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Data Scientist
Data Scientist at Paraxial Technologies building production 3D AI systems and a detection model with 94.5% mAP.
IndiaData Scientist at Paraxial Technologies
Architected and deployed containerized production AI workflows using Python and Docker for high-resolution 3D volumetric data, accelerating pipeline reproducibility and horizontal scalability by 25%. Engineered and validated an advanced 3D object detection model, achieving a 94.5% mean Average Precision (mAP) in identifying localized anomalous patterns within massive dense structural scans.
PythonDockerMONAINnDetection3D DetectionMLOpsMicroservicesREST APIs
Coached 15+ student engineering teams for national-level hackathons, steering custom AI systems and NLP software architectures from prototyping phases to cloud deployment. Formulated and delivered comprehensive graduate-level coursework in advanced Python development, Java paradigms, and enterprise software engineering structures to over 120+ students.
PythonJavaSoftware EngineeringAINLPcloud deploymentTeaching
Pursued an MTech in Data Science and AI, achieving a CGPA of 8.28/10.
Completed a BTech in Computer Science and Engineering with a CGPA of 8.34/10.
Profile sourced from Himalayas.