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I'm Tharit Khan, a MSc AI student at King's College London, with a First-Class BSc in Computer Science (AI). I enjoy turning abstract AI ideas into deployable solutions and building end-to-end ML systems that deliver real impact. I'm a proactive communicator and leader, currently the Technical Lead of King's Artificial Intelligence Society and a Student Ambassador for the AE Global Summit 2025. My experience includes delivering an award-winning RAG pipeline at KPIT and pursuing advanced research in multi-agent systems and Go engines. I’m excited to apply my skills in AI engineering / applied ML roles to build scalable, responsible AI products.…I'm Tharit Khan, a MSc AI student at King's College London, with a First-Class BSc in Computer Science (AI). I enjoy turning abstract AI ideas into deployable solutions and building end-to-end ML systems that deliver real impact. I'm a proactive communicator and leader, currently the Technical Lead of King's Artificial Intelligence Society and a Student Ambassador for the AE Global Summit 2025. My experience includes delivering an award-winning RAG pipeline at KPIT and pursuing advanced research in multi-agent systems and Go engines. I’m excited to apply my skills in AI engineering / applied ML roles to build scalable, responsible AI products.

THARIT KHAN

AI Engineer, AI Developer, Data Scientist, +2

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I'm Tharit Khan, a MSc AI student at King's College London, with a First-Class BSc in Computer Science (AI). I enjoy turning abstract AI ideas into deployable solutions and building end-to-end ML systems that deliver real impact. I'm a proactive communicator and leader, currently the Technical Lead of King's Artificial Intelligence Society and a Student Ambassador for the AE Global Summit 2025. My experience includes delivering an award-winning RAG pipeline at KPIT and pursuing advanced research in multi-agent systems and Go engines. I’m excited to apply my skills in AI engineering / applied ML roles to build scalable, responsible AI products.…I'm Tharit Khan, a MSc AI student at King's College London, with a First-Class BSc in Computer Science (AI). I enjoy turning abstract AI ideas into deployable solutions and building end-to-end ML systems that deliver real impact. I'm a proactive communicator and leader, currently the Technical Lead of King's Artificial Intelligence Society and a Student Ambassador for the AE Global Summit 2025. My experience includes delivering an award-winning RAG pipeline at KPIT and pursuing advanced research in multi-agent systems and Go engines. I’m excited to apply my skills in AI engineering / applied ML roles to build scalable, responsible AI products.

Available to hire

I’m Tharit Khan, a MSc AI student at King’s College London, with a First-Class BSc in Computer Science (AI). I enjoy turning abstract AI ideas into deployable solutions and building end-to-end ML systems that deliver real impact.

I’m a proactive communicator and leader, currently the Technical Lead of King’s Artificial Intelligence Society and a Student Ambassador for the AE Global Summit 2025. My experience includes delivering an award-winning RAG pipeline at KPIT and pursuing advanced research in multi-agent systems and Go engines. I’m excited to apply my skills in AI engineering / applied ML roles to build scalable, responsible AI products.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Language

Javanese

Advanced

Work Experience

AI Developer Intern at KPIT

September 1, 2025 - September 1, 2025

Designed and implemented a RAG pipeline using Python and FAISS to automate CAPL test-script generation. Reduced script generation from 5 days to 3 minutes for drafting and 1 day for revision, achieving 85%+ accuracy. Orchestrated an internal training session on GenAI, collaborating with teams from Germany and India for feedback.

Data Analyst & RPA Intern at Michelin

September 1, 2024 - September 1, 2024

Delivered 4 Power Platform apps using Power Automate to digitize workflows, optimizing it by 70%. Analysed tyre-defect data with Power BI to inform process improvements; assisted internal digital courses as TA.