CueCard Labs

Machine Learning Engineer

NSBM Green University

Visiting Lecturer

OREL IT

University of Kelaniya Sri Lanka

Research Assistant

Stax Colombo

Associate - Data Science and Engineering

Data Science and Engineering Team - Intern 

AIESEC Sri Lanka

Team Leader | IGT AIESEC Colombo North

Arimac

Student Ambassador

Software Engineer and AI practitioner

As a dynamic and results-driven Machine Learning Engineer, I am passionate about harnessing the power of data and cutting-edge algorithms to drive innovation. With expertise at the intersection of data analytics, software engineering, and artificial intelligence, I craft solutions that transform raw data into actionable insights.

My key strengths lie in developing and optimizing machine learning models, implementing MLOps best practices, conducting AI/DL/ML research, and deploying models in production environments while ensuring scalability, reliability, and continuous performance monitoring. I thrive in cross-functional collaborations, effectively translating business requirements into technical solutions by working closely with data scientists, engineers, and delivery teams.

Throughout my professional experience at OREL Labs, Stax Colombo, and as a research student at the University of Kelaniya, I have successfully delivered impactful projects. These include an LLM-powered conversational agent, a high-accuracy person re-identification system, an automated web scraping and topic modeling system for customer review analysis, and an automated HR performance analysis pipeline leveraging Azure cloud services.

Holding certifications in Azure AI Engineering, Google Cloud, SQL, and Python problem-solving, I am well-equipped to tackle complex challenges. I am driven by a passion for continuous learning and keeping abreast of the latest advancements in the field of AI/ML.

You can check out my portfolio projects here - https://shamalgithub.github.io/custom/

REST  + Agentic decision making is all you need !!! 


MCP might not be the best solution for large scale applications that have well defined endpoints. 

Check out how we sidestepped the hype and built something much more intuitive for developers to use (without having to learn a whole new paradigm )

Shamal De Silva

Machine learning engineer || Azure certified AI Engineer 🤖 || Building production grade Knowledge Graphs 🧠

AWS Certified Solutions Architect Associate | Full Stack Developer at CueCard and CueGrowth | Software Engineering | Content Creator

When I first started thinking about dashboards back in university 🎓, one question kept bugging me:
Why are we still rebuilding entire dashboards just to answer one custom question?
If a user wants to compare two customers’ buying patterns or visualize a very specific slice of their business, why should they need a whole new view? 📊

That thinking eventually became Lingo-Link 🧠🔗 an agentic API orchestration platform that lets you describe what you need in natural language and get custom analytics, visualizations, and insights with no code changes and almost zero configuration.
Think MCP for the backend, but easier, faster, and built for real business logic ⚙️.

While building the reasoning pipeline, I experimented with replacing raw JSON with TOON. The result was a 32% reduction in tokens 📉 with no loss in reasoning quality on Gemini 2.5 Flash.
Less tokens, lower latency, lower cost, without compromising intelligence 🤖.

This is exactly why Lingo-Link exists:
to eliminate dashboard rebuilds, remove repetitive integrations, and let teams generate the exact insights they need on demand 🚀.

And to be clear, this isn’t just about building dashboards. Lingo-Link goes way beyond visualization. You can orchestrate entire API workflows, combine data from multiple systems, and deliver it in whatever format your client applications need. No extra integration code. No rewriting endpoints. No rebuilding logic on the client side.

It’s a universal layer that handles the heavy lifting so teams can plug in, request exactly what they need, and get structured, ready-to-use results instantly.

And shoutout to Karthik Ravi  🙌, who leads CueGrowth and helped shape how we integrate this into our stack in a way that adds real customer value while reducing the cost burden. The direction has been spot on.

More upgrades coming , this is only the beginning 🔥.

Full insight here : https://lnkd.in/g7WT5UTd

#AI #LLM #Gemini #JSON #TOON #MultiAgentSystems #TokenOptimization #MLOps #CostEfficiency #AIEngineering #SoftwareEngineering #DataEngineering #AIDevelopment #MachineLearning #AIPipelines #LLMOptimization #GoogleAI #ArtificialIntelligence

taplio

Shamal De Silva's Linkedin Analytics

Shamal De Silva

Performance ScoreShamal De Silva's LinkedIn Performance

Shamal De Silva's Best Posts (last 30 days)

Ready to grow your LinkedIn presence?

taplio

.css-6ytdur{background-image:linear-gradient(284deg, rgba(39, 43, 72, 1) 0%, rgba(33, 47, 183, 1) 100%);color:transparent;-webkit-background-clip:text;background-clip:text;}Shamal De Silva's Linkedin Analytics

Shamal De Silva

Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}Shamal De Silva's LinkedIn Performance

Shamal De Silva's Best Posts .css-1emoo84{font-size:var(--chakra-fontSizes-md);font-weight:400;color:var(--chakra-colors-gray-600);}(last 30 days)

Ready to grow your LinkedIn presence?

Shamal De Silva's Linkedin Analytics

Performance ScoreShamal De Silva's LinkedIn Performance

Shamal De Silva's Best Posts (last 30 days)