Headline

Associate AI & ML Developer | Building Production-Ready ML Models & Data Pipelines | Python • SQL • Machine Learning • Deep Learning

About

I’m an Associate AI & ML Developer building and deploying machine learning solutions and automated workflows that translate data into real business value. In my current role, I work across the end-to-end ML lifecycle — from data preprocessing and feature engineering to model training, evaluation, and integration into applications. Alongside model development, I design automation workflows using n8n to connect data sources, trigger ML pipelines, and streamline operational processes. My work focuses on production-oriented AI, ensuring models and workflows are reliable, scalable, and easy to maintain. I’ve supported use cases involving predictive modeling, data analysis, and visualization, integrating ML outputs into dashboards, APIs, and automated systems. I bring a strong foundation in Machine Learning, Deep Learning, and Data Analysis, with practical experience using Python, SQL, Power BI, and n8n to build data-driven solutions. I’m comfortable working in fast-paced, collaborative environments and enjoy solving ambiguous, real-world problems through structured thinking and automation. I look to build, optimize, and automate ML-driven systems while collaborating closely with cross-functional teams on scalable AI and data platforms.

Location

Kolhapur

Work experience

Associate AI and ML Developer at orelse, Jan 2025 - Present · 1 yr 6 mos, Maharashtra, India, • Built and optimized machine learning models for real-world use cases, covering data preprocessing, feature engineering, model training, and evaluation using Python-based ML frameworks. • Developed end-to-end ML workflows by integrating data sources with SQL-driven pipelines, ensuring reliable and scalable data processing. • Designed and implemented automation workflows using n8n to orchestrate data ingestion, trigger ML pipelines, and streamline repetitive operational tasks. • Performed exploratory data analysis (EDA) and generated actionable insights through data visualization and Power BI dashboards to support product and business decisions. • Collaborated with cross-functional teams (product, engineering, and stakeholders) to translate business requirements into deployable ML and data solutions. • Focused on production readiness, improving model reliability, maintainability, and integration into applications beyond experimentation.

Python Development at TechnoHacks EduTech Official, Aug 2023 - Sep 2023 · 2 mos, Remote, • Developed Python-based applications focusing on core programming concepts, logic building, and user interaction. • Strengthened Python fundamentals, debugging skills, and code structuring through hands-on development.

Data Science at CodSoft, Aug 2023 - Sep 2023 · 2 mos, Remote, • Worked on Python-based machine learning projects using structured datasets. • Applied data cleaning, exploratory data analysis (EDA), feature engineering, and model training techniques. • Gained hands-on experience with the end-to-end data science workflow and model evaluation.

Education

Bachelor of Technology - BTech, Computer Science and Engineering (Data Science), KIT's College of Engineering Kolhapur (Empowered Autonomous)