Ritesh Sharma

AI Researcher

Leiden, South Holland, Netherlands1 yr 10 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Developed AI solutions for hospitality platforms.
Created a predictive model saving 92% testing time.
Enhanced data processing tools for decision-making.

Stackforce AI infers this person is a SaaS-focused AI and Machine Learning specialist.

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Skills

Core Skills

Artificial Intelligence (ai)Machine LearningData AnalysisSoftware Development

Other Skills

AlgorithmsAnalytical SkillsAnalyticsC++CommunicationCritical ThinkingData StructuresDeep LearningFlutterGitGitHubJavaJavaScriptKnowledge Representation and ReasoningMicrosoft Azure

About

“Young. Hungry. Smart. Trained. Deployable. Curious. knows Azure. Works well with others. Already solved real-world problems in high-pressure industrial and research settings. Would probably survive in a team. Hasn’t burned out yet. Hire now before someone else grabs him.” This is what an AI model said about me after a full existential meltdown. And honestly, it wasn't wrong.

Experience

Runnr.ai

AI Research Intern

Nov 2025 – Present · 4 mos · Utrecht, Netherlands · On-site

Building agentic AI solutions to enable autonomous web interactions across hospitality PMS platforms such as Mews, Apaleo, and BEX.
Designing intelligent automation workflows that allow agents to independently handle end-to-end booking, cancellation, and upselling tasks without human intervention.

Artificial Intelligence (AI)Machine LearningSoftware DevelopmentPython (Programming Language)Microsoft Azure

Asml

Research Intern: Generation for Machine-learning based Test Advice

Jul 2024 – Jul 2025 · 1 yr · Eindhoven, North Brabant, Netherlands · On-site

Developed a CatBoost based predictive test selection model that identifies over 85% of failing tests by executing only 8% of the full test suite, saving 92% of testing time and cloud costs.
Built an end-to-end data pipeline spanning raw database ingestion, feature engineering, preprocessing, model training and postprocessing to support reliable inference in a continuous integration environment.
Conducted a comprehensive literature review of state-of-the-art predictive testing methods to guide feature design and modeling decisions.
Research presented at the ASML Technology Conference 2025.

Machine LearningData AnalysisPython (Programming Language)Data StructuresAlgorithms

Giit solutions

Associate Software Engineer

Jan 2023 – Jul 2023 · 6 mos · Gurugram, Haryana, India

Development of Analytical Tools: Utilized Python to create and implement tools that enhanced data processing and visualization, significantly improving decision-making processes and project outcomes.
Azure Proficiency: Acquired foundational knowledge of Azure cloud solutions, focusing on optimizing system performance and enhancing user experiences within a dynamic Agile/Scrum environment.

Python (Programming Language)Microsoft AzureSoftware DevelopmentData Analysis