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Junior AI Developer
Generative AI Engineer at Moksha Infotech who developed legal RAG retrieval and drafting workflows with 630 passing tests.
IndiaJunior AI Developer at Moksha Infotech
Contributed to a Legal AI system for Indian law, building retrieval workflows with query expansion and multi-pass recall, and ran domain-adaptive pretraining of InLegalBERT. Developed document processing and drafting components and wrote pytest regression tests, reaching 630 passing tests.
PythonRAGChromaDBInLegalBERTHugging Face TransformersQuery ExpansionMulti Stage RetrievalPytestDocument Automation
Built a vehicle-component failure prediction workflow using EDA, feature engineering, and ML models to reduce operational downtime. Automated vendor-data collection from Google Maps with Python and Selenium across 13 categories.
PythonSQLEDAFeature EngineeringMachine LearningSelenium
Built a YOLOv8 hazard-detection model for industrial scrap images using transfer learning and Roboflow, and reviewed predictions with domain experts to reduce false positives.
YOLOv8Transfer LearningOpenCVRoboflow
Pursuing M.Tech in Data Science and Artificial Intelligence, expected to complete in October 2027.
Pursuing M.Tech in Data Science and Artificial Intelligence, expected to complete in October 2027.
Completed a professional course in Data Science and AI from October 2023 to July 2024.
Completed a professional course in Data Science and AI from October 2023 to July 2024.
Completed Bachelor of Engineering in Mechanical Engineering from 2017 to 2021.
Completed Bachelor of Engineering in Mechanical Engineering from 2017 to 2021.
Earned a Diploma in Artificial Intelligence from SUNY.
Completed a certificate course in Data Science from NASSCOM.
Profile sourced from Himalayas.