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 a
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About
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.
Experience
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.
Education
M.Tech - AI & ML - BITS Pilani (WILP) (2026)
B.Tech - Computer Science - United College (2020 - 2024)
