in ERP and CRM integration scenarios — the same patterns underpinning AI agent data access in supply chain and procurement workflows.
Automated CI/CD & Deployment Orchestration Platform
June 24, 2026 – Present
Designed and implemented end-to-end CI/CD pipelines automating build, test, integration, and release workflows with environment-specific configuration and rollback support. Managed containerized workloads across development and production, applying systematic lifecycle management and environment parity practices — providing a strong operational foundation for deploying and maintaining AI agents in production enterprise environments.
Cultural Fit Analysis
The candidate's project diversity, ranging from workflow automation to data pipelines and CI/CD, shows a broad technical interest. Their experience in both an internship and a startup environment, coupled with a stated passion for AI-powered systems, aligns well with a dynamic, innovation-driven culture. However, the lack of diverse industry exposure beyond academic and initial professional roles might limit immediate cultural adaptability to highly varied enterprise environments without further exposure.
Soft Skills & Operational Fit
The candidate demonstrates strong soft skills in translating business requirements into technical logic, customer-facing communication, and cross-functional collaboration. Their experience in Agile workflows, documentation, and incident response indicates a good operational fit for a delivery-focused team.