Hi, I'm Yash Yadav, an enthusiastic AI Engineer and Data Scientist with hands-on experience in machine learning, data analysis, and AI agent orchestration. I've worked on projects ranging from employee attrition prediction to pothole detection and medical chatbot development, leveraging advanced AI frameworks and cloud platforms to deliver impactful solutions. I am passionate about applying AI and data science to solve real-world problems and always eager to learn new technologies and develop innovative applications. I thrive in collaborative environments and enjoy contributing to projects that drive measurable improvements.

Yash Yadav

Hi, I'm Yash Yadav, an enthusiastic AI Engineer and Data Scientist with hands-on experience in machine learning, data analysis, and AI agent orchestration. I've worked on projects ranging from employee attrition prediction to pothole detection and medical chatbot development, leveraging advanced AI frameworks and cloud platforms to deliver impactful solutions. I am passionate about applying AI and data science to solve real-world problems and always eager to learn new technologies and develop innovative applications. I thrive in collaborative environments and enjoy contributing to projects that drive measurable improvements.

Available to hire

Hi, I’m Yash Yadav, an enthusiastic AI Engineer and Data Scientist with hands-on experience in machine learning, data analysis, and AI agent orchestration. I’ve worked on projects ranging from employee attrition prediction to pothole detection and medical chatbot development, leveraging advanced AI frameworks and cloud platforms to deliver impactful solutions.

I am passionate about applying AI and data science to solve real-world problems and always eager to learn new technologies and develop innovative applications. I thrive in collaborative environments and enjoy contributing to projects that drive measurable improvements.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
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Work Experience

Data Scientist at Omdena
December 31, 2024 - August 4, 2025
Built and deployed a pothole detection machine learning model achieving 96% accuracy. Improved feature extraction processes to increase processing speed by 40%, enabling faster model iterations for transportation infrastructure projects. Integrated advanced algorithms in an operational framework to identify over 200 potholes monthly, increasing city responsiveness by 30%.
Artificial Intelligence Engineer at Samsung Innovation Campus Delhi
September 30, 2024 - August 4, 2025
Built a machine learning model for employee attrition with 85% accuracy, identifying high-risk employees. Executed data clustering techniques to classify and segment temperature-related data plots, improving predictive modeling efficiency by 20%. Analyzed large datasets with Python and SQL to uncover key employee retention factors.
Data Scientist at Bluebash Chandigarh
June 1, 2025 - Present
Currently developing a local MCP server for a product named Kickcall, enabling modular tools for AI agents. Integrated FastMCP with OpenAI and LangChain for agentic workflows and multi-tool orchestration. Utilized Docker for containerization, ensuring smooth deployment and testing in isolated environments.

Education

BTech in Information Technology at Gautam Buddha University
September 1, 2021 - May 31, 2025
BTech in Information Technology at Gautam Buddha University
September 1, 2021 - May 1, 2025

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Transportation & Logistics, Healthcare, Professional Services
    paper Hybrid LLM Aggregator
    Built a hybrid AI system using two large language models (LLMs) where the first model generates responses to user prompts, and the second summarizes outputs to improve clarity and accuracy, enhancing answer quality by 30%. Improved user satisfaction to 92% (A/B tested) by combining creative text generation with concise summarization, later adapting the system for customer support and content creation tasks. Evaluated outputs using metrics like BLEU/ROUGE and addressed AI "hallucinations" with confidence scoring, ensuring reliable results for real-world use cases.

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