Hello, I’m Malith Ranaweera, an AI/ML Engineer and Data Scientist with Azure certifications and a PhD in AI Engineering. I bring 9+ years of experience across AI, data science, deep learning, Gen-AI, research, project leadership, software engineering, customer support, and startups. I excel at translating complex technical concepts for non-technical audiences and aligning engineering work with business goals to deliver measurable impact. I enjoy building production-grade AI solutions, leading cross-functional teams, and turning ambitious ideas into reliable, scalable systems. I thrive in fast-paced environments, delivering automated data pipelines, GenAI-enabled workflows, and data-driven insights that improve operational efficiency and decision making.

Malith Ranaweera

Hello, I’m Malith Ranaweera, an AI/ML Engineer and Data Scientist with Azure certifications and a PhD in AI Engineering. I bring 9+ years of experience across AI, data science, deep learning, Gen-AI, research, project leadership, software engineering, customer support, and startups. I excel at translating complex technical concepts for non-technical audiences and aligning engineering work with business goals to deliver measurable impact. I enjoy building production-grade AI solutions, leading cross-functional teams, and turning ambitious ideas into reliable, scalable systems. I thrive in fast-paced environments, delivering automated data pipelines, GenAI-enabled workflows, and data-driven insights that improve operational efficiency and decision making.

Available to hire

Hello, I’m Malith Ranaweera, an AI/ML Engineer and Data Scientist with Azure certifications and a PhD in AI Engineering. I bring 9+ years of experience across AI, data science, deep learning, Gen-AI, research, project leadership, software engineering, customer support, and startups. I excel at translating complex technical concepts for non-technical audiences and aligning engineering work with business goals to deliver measurable impact.

I enjoy building production-grade AI solutions, leading cross-functional teams, and turning ambitious ideas into reliable, scalable systems. I thrive in fast-paced environments, delivering automated data pipelines, GenAI-enabled workflows, and data-driven insights that improve operational efficiency and decision making.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
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Language

English
Fluent

Work Experience

Lead AI & Data Solutions Engineer at Semi Government Utility/Energy Client
June 1, 2025 - October 4, 2025
Led the production deployment of a large-scale AI and data automation solution, designing fully automated workflows for data ingestion, transformation, and analytics using SQL, Spark, Python, Airflow, and Azure DevOps. Reduced processing time by ~50% across pipelines handling millions of records per job. Collaborated across multidisciplinary teams and external vendors to scope, resource, and deliver data-driven insights for public and government-facing reporting systems. Built relationships across the organisation, discovered opportunities to establish value propositions, introduced and implemented AI-assisted workflows to enhance operational efficiency and data quality delivering 4 GenAI-enabled use cases in 4 months.
Senior AI/ML Engineer at Bluejay-AI
June 1, 2024 - October 4, 2025
Led and developed a conversational AI assistant application and an alert generation method catered for finance from ideation to production leveraging AI Agents, LLMs, LangChain, Azure Container Apps, Cosmos DB, RAG, FastAPI and CI/CD. Refactored and enhanced a legacy NLP Fin-tech ML clustering model for financial risks, developed evaluation methods, and enhanced clustering quality by 32%. Represented the AI function during onboarding engagements with Big 4 clients, translating business needs into agent workflows and guiding solution design during the first 7 weeks of engagement.
Prototype Lead (Deep Learning) at UNSW
June 1, 2023 - October 4, 2025
Developed a suite of deep learning and statistical models including feature engineering, model training, evaluating and finetuning in collaboration with the Defence Science and Technology Group (DSTG) for Encrypted Traffic Analysis to secure IoT devices against privacy threats from 15+ manufacturers including Apple, Google and Amazon. Communicated project outcomes using visualisations to a diverse set of stakeholders, including industry partners, and academics to help them better understand the results of the project and make informed decisions. Supervised and mentored 2 junior team members and closely worked with them during the processes of data collection, data wrangling and labelling, model development and publishing.
Software/DevOps Engineer at SICE ANZ
December 1, 2022 - October 4, 2025
Designed and implemented software tools to ensure integrity of the SQL databases of Sydney WestConnex ITS project, which involved managing 3000+ devices such as traffic cameras, fire alarms, and variable speed signs. Solely managed cross-functional weekly software builds, deployments and DevOps of the entire project that included deployments in 3 development servers, 3 test servers, and 6+ client workstations utilising CI/CD tools such as Jenkins, Ansible and Git. Conducted robot regression tests and functional tests for 11+ functional packages, such as fire detection, ventilation, and reporting, ensuring the quality of customer deliverables for each build.
Algorithm Developer/Researcher - PhD at UNSW
December 1, 2021 - October 4, 2025
Implemented a statistical analysis and developed machine learning algorithms to identify traffic movement patterns in Sydney using Wi-Fi hotspot (160+) data to enhance TfNSW's ability to optimise transportation strategies. Developed algorithms and data-driven models using traffic physics to detect anomalous data that reported above 94% accuracy in high density Sydney M4 vehicular network. Led and core developer for prototype development of a deep learning-based traffic monitoring system deployed and tested over 2500+ vehicles at 2 different locations in Sydney. Led and developed an in-app secure payment enabled Mobility as a Service mobile app with 5 team members from 2 different countries. Configured open source (SUMO from German Aerospace Engineering) and commercial traffic micro-simulators (VISSIM and Aimsun), network simulators (Omnet++), and data analytics tools. Demonstrated and tutored over 4 different transport data analytics courses.
Software Engineer at IFS RnD International
July 1, 2017 - October 4, 2025
Developed core Project Management functionality of IFS ERP software solution used by 2000+ customers in over 60 countries. A key player in the product support team involved in bug corrections, task investigations, working alongside with customers, and providing functional feedback to run their operations smoothly.
Trainee Software Engineer at SimCentric Technologies
October 1, 2014 - October 4, 2025
Developed a real-time multi-monitor desktop capturing and remote streaming tool across 6+ development teams using C# socket programming and WPF as a training tool for the US military. Involved in video and audio encoding using C++ and software libraries including OpenCV, live55 and ffmpeg.
Lead AI & Data Solutions Engineer at Semi Government Utility/Energy Client
June 1, 2025 - October 4, 2025
Led the production deployment of a large-scale AI and data automation solution, designing automated workflows for data ingestion, transformation, and analytics using SQL, Spark, Python, Airflow, and Azure DevOps. Reduced processing time by ~50% across pipelines handling millions of records. Built AI-assisted workflows, delivering 4 GenAI-enabled use cases in 4 months; conducted market segment analysis; advised on AI platform adoption.
Senior AI/ML Engineer at Bluejay-AI
June 30, 2024 - October 4, 2025
Led development of a conversational AI assistant and alert generation for finance; leveraged AI Agents, LLMs, LangChain, Azure Container Apps, CosmosDB, RAG, FastAPI; refactored legacy FinTech ML clustering model improving clustering quality by 32%; represented AI function during onboarding with Big 4 clients; guided solution design in early engagements.
Prototype Lead (deep learning) at UNSW
June 30, 2023 - October 4, 2025
Developed suite of deep learning and statistical models for Encrypted Traffic Analysis with DSTG; communicated results via visualisations to industry partners and academics; supervised 2 junior team members; led data collection, wrangling and labeling; contributed to publishing.
Software/DevOps Engineer at SICE ANZ
December 31, 2022 - October 4, 2025
Designed and implemented software tools to ensure integrity of the SQL databases for Sydney WestConnex ITS project; managed cross-functional weekly software builds, deployments and DevOps across multiple servers; conducted robot regression tests for 11+ packages; ensured quality of deliverables.
Algorithm Developer / Researcher - PhD at UNSW
December 31, 2021 - October 4, 2025
Led development of ML algorithms to identify traffic movement patterns from Wi‑Fi hotspot data; achieved above 94% accuracy; led prototype DL traffic monitoring deployed across 2500+ vehicles; configured SUMO, VISSIM, Omnet++, etc.; tutored transport analytics courses.
Software Engineer at IFS RnD International
July 31, 2017 - October 4, 2025
Developed core Project Management functionality of IFS ERP used by 2000+ customers; contributed to bug fixes and customer support; collaborated with stakeholders to ensure smooth operations.
Trainee Software Engineer at SimCentric Technologies
October 31, 2014 - October 4, 2025
Developed real-time desktop capture and remote streaming tool for US military; involved in video and audio processing and software libraries.
Lead AI & Data Solutions Engineer at Semi Government Utility / Energy Client
June 1, 2025 - October 4, 2025
Led production deployment of a large-scale AI and data automation solution, designing automated workflows for data ingestion, transformation, and analytics using SQL, Spark, Python, Airflow, and Azure DevOps. Reduced processing time by ~50% across pipelines handling millions of records per job. Collaborated with multidisciplinary teams and external vendors to deliver data-driven insights for public and government-facing reporting systems. Built relationships across the organization, introducing AI-assisted workflows to enhance operational efficiency and data quality, delivering 4 GenAI-enabled use cases in 4 months. Conducted market segment analysis across 70k+ customers, clustering segments to identify heterogeneity and root causes for better customer engagement. Served as strategic technical lead evaluating AI/cloud platforms and driving platform adoption.
Senior AI/ML Engineer at Bluejay - AI
June 1, 2024 - October 4, 2025
Led and developed a conversational AI assistant application and alert generation for finance from ideation to production using AI Agents, LLMs, LangChain, Azure Container Apps, CosmosDB, RAG, FastAPI and CI/CD. Refactored and enhanced a legacy NLP Fin-tech ML clustering model for financial risks, improving clustering quality by 32%. Represented the AI function during onboarding engagements with Big 4 clients, translating business needs into agent workflows and guiding solution design during the first 7 weeks of engagement.
Prototype Lead (Deep Learning) at UNSW
June 1, 2023 - October 4, 2025
Developed a suite of deep learning and statistical models including feature engineering, model training, evaluation and fine-tuning in collaboration with the Defence Science and Technology Group (DSTG) for Encrypted Traffic Analysis to secure IoT devices from 15+ manufacturers. Communicated project outcomes with visualisations to diverse stakeholders and mentored 2 junior team members. Led data collection, wrangling and labelling, model development and publishing. Configured open-source and commercial traffic simulators and analytics tools; contributed to the in-app secure mobility-as-a-service prototype with a multinational team.
Software / DevOps Engineer at SICE ANZ
December 1, 2022 - October 4, 2025
Designed and implemented software tools to ensure SQL database integrity for the Sydney WestConnex ITS project (3000+ devices). Managed cross-functional weekly builds and DevOps across multiple servers using Jenkins, Ansible and Git. Conducted robot regression tests and functional tests for 11+ packages, ensuring high-quality customer deliverables.
Algorithm Developer/Researcher - PhD at UNSW
December 1, 2021 - October 4, 2025
Implemented statistical analysis and ML algorithms to identify traffic movement patterns in Sydney using Wi-Fi hotspot data (160+ sources). Developed anomaly-detection models with 94% accuracy in high-density traffic networks. Led a deep learning-based traffic monitoring prototype deployed and tested on 2500+ vehicles, and contributed to a Mobility-as-a-Service app with cross-country collaboration. Configured SUMO and commercial simulators for network testing and provided transport data analytics course guidance.
Software Engineer at IFS RnD International
July 1, 2017 - October 4, 2025
Developed core Project Management functionality of IFS ERP used by 2000+ customers in 60+ countries. Contributed to bug fixes, investigations, customer interactions, and feedback to improve operations.
Trainee Software Engineer at SimCentric Technologies
October 1, 2014 - October 4, 2025
Developed a real-time multi-monitor desktop capturing and remote streaming tool used as a training tool for the US military. Worked on video and audio encoding using C++ and libraries such as OpenCV and FFmpeg.

Education

PhD at University of New South Wales
June 1, 2021 - October 4, 2025
BSc (Hons) Information Technology & Management at University of Moratuwa
January 1, 2016 - October 4, 2025
PhD in Engineering at University of New South Wales
June 1, 2021 - October 4, 2025
BSc (Hons) in Information Technology & Management at University of Moratuwa
January 1, 2016 - October 4, 2025
PhD at University of New South Wales, Australia
June 1, 2021 - October 4, 2025
BSc (Hons) Information Technology & Management at University of Moratuwa, Sri Lanka
January 1, 2016 - October 4, 2025

Qualifications

Building Database Agents (2024)
January 1, 2024 - October 4, 2025
LLMOps (2024)
January 1, 2024 - October 4, 2025
Multi AI Agent Systems with crewAI (2024)
January 1, 2024 - October 4, 2025
Efficiently Serving LLMs (2024)
January 1, 2024 - October 4, 2025
Advanced Retrieval (RAG) for AI with Chroma (2024)
January 1, 2024 - October 4, 2025
Building and Evaluating Advanced RAG (2024)
January 1, 2024 - October 4, 2025
Large Language Models with Semantic Search (2024)
January 1, 2024 - October 4, 2025
Serverless LLM apps with Amazon Bedrock (2024)
January 1, 2024 - October 4, 2025
Docker for Developers (2025)
January 1, 2025 - October 4, 2025
Prompt Engineering with Llama 2 (2024)
January 1, 2024 - October 4, 2025
LangChain for LLM Application Development (2024)
January 1, 2024 - October 4, 2025
Functions, Tools and Agents with LangChain (2024)
January 1, 2024 - October 4, 2025
Building Applications with Vector Databases (2024)
January 1, 2024 - October 4, 2025
Microsoft Azure AI Fundamentals (2024)
January 1, 2024 - October 4, 2025
Microsoft Azure Data Scientist (2023)
January 1, 2023 - October 4, 2025
Power BI Fundamentals (Coursera, 2023)
January 1, 2023 - October 4, 2025
Machine Learning Specialization (Coursera, 2022)
January 1, 2022 - October 4, 2025
Deep Learning Specialization (Coursera, 2021)
January 1, 2021 - October 4, 2025
Self-Driving Car Engineer Nanodegree (Udacity, 2020)
January 1, 2020 - October 4, 2025
Machine Learning (Stanford, Coursera, 2014)
January 1, 2014 - October 4, 2025
Microsoft Azure AI Fundamentals
January 1, 2024 - October 4, 2025
Microsoft Azure Data Scientist
January 1, 2023 - October 4, 2025
Power BI Fundamentals
January 1, 2023 - October 4, 2025
Machine Learning Specialization (Coursera)
January 1, 2022 - October 4, 2025
Self-Driving Car Engineer Nanodegree (Udacity)
January 1, 2020 - October 4, 2025
Deep Learning Specialization (Coursera)
January 1, 2021 - October 4, 2025
Building Database Agents
January 1, 2024 - October 4, 2025
LLMOps
January 1, 2024 - October 4, 2025
Multi AI Agent Systems with crewAI
January 1, 2024 - October 4, 2025
Efficiently Serving LLMs
January 1, 2024 - October 4, 2025
Advanced Retrieval (RAG) for AI with Chroma
January 1, 2024 - October 4, 2025
Building and Evaluating Advanced RAG
January 1, 2024 - October 4, 2025
Large Language Models with Semantic Search
January 1, 2024 - October 4, 2025
Serverless LLM apps with Amazon Bedrock
January 1, 2024 - October 4, 2025
Docker for Developers
January 1, 2025 - October 4, 2025
Prompt Engineering with Llama 2
January 1, 2024 - October 4, 2025
LangChain for LLM Application Development
January 1, 2024 - October 4, 2025
Functions, Tools and Agents with LangChain
January 1, 2024 - October 4, 2025
Building Applications with Vector Databases
January 1, 2024 - October 4, 2025
Microsoft Azure AI Fundamentals
January 1, 2024 - October 4, 2025
ChatGPT Prompt Engineering for Developers
January 1, 2023 - October 4, 2025
Microsoft Azure Data Scientist
January 1, 2023 - October 4, 2025

Industry Experience

Energy & Utilities, Software & Internet, Government, Transportation & Logistics, Professional Services