Rushikesh Awatare

Full Stack Developer and third-year Computer Engineering student with hands-on experience building scalable web applications and AI-driven solutions. Interned at Bosch (Nashik), contributing to GenAI-powered tools, AI-based inventory management systems, and analytics dashboards. Strong foundation in problem-solving, backend development, and data-driven applications.

Selected as a speaker at the NASA Trees Around the GLOBE Webinar, presenting sustainability and environmental data insights on an international platform.

Project Trainee (Software Development Intern) - Bosch Limited - Nashik, On-Site

(2025-07 - 2025-12)

• GenAI-Powered Internal Defect Cost (IDC) Reduction Tool: Developed a software tool to automate the analysis and reduction of Internal Defect Costs (IDC) arising from production line errors and rework in mechanical assembly.

Integrated

Generative AI to reducing manual analysis time by 40% and contributing to a 15% reduction in associated costs.

Technologies: Python, Streamlit, Generative AI APIs (OpenAI), REST APIs

• AI-Driven Child Component Inventory Management for CRI: Built an inventory prediction system for child components of Critical Repair Items (CRI) to prevent production line stoppages. Implemented time-series forecasting (Facebook Prophet) to predict component shortages, improving inventory accuracy by 30% and reducing emergency procurement costs.

Technologies: Python, Facebook Prophet, Pandas, Scikit-learn, Django, Django REST Framework, WebSockets, SQLite

• Real-Time Web Application for Component RQL Monitoring: Created a full-stack monitoring dashboard for Reorder Quantity Levels (RQL) of mechanical components like shims and gaskets. Provided real-time visual alerts for low stock, reducing manual tracking by 90% and improving response time to stock deficits by 50%.

Technologies: Django, Django REST Framework, Django Channels (WebSockets), MySQL, HTML, CSS, JavaScript, and Chart.js

B.E. - Computer Engineering - SNJB's Late Sau K. B. Jain College Of Engineering (Affiliated to SPPU) (2023 - 2027)