
Rahul Shah
Telecommunications Engineer

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About me
Research Scientist | Electrical/Image Processing Engineer | Computer Vision | AI/ML | Sensor Calibration & Validation
Education

Pokhara Vishwavidalaya
2014 - 2018Bachelor of Engineering - BE Electrical, Electronics and Communications Engineering 3.64Activities and Societies: President of Cosmos Robotics Research Team Relevant Courses: Electronic Device, Digital Signal Processing, Signal Processing, Wireless Communication, Analog & Digital Communication, Electronic Circuit, Microprocessor, Embedded Systems, Filter Design, Computer Networks

South Dakota State University
2021 - 2023Master of Science - MS Electrical and Electronics Engineering 3.9MS Thesis: Shah, R.; Leigh, L.; Pinto, C.T. Surface Reflectance Product Generation of MSS using SMACAA and Validation with Respect to LEDAPS. (To be published)Relevant Courses: Advance Image Processing, Remote Sensing Engineering, Optical Sensors, Digital Image Processing, Time Series, Non-Parametric Statistics
Experience

Vianet Communications
Dec 2018 - Jun 2020Telecommunications Engineer▪ Analyze, develop, implement, and troubleshoot telecommunications services and solutions.▪ Monitors and identify capacity and performance issues for telecommunications traffic to ensure continued, uninterrupted operation of telecommunications systems.▪ Coordinate and drive engineering and project implementation issues to resolution.▪ Create test reports, analysis documents, regular status reports pertaining to projects and service issues.▪ Respond appropriately to emergency requests, accurately identify, monitor, report, and escalate if required for any serious service interruptions Show less

GT Phoenix Consult
Jul 2020 - Jan 2021Graduate ResearcherProjects: Hydroponics System prototype to monitor & control hydroponics greenhouse using Raspberry Pi. Automated Attendance System using Radio Frequency Identifier (RFID) technology

South Dakota State University
Aug 2021 - Dec 2023Graduate Research Assistant- Processed datasets from various satellite sensors (Multi-spectral & Hyperspectral) for research analysis.- Conducted calibration and characterization of Earth Observation satellite sensors using advanced image processing algorithms.- Developed production tools for data conversion and image processing to enhance workflows efficiency.- Performed atmospheric correction and generated Surface Reflectance Products using SMACAA, cross-comparing results with LEDAPS.- Reprojected the MODIS IGBP products from sinusoidal projection to UTM projection and conducted classification of different land cover types.- Algorithm development of estimating per-land-cover types spectral band adjustment factor (SBAF) uisng hyperspectral ground truth measurements.- Evaluated SMACAA model performance on Landsat 1-5 MSS series sensors and generated MSS Level-2 Image Products which consists of GeoTIFF images and XML METEDATA file.- Quality Assurance of Landsat MSS SMACAA Surface Reflectance Products.- Conducted per-pixel uncertainty analysis of SMACAA model estimated surface reflectance using Monte-carlo simulation method.- Utilize a MySQL database to efficiently manage and organize the extensive meteorological datasets required for the project.- Temporal consistency check between Landsat MSS 1-5 SMACAA generated surface reflectance products with Landsat TM5 LEDAPS products.- Collaborated with a multidisciplinary team of scientists to interpret experimental results. Show less

Satelytics
Mar 2024 - nowResearch Scientist- Radiometric Calibration and Atmospheric Correction:Performed radiometric calibration and image-based atmospheric correction on Landsat 8/9 and Sentinel-2 satellite imagery.Ensured accuracy and consistency in remote sensing data for environmental and water quality monitoring.- Utility Vegetation Management:Worked on a project focused on classifying tree species using coarser resolution PlaneScope Imagery and GIS software to support utility vegetation management.Developed and implemented a machine learning model using Python, optimizing vegetation classification and risk assessment for utility infrastructure.- Vegetation Monitoring over Gas Pipelines:Developed a random forest model to monitor and assess vegetation health over gas pipeline routes using SkySat images.Enhanced early detection of vegetation encroachment, ensuring pipeline safety and compliance with environmental regulations.- Grazing Monitoring Algorithm Development:Currently working on algorithm development for monitoring grazing patterns over cattle rangelands.Integrating PlanetScope SuperDove Imagery and PRISM climate data with machine learning techniques to estimate biomass and forage production. Show less
Licenses & Certifications
- View certificate

Unsupervised Learning in Python
DataCampJun 2025 
Introduction to Plankton, Aerosol, Cloud, Ocean Ecosystem (PACE) Hyperspectral Observations for Water Quality Monitoring
NASA - National Aeronautics and Space AdministrationDec 2024- View certificate

Introduction to Git
DataCampAug 2024 - View certificate

Supervised Learning with scikit-learn
DataCampAug 2024 
Understanding Machine Learning
DataCampMay 2024
Intermediate Python
DataCampMar 2024
Overview of SeaDAS 8.4.1 for the Processing, Analysis, and Visualization of Optical Remote Sensing Data for Water Quality Monitoring
NASA - National Aeronautics and Space AdministrationFeb 2024- View certificate

Graduate Professional Development Certificate
South Dakota State University Graduate SchoolApr 2022 - View certificate

Responsible Conduct of Research
CITI ProgramOct 2021 - View certificate

Working with Geospatial Data in Python
DataCampSept 2024
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