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I am a dedicated Data Scientist and AI Engineer with extensive experience in designing, developing, and deploying scalable AI solutions across multiple countries. I specialize in collaborating with clients and teams to translate business needs into technical problem statements and building robust tools for time-series visualization and complex AI pipelines. I have led end-to-end product development cycles for international AI projects, driving significant user engagement with 115,000+ learners becoming AI-ready through context-specific applications. My expertise spans MLOps, DevOps, cloud services (AWS), and creating custom AI/ML pipelines, alongside developing innovative AI educational assets bridging diverse learner skill levels.…I am a dedicated Data Scientist and AI Engineer with extensive experience in designing, developing, and deploying scalable AI solutions across multiple countries. I specialize in collaborating with clients and teams to translate business needs into technical problem statements and building robust tools for time-series visualization and complex AI pipelines. I have led end-to-end product development cycles for international AI projects, driving significant user engagement with 115,000+ learners becoming AI-ready through context-specific applications. My expertise spans MLOps, DevOps, cloud services (AWS), and creating custom AI/ML pipelines, alongside developing innovative AI educational assets bridging diverse learner skill levels.

Sarang Sonar

Data Scientist, AI Engineer, Developer, +2

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I am a dedicated Data Scientist and AI Engineer with extensive experience in designing, developing, and deploying scalable AI solutions across multiple countries. I specialize in collaborating with clients and teams to translate business needs into technical problem statements and building robust tools for time-series visualization and complex AI pipelines. I have led end-to-end product development cycles for international AI projects, driving significant user engagement with 115,000+ learners becoming AI-ready through context-specific applications. My expertise spans MLOps, DevOps, cloud services (AWS), and creating custom AI/ML pipelines, alongside developing innovative AI educational assets bridging diverse learner skill levels.…I am a dedicated Data Scientist and AI Engineer with extensive experience in designing, developing, and deploying scalable AI solutions across multiple countries. I specialize in collaborating with clients and teams to translate business needs into technical problem statements and building robust tools for time-series visualization and complex AI pipelines. I have led end-to-end product development cycles for international AI projects, driving significant user engagement with 115,000+ learners becoming AI-ready through context-specific applications. My expertise spans MLOps, DevOps, cloud services (AWS), and creating custom AI/ML pipelines, alongside developing innovative AI educational assets bridging diverse learner skill levels.

Available to hire

I am a dedicated Data Scientist and AI Engineer with extensive experience in designing, developing, and deploying scalable AI solutions across multiple countries. I specialize in collaborating with clients and teams to translate business needs into technical problem statements and building robust tools for time-series visualization and complex AI pipelines.

I have led end-to-end product development cycles for international AI projects, driving significant user engagement with 115,000+ learners becoming AI-ready through context-specific applications. My expertise spans MLOps, DevOps, cloud services (AWS), and creating custom AI/ML pipelines, alongside developing innovative AI educational assets bridging diverse learner skill levels.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Work Experience

Data Scientist (Work Study) at SMS Digital GmbH

January 31, 2024 - August 6, 2025

Collaborated with clients and teams to translate business needs into technical problem statements. Conceptualized and designed a project-agnostic time-series visualization library handling large data with robust validation and complex test suites. Deployed the library for use by 3 data science teams. Developed and deployed a time-series explainer library implementing methods from research papers, and built custom perturbators tailored to application-specific time windows. Improved latency by 45% through C-profiling and optimized code using NumPy and Cython. Developed application-specific CI/CD pipelines for production using Jenkins and GitHub.

Gen AI Software Engineer at Roche GmbH

February 1, 2024 - Present

Designed, developed, and deployed scalable AI solutions, leading AI teams across MLOps, DevOps, and Data Science to deliver impactful AI projects across four countries. Directed end-to-end product development lifecycle for six-figure international AI projects enabling 115,000+ learners to become AI-ready through context-specific applications. Designed technical education assets using Bloom's taxonomy and adult learning principles to bridge the learning gap between low-code/no-code learners and full-stack AI developers. Architected AI applications in collaboration with Intel using frameworks like TensorFlow, Keras, OpenVINO, and OpenCV and deployed them on AWS using principles of MLOps and DevOps. Developed scalable GenAI solutions by identifying key operational touchpoints and rapidly deploying PoCs. Translated AI research into production-grade applications merging academic innovation with business value. Planned, developed, and optimized infrastructure using LLM Ops, DevOps, and cloud

AI Consultant and Developer at SL2 (Startup), Singapore

September 30, 2022 - August 6, 2025

Led AI teams spanning MLOps, DevOps, and Data Science to design, develop, and deploy scalable AI solutions. Drove strategic use case identification by engaging with SMEs and domain experts to translate complex problems into actionable AI solutions across four countries. Directed end-to-end product development lifecycle for six-figure international AI projects, enabling over 115,000 learners to become AI-ready through context-specific applications. Designed technical education assets using Bloom’s taxonomy and adult learning principles to bridge the gap between low-code/no-code learners and full-stack AI developers. Architected AI applications in collaboration with Intel using frameworks like TensorFlow, Keras, OpenVINO, and OpenCV and deployed them on AWS using first principles of MLOps and DevOps. Developed scalable GenAI solutions by identifying key operational touch points and rapidly deploying PoCs. Translated AI research into production-grade applications, bridging the gap betwe