Technical Associate (Operations & Automation) at GUIITAR Council (2024-10 – 2026-05)
- Automated workflow processes using Python and Google Apps Script, reducing manual data entry and file management overhead for incubated startups by an estimated 15+ hours weekly.
- Performed comprehensive data validation, spreadsheet automation (Google Sheets/Excel), and folder architecture audits to maintain strict operational compliance.
- Drafted and managed official communications, notices, and internal documentation to streamline cross-functional incubator operations.
Software Intern at Tech Solutions Mobile (2025-12 – 2026-01)
- Contributed to the migration of a legacy mobile GST billing tool into a scalable, multi-tenant web platform.
- Developed a local-first data model using IndexedDB, guaranteeing invoice generation in under 5 seconds in zero-connectivity environments.
- Implemented data contracts for eventual consistency, syncing local queues to a Golang REST API backend upon network reconnection.
- Assisted in enforcing a secure two-state invoice lifecycle where the Go backend maintains immutable tax snapshots (CGST/SGST/IGST) to prevent client-side data manipulation.
Production & Additive Manufacturing Intern at Vexma Technologies Pvt. Ltd. (2024-12 – 2025-01)
- Managed end-to-end additive manufacturing workflows, executing 3D CAD modeling, slicing, and physical production using SolidWorks and Materialise Magics.
- Operated industrial 3D printers, including the ZRapid iSLM280 (Metal DMLS) and iSLA 660, maintaining strict quality control tolerances.
Data Analytics Intern at IBM SkillsBuild & CSRBOX (2024-06 – 2024-08)
- Executed a 6-week intensive Data Analytics project lifecycle, focusing on statistical analysis, predictive modeling, and data manipulation.
- Trained supervised machine learning models using Python, Pandas, NumPy, and Scikit-Learn within cloud-based Jupyter Notebooks.
- Built data visualizations using Matplotlib and Excel to extract and communicate actionable business insights.
Python Programming Intern at YHills (with E-Cell IIT Hyderabad) (2023-07 – 2023-08)
- Built and trained machine learning models in Jupyter Notebooks, including predictive models for vaccination rates and numerical amount forecasting.
- Conducted exploratory data analysis and constructed linear regression models using NumPy, Pandas, Matplotlib, and Seaborn.
