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I'm Yash Kesharwani, an AI/ML Developer focused on building enterprise-scale agentic AI systems. I design and deploy machine learning solutions to solve business problems, with strong Python, TensorFlow, PyTorch, and scikit-learn skills, plus hands-on experience in multi-agent architectures, LLM fine-tuning, and prompting strategies. Currently, I contribute to AI-powered platforms at Bootcoding Pvt. Ltd., applying statistical modeling and agent workflow design to drive measurable business KPIs like task completion rate, accuracy, and efficiency gains. I'm passionate about applying agentic AI and ML to deliver real-world impact at scale.…I'm Yash Kesharwani, an AI/ML Developer focused on building enterprise-scale agentic AI systems. I design and deploy machine learning solutions to solve business problems, with strong Python, TensorFlow, PyTorch, and scikit-learn skills, plus hands-on experience in multi-agent architectures, LLM fine-tuning, and prompting strategies. Currently, I contribute to AI-powered platforms at Bootcoding Pvt. Ltd., applying statistical modeling and agent workflow design to drive measurable business KPIs like task completion rate, accuracy, and efficiency gains. I'm passionate about applying agentic AI and ML to deliver real-world impact at scale.

Yash Kesharwani

AI Developer, Data Scientist, AI Engineer, +2

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I'm Yash Kesharwani, an AI/ML Developer focused on building enterprise-scale agentic AI systems. I design and deploy machine learning solutions to solve business problems, with strong Python, TensorFlow, PyTorch, and scikit-learn skills, plus hands-on experience in multi-agent architectures, LLM fine-tuning, and prompting strategies. Currently, I contribute to AI-powered platforms at Bootcoding Pvt. Ltd., applying statistical modeling and agent workflow design to drive measurable business KPIs like task completion rate, accuracy, and efficiency gains. I'm passionate about applying agentic AI and ML to deliver real-world impact at scale.…I'm Yash Kesharwani, an AI/ML Developer focused on building enterprise-scale agentic AI systems. I design and deploy machine learning solutions to solve business problems, with strong Python, TensorFlow, PyTorch, and scikit-learn skills, plus hands-on experience in multi-agent architectures, LLM fine-tuning, and prompting strategies. Currently, I contribute to AI-powered platforms at Bootcoding Pvt. Ltd., applying statistical modeling and agent workflow design to drive measurable business KPIs like task completion rate, accuracy, and efficiency gains. I'm passionate about applying agentic AI and ML to deliver real-world impact at scale.

Available to hire

I’m Yash Kesharwani, an AI/ML Developer focused on building enterprise-scale agentic AI systems. I design and deploy machine learning solutions to solve business problems, with strong Python, TensorFlow, PyTorch, and scikit-learn skills, plus hands-on experience in multi-agent architectures, LLM fine-tuning, and prompting strategies.

Currently, I contribute to AI-powered platforms at Bootcoding Pvt. Ltd., applying statistical modeling and agent workflow design to drive measurable business KPIs like task completion rate, accuracy, and efficiency gains. I’m passionate about applying agentic AI and ML to deliver real-world impact at scale.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Work Experience

AI/ML Developer Intern at Bootcoding Pvt. Ltd.

September 1, 2024 - Present

Applied machine learning and statistical modeling to solve business problems in vendor management and partner experience domains, driving measurable improvements in operational efficiency. Developed and deployed enterprise-scale agentic AI systems including AI voice agents and intelligent automation solutions using machine learning techniques and LLM integration. Built orchestration layers, state management systems, and tool integration frameworks for reliable agent actions in agentic AI applications. Conducted experiments on agent behaviour, analysed results using business KPIs including task completion rate, accuracy, and efficiency gains, informing iterative model improvements. Applied LLM prompting strategies to enhance agent decision-making accuracy across diverse automated workflows. Collaborated in agile squads to prototype, test, and deploy AI agent systems and RAG-enabled solutions for autonomous workflows, contributing to sprint-based delivery cycles.