Murad Popattia
Software Engineer at Retrocausal- Claim this Profile
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Bio
Credentials
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Applied Data Science with Python Specialization
CourseraSep, 2020- Nov, 2024 -
Data Engineering, Big Data, and Machine Learning on GCP Specialization
CourseraSep, 2020- Nov, 2024 -
IBM Data Science Specialization
CourseraSep, 2020- Nov, 2024 -
DeepLearning.AI TensorFlow Developer Specialization
CourseraAug, 2020- Nov, 2024 -
Deep Learning Specialization
CourseraJul, 2020- Nov, 2024 -
Python for Everybody Specialization
CourseraJul, 2020- Nov, 2024
Experience
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Retrocausal
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United States
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Software Development
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1 - 100 Employee
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Software Engineer
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Oct 2022 - Present
• Developed on-prem inferencing microservices with Amazon SQS for PyTorch models.• Optimized file management using Amazon S3 and boto3.• Designed workstation ergonomics with MediaPipe and RealSense SDK.• Implemented Industrial IoT communication via Modbus, OPC UA, and MQTT.• Enabled MES interoperability with dynamic AI model switching and Statistical Process Control.• Oversaw on-site SDLCs, from requirements to deployment alongside customer success.• Enhanced object detection with 3D plane computations for unified data annotation and logic building. Show less
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Research Engineer
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Nov 2021 - Sep 2022
• Explored unsupervised video segmentation techniques, including video alignment, representation learning using transformers, and pseudo-label generation via temporal optimal transport.• Implemented model learning across frames and segments with an integrated alignment loss layer to enhance representation learning.• Investigated multi-modal networks by integrating depth modalities from Kinect SDK with RGB data.• Augmented C3D architectures to improve invariance to background during inference.• Implemented semi-supervised strategies like time-stamp based action segmentation to optimize annotation efficiency and reduce model delivery time. Show less
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Securiti
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United States
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Software Development
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300 - 400 Employee
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Associate Software Engineer
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May 2021 - Oct 2021
• Implemented Personal Data (PD)-Type detectors and regex post-processors for content classification improving classifier precision by 15%. • Expanded system coverage by adding support for 18 new localities and 12 new PD-types. • Developed bash and Python scripts to automate ETL (Extract, Transform, Load) processes for content classifiers. • Implemented Personal Data (PD)-Type detectors and regex post-processors for content classification improving classifier precision by 15%. • Expanded system coverage by adding support for 18 new localities and 12 new PD-types. • Developed bash and Python scripts to automate ETL (Extract, Transform, Load) processes for content classifiers.
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DevVaults Software
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United States
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IT Services and IT Consulting
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1 - 100 Employee
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.NET Developer
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Jan 2020 - Mar 2021
• Led responsive web app development (HTML5, JavaScript, Entity Framework, CSS, Bootstrap) for data visualization. • Spearheaded advanced tech integration (WCF, ASP.NET, C#) aligned with user needs. • Designed ASP.NET MVC solutions with top-tier practices and patterns. • Executed data imports (SSIS) into SQL Server, leveraging Azure for scaling. • Drove ERD and schema design with Entity Framework's data-first approach. • Practiced Agile (pair programming, TDD, FDD, CI/CD, Kanban) development. • Crafted dynamic Winforms and server controls (ADO.NET, Data Binding). • Streamlined ETL for streaming data (Apache Kafka, BigQuery, Redshift). • Automated CI/CD using Azure DevOps Pipelines. • Established YAML-based pipelines for consistent CI/CD workflows. Show less
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Education
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National University of Computer and Emerging Sciences
Bachelor's degree, Computer Science -
Beaconhouse
A' Levels, Sciences -
Beaconhouse
O' Levels, Sciences