Preksha User
@prekshauser
Machine Learning Engineer specializing in Computer Vision, NLP, and production ML systems.
What I'm looking for
I am a Machine Learning Engineer with hands-on experience delivering production-grade ML systems for healthcare and enterprise applications, with deep expertise in Computer Vision, NLP, OCR, and Explainable AI. I have owned end-to-end workflows including data pipelines, model training, evaluation, explainability, deployment, and inference optimization using Python, PyTorch, TensorFlow, FastAPI, Docker, and cloud infrastructure.
My recent work includes deploying YOLOv8 detection models for surgical instrument detection, CNN diagnostic pipelines for trauma and fracture detection, OCR–NLP automation for resume parsing, and SHAP-based explainability integrated into clinical dashboards to improve clinician trust and reduce review time. I collaborate effectively with clinical, QA, and product teams to validate and productionize ML modules.
Experience
Work history, roles, and key accomplishments
Machine Learning Engineer
Nuvo AI (Meril Life Sciences)
Dec 2024 - Present (1 year 2 months)
Built and deployed explainable AI workflows and YOLOv8 surgical instrument detection models trained on 10k+ images, reducing model review time by 30% and enabling real-time OR inference; implemented OCR–NLP pipelines that cut manual screening by 50%.
Cloud Technology Developer
PwC India
Apr 2023 - Nov 2023 (7 months)
Developed Salesforce CRM components using Apex and Lightning Web Components, implemented automation (triggers, batch jobs) and improved stability via validations and test coverage during enterprise deployments.
Education
Degrees, certifications, and relevant coursework
VIT Bhopal University
Bachelor of Technology, Computer Science and Engineering
2020 - 2024
Grade: 8.45/10
Completed a B.Tech in Computer Science and Engineering with a focus on machine learning, computer vision, and NLP; achieved a CGPA of 8.45/10.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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