Charitha Jeewanka

Software Engineer

Sri Lanka2 yrs 5 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Designed and deployed AI-powered systems for complex engineering problems.
Led development of a production-grade RAG-based Knowledge Assistant.
Achieved measurable productivity gains through innovative AI solutions.

Stackforce AI infers this person is a SaaS-focused AI Engineer with expertise in LLMs and cloud infrastructure.

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Skills

Core Skills

Agentic Ai SystemsLlm OrchestrationWeb DevelopmentRag-based Knowledge AssistantGenerative Ai SolutionsDevops PracticesData Engineering

Other Skills

JavaScriptSQLContainerizationSolution ArchitectureAmazon Web Services (AWS)Software Development Life Cycle (SDLC)Cloud InfrastructureBashReinforcement LearningAgentic WorkflowsCloud ComputingMathematicsAirflowH2O AutoMLApache Kafka

About

I design and build AI-powered systems that combine LLMs, data engineering, and cloud infrastructure to solve complex engineering problems. At Synopsys, I work on Agentic AI and RAG-based systems that enhance developer productivity and design verification workflows. My experience includes architecting multi-agent pipelines, retrieval systems, and LLM-driven assistants deployed in enterprise environments, with measurable improvements in accuracy and efficiency. I’ve led the development of a knowledge assistant platform and contributed to AI system evaluation and security testing, including prompt injection and adversarial analysis for production-grade applications. My work sits at the intersection of AI engineering, MLOps, and scalable backend systems, with hands-on experience in Kubernetes, cloud platforms, and distributed data pipelines. I’m particularly interested in: - Agentic AI systems and LLM orchestration - Retrieval-augmented generation (RAG) and evaluation - Scalable ML and data platforms Currently pursuing an MSc in Big Data Analytics, I’m focused on advancing toward AI/ML engineering roles where I can design and scale intelligent systems with real-world impact.

Experience

2 yrs 5 mos

Total Experience

1 yr 2 mos

Average Tenure

1 yr 9 mos

Current Experience

Synopsys inc

2 roles

Software Engineer

Oct 2025 – Present · 8 mos · Hybrid

Engineered a fully dynamic UI customization framework for EMAN/VMS using YAML-driven layouts and JavaScript extension modules, enabling near plug-and-play UI personalization.
Architected and deployed an Agentic RAG framework enabling autonomous tool invocation and context-aware reasoning for complex engineering workflows
Designed end-to-end LLM pipelines including retrieval, context ranking, prompt orchestration, and response generation, with continuous evaluation and monitoring
Achieved 7.2% improvement in answer precision compared to baseline systems through optimized retrieval and reasoning strategies
Extended core EMAN/VMS backend APIs to support custom planner values, metadata expansion, and external system integrations (JIRA, Redmine), increasing workflow automation across verification teams.
Modernized backend–frontend coupling patterns, reducing UI modification turnaround by ~60% and significantly improving maintainability and customer autonomy.

JavaScriptSQLAgentic AI systemsLLM orchestration

Application Engineer

Sep 2024 – Oct 2025 · 1 yr 1 mo · Hybrid

Led the design and development of a production-grade RAG-based Knowledge Assistant for the VMS platform, covering document retrieval, context ranking, LLM orchestration, and tooling queries over NL input.
Evolved the system into an Agentic RAG architecture, enabling autonomous tool invocation, SQL reasoning, cross-document synthesis, and context-aware workflows with continuous monitoring via Comet.
Delivered a Generative-AI solution for SystemVerilog → VHDL translation, leveraging LangChain, custom prompt engineering, and retrieval-augmented synthesis; achieved ~80% accurate conversions and reduced legacy HDL migration cycles by multiple days.
Built an ML pipeline that identifies latent relationships between undocumented warnings and errors across Synopsys tools—significantly improving debugging speed for Customer Success and DV teams.
Received formal recognition from Intel DV teams for delivering measurable productivity gains and successfully driving the first phase of the VMS Knowledge Assistant initiative.
Operationalized solutions using Docker, Kubernetes, LLM ops tooling (Comet, LangChain, LlamaIndex), and cloud platforms (AWS/GCP) to ensure reliability and enterprise-ready deployment patterns.

ContainerizationSolution ArchitectureRAG-based Knowledge AssistantGenerative AI solutions

Dialog axiata plc

2 roles

DevOps Engineer

Jan 2024 – Sep 2024 · 8 mos · Colombo, Western Province, Sri Lanka · On-site

At Dialog Axiata, I gained extensive experience in various DevOps and data engineering tasks:
Developed an NLP solution for log analysis of CI/CD pipelines to enhance issue detection and troubleshooting.
Optimized performance, scalability, and resource utilization for Kubernetes clusters, ensuring efficient operation of critical applications.
Managed AWS cloud environments for EKS, including provisioning, monitoring, and optimizing resources to meet performance and scalability requirements.
Implemented and maintained internal Docker environments to streamline development, testing, and deployment processes.
Demonstrated expertise in Jenkins and managed GitLab environments for continuous integration and delivery.
Utilized the ELK stack for log management and analysis, creating data visualization dashboards to support operational insights.
Handled ETL tasks for Call Detail Records (CDRs) using Apache AirFlow.
Employed PowerBI for business and ROI analysis, driving informed decision-making.
Used AWS API and SDK for infrastructure provisioning and designing.
Managed the JIRA ticketing system to effectively track and resolve project tasks.
These responsibilities provided me with a solid foundation in modern DevOps practices, cloud technologies, and data management, preparing me to tackle complex challenges and contribute to innovative solutions in the tech industry.

Amazon Web Services (AWS)Software Development Life Cycle (SDLC)DevOps practicesData engineering

Cloud Engineer

Oct 2023 – Jan 2024 · 3 mos · Colombo, Western Province, Sri Lanka · On-site

ContainerizationCloud Infrastructure

Millenniumit esp

Engineering Trainee

Mar 2022 – Jul 2022 · 4 mos · Colombo, Western Province, Sri Lanka

During my internship at Millennium IT ESP, I gained hands-on experience in virtualization, enterprise backup solutions, and RedHat Enterprise Linux. This opportunity allowed me to work on several key projects that significantly contributed to my professional development.
I served as a Site Engineer for the Huawei Cloud 2 project at Dialog Axiata, where I was responsible for implementing and managing cloud infrastructure solutions. Additionally, I played a crucial role in the Backup Infrastructure Revamp Implementation at Sri Lanka Telecom (SLT), ensuring robust and reliable backup systems were in place. I also contributed to the Dialog Disaster Recovery Site NetBackup Implementation, enhancing disaster recovery capabilities for critical systems.
These experiences allowed me to develop a deep understanding of advanced IT solutions and project management, preparing me to tackle complex technical challenges in my future career. My internship at Millennium IT ESP was instrumental in solidifying my technical skills and reinforcing my passion for continuous learning and innovation in the field of information technology.

ContainerizationBash