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I am a Machine Learning Engineer based in Tucson with hands-on experience building scalable, LLM‑integrated applications and analytic pipelines. I specialize in fine-tuning language models, exploratory data analysis, and creating modular, Python-based codebases that scale with data and users. I turn data into actionable insights that drive strategic decisions, reduce analysis time, and improve client outcomes. I thrive in collaborative, Agile environments and enjoy mentoring teammates while pushing the boundaries of AI, ML, and data engineering to deliver real-world impact.…I am a Machine Learning Engineer based in Tucson with hands-on experience building scalable, LLM‑integrated applications and analytic pipelines. I specialize in fine-tuning language models, exploratory data analysis, and creating modular, Python-based codebases that scale with data and users. I turn data into actionable insights that drive strategic decisions, reduce analysis time, and improve client outcomes. I thrive in collaborative, Agile environments and enjoy mentoring teammates while pushing the boundaries of AI, ML, and data engineering to deliver real-world impact.

Yogeshwar Sapkal

Data Scientist, AI Engineer, Data Analyst, +2

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I am a Machine Learning Engineer based in Tucson with hands-on experience building scalable, LLM‑integrated applications and analytic pipelines. I specialize in fine-tuning language models, exploratory data analysis, and creating modular, Python-based codebases that scale with data and users. I turn data into actionable insights that drive strategic decisions, reduce analysis time, and improve client outcomes. I thrive in collaborative, Agile environments and enjoy mentoring teammates while pushing the boundaries of AI, ML, and data engineering to deliver real-world impact.…I am a Machine Learning Engineer based in Tucson with hands-on experience building scalable, LLM‑integrated applications and analytic pipelines. I specialize in fine-tuning language models, exploratory data analysis, and creating modular, Python-based codebases that scale with data and users. I turn data into actionable insights that drive strategic decisions, reduce analysis time, and improve client outcomes. I thrive in collaborative, Agile environments and enjoy mentoring teammates while pushing the boundaries of AI, ML, and data engineering to deliver real-world impact.

Available to hire

I am a Machine Learning Engineer based in Tucson with hands-on experience building scalable, LLM‑integrated applications and analytic pipelines. I specialize in fine-tuning language models, exploratory data analysis, and creating modular, Python-based codebases that scale with data and users.

I turn data into actionable insights that drive strategic decisions, reduce analysis time, and improve client outcomes. I thrive in collaborative, Agile environments and enjoy mentoring teammates while pushing the boundaries of AI, ML, and data engineering to deliver real-world impact.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

AI and Data Science Intern at Feather and Stone LLC

August 1, 2025 - October 15, 2025

Reduced data analysis time by 90% by developing a scalable, LLM-integrated web application using LangChain, Python, and Hugging Face; optimized prompts to enhance automated insight generation for property evaluation datasets. Conducted statistical and exploratory data analysis on 1,200+ businesses using demographic, sales, employment, and traffic data to uncover patterns and inform pragmatic solutions. Utilized time-series and geographic data analysis to reveal commute and traffic trends informing strategic land-use decisions. Presented data-driven insights to 7 stakeholders, translating complex analyses into actionable findings.

Senior Software Engineer at Persistent Systems

August 1, 2024 - October 15, 2025

Engineered an AI-driven document analysis system using LangChain that fine-tuned an LLM for automated extraction and classification of key legal clauses from unstructured contracts, achieving 92% accuracy and reducing document review time by 50%. Collaborated with cross-functional teams to develop predictive statistical frameworks and modular AI pipelines, increasing client retention by 30% through actionable trend analysis. Mentored two junior engineers in an Agile environment, fostering knowledge sharing and improving overall team productivity.

Software Engineer at Persistent Systems

July 31, 2023 - October 15, 2025

Developed complex SQL queries for database validation, ensuring data integrity and supporting backend testing. Integrated automated testing into CI/CD pipelines with Jenkins, improving build and deployment efficiency by 40%.

AI and Data Science Intern at Feather and Stone LLC

August 1, 2025 - October 15, 2025

Reduced data analysis time by 90% by developing a scalable, LLM‑integrated web application using LangChain and Hugging Face. Implemented prompt optimization to enhance automated insight generation for property evaluation datasets. Conducted statistical and exploratory data analysis on 1,200+ businesses and performed time-series and geographic analyses to inform pragmatic solutions. Presented data-driven insights to seven stakeholders, translating complex analyses into actionable recommendations.

Senior Software Engineer at Persistent Systems

August 1, 2024 - October 15, 2025

Engineered an AI‑driven document analysis system using LangChain to fine‑tune an LLM for automated extraction and classification of key legal clauses from unstructured contracts, achieving 92% accuracy and reducing review time by 50%. Collaborated with product and design teams to develop predictive statistical frameworks and modular AI pipelines, contributing to a 30% increase in client retention through actionable trend analysis. Mentored two junior engineers in an Agile environment to boost team productivity.

Software Engineer at Persistent Systems

July 1, 2023 - October 15, 2025

Developed complex SQL queries for database validation to ensure data integrity and supported backend testing. Integrated automated testing into CI/CD pipelines using Jenkins, improving build and deployment efficiency by 40%.