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I am a first-class honours Computer Science (Artificial Intelligence) graduate with hands-on experience designing, building, and deploying AI/ML solutions using Python, TensorFlow, PyTorch, LLMs, RAG, FastAPI, SQL, and modern software engineering practices. I have delivered end-to-end ML solutions from data preprocessing, feature engineering, model development, evaluation, and deployment to monitoring and iterative improvement using real-world datasets. I excel at building scalable data pipelines and backend systems that translate complex business problems into production-ready AI solutions. I thrive in Agile, cross-functional teams, where clear communication and stakeholder management help translate technical concepts into business value. My foundation spans ML/DL, Generative AI, Large Language Models, and backend engineering, and I am passionate about solving challenging problems with AI. I am eager to continue shipping reliable AI systems and driving measurable impact.…I am a first-class honours Computer Science (Artificial Intelligence) graduate with hands-on experience designing, building, and deploying AI/ML solutions using Python, TensorFlow, PyTorch, LLMs, RAG, FastAPI, SQL, and modern software engineering practices. I have delivered end-to-end ML solutions from data preprocessing, feature engineering, model development, evaluation, and deployment to monitoring and iterative improvement using real-world datasets. I excel at building scalable data pipelines and backend systems that translate complex business problems into production-ready AI solutions. I thrive in Agile, cross-functional teams, where clear communication and stakeholder management help translate technical concepts into business value. My foundation spans ML/DL, Generative AI, Large Language Models, and backend engineering, and I am passionate about solving challenging problems with AI. I am eager to continue shipping reliable AI systems and driving measurable impact.

Dhruv Panwala

Data Scientist, AI Engineer, Full Stack Developer, +2

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I am a first-class honours Computer Science (Artificial Intelligence) graduate with hands-on experience designing, building, and deploying AI/ML solutions using Python, TensorFlow, PyTorch, LLMs, RAG, FastAPI, SQL, and modern software engineering practices. I have delivered end-to-end ML solutions from data preprocessing, feature engineering, model development, evaluation, and deployment to monitoring and iterative improvement using real-world datasets. I excel at building scalable data pipelines and backend systems that translate complex business problems into production-ready AI solutions. I thrive in Agile, cross-functional teams, where clear communication and stakeholder management help translate technical concepts into business value. My foundation spans ML/DL, Generative AI, Large Language Models, and backend engineering, and I am passionate about solving challenging problems with AI. I am eager to continue shipping reliable AI systems and driving measurable impact.…I am a first-class honours Computer Science (Artificial Intelligence) graduate with hands-on experience designing, building, and deploying AI/ML solutions using Python, TensorFlow, PyTorch, LLMs, RAG, FastAPI, SQL, and modern software engineering practices. I have delivered end-to-end ML solutions from data preprocessing, feature engineering, model development, evaluation, and deployment to monitoring and iterative improvement using real-world datasets. I excel at building scalable data pipelines and backend systems that translate complex business problems into production-ready AI solutions. I thrive in Agile, cross-functional teams, where clear communication and stakeholder management help translate technical concepts into business value. My foundation spans ML/DL, Generative AI, Large Language Models, and backend engineering, and I am passionate about solving challenging problems with AI. I am eager to continue shipping reliable AI systems and driving measurable impact.

Available to hire

I am a first-class honours Computer Science (Artificial Intelligence) graduate with hands-on experience designing, building, and deploying AI/ML solutions using Python, TensorFlow, PyTorch, LLMs, RAG, FastAPI, SQL, and modern software engineering practices. I have delivered end-to-end ML solutions from data preprocessing, feature engineering, model development, evaluation, and deployment to monitoring and iterative improvement using real-world datasets. I excel at building scalable data pipelines and backend systems that translate complex business problems into production-ready AI solutions.

I thrive in Agile, cross-functional teams, where clear communication and stakeholder management help translate technical concepts into business value. My foundation spans ML/DL, Generative AI, Large Language Models, and backend engineering, and I am passionate about solving challenging problems with AI. I am eager to continue shipping reliable AI systems and driving measurable impact.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Intermediate

Beginner

Language

English

Fluent

Work Experience

AI & Data Engineer (Volunteer) at Otermans Institute

January 1, 2026 - June 1, 2026

Designed and deployed an end-to-end NL-to-SQL AI analytics platform to solve business problems for Kenya Medical College, developing scalable Python services, data pipelines, and Retrieval-Augmented Generation (RAG) workflows for real-world healthcare datasets. Built modular FastAPI backend services integrating LLMs, SQL databases, APIs, and vector search, enabling natural language querying of complex structured and unstructured data. Designed preprocessing and validation pipelines for noisy real-world datasets, improving model reliability and downstream performance. Evaluated and optimised AI system performance through iterative experimentation, testing, and stakeholder feedback, achieving 30–40% improvement in entity recognition accuracy and ~50% latency reduction. Collaborated in Agile teams using Git, code reviews, and AI-assisted development tools to deliver production-ready AI solutions.

Media Search Analyst at TELUS Digital

November 1, 2025 - Present

Evaluated and validated 1,000+ data samples to improve training dataset quality for ML ranking and recommendation systems. Maintained 98%+ accuracy, supporting high-quality labelled data for downstream model optimisation. Performed structured data analysis, categorisation, and quality assurance to improve model precision and reliability.