Purvi Jaiswal

Machine Learning Engineer specializing in scalable ML systems, backend APIs, and automation pipelines, with hands-on experience deploying production-grade solutions using FastAPI and Python.

Machine Learning Engineer - AgNext Technologies

(2025-05)

• Designed and deployed ML-powered FastAPI services integrated with MongoDB/MySQL, enabling scalable calibration workflows.
• Built concurrent automation pipeline using Python threading and Windows automation tools, reducing manual calibration time by 60%.
• Developed a React-based dashboard with real-time job tracking, queue management, and failure handling for production workflows.
• Designed structured logging and monitoring system, improving debugging efficiency and system reliability.

ML Project – Food Quality Prediction (PLSR) - AgNext Technologies

(2026-01)

• Built regression models to predict food quality parameters using NIR spectroscopy data.
• Improved model performance through feature selection, scaling, and hyperparameter tuning.
• Models were evaluated using MAE, RMSE, and statistical validation techniques.

Machine Learning Intern - AgNext Technologies

(2024-11 - 2025-05)

• LabX: Developed FastAPI-based Azure Blob APIs supporting batch downloads and dynamic ZIP generation, improving data accessibility.
• Pro on Qualix: Built Flask APIs for NIR data processing with validation pipelines and outlier detection, enabling robust model evaluation.

Full Stack Developer Intern - KodNest

(2024-07 - 2025-01)

• Developed end-to-end web applications using Java, Spring Boot, ReactJS, and SQL with RESTful architecture.

M.Tech - AI & ML - BITS Pilani (WILP) (2026)

B.Tech - Computer Science - United College (2020 - 2024)