Abhijeet Sarkar

M.Tech in Geoinformatics

July 2022 - July 2024

Relevant Coursework

• Remote Sensing and Photogrammetry
• Geographic Information Systems (GIS)
• Machine Learning and Big Data

B.Tech. in Electrical Engineering

July 2017 - May 2020

Relevant Coursework

• Database Management Systems
• Control Systems
• Microprocessor & Microcontroller

Experience

March 2016 - June 2022

Full Stack Developer

• Developed and maintained web applications using JavaScript, HTML, and CSS, with a focus on front-end and back-end development
• Implemented user interfaces and user experience design using React, Angular, Vue, and other front-end frameworks
• Designed and managed databases using SQL and NoSQL databases, such as MongoDB and MySQL
• Developed server-side logic using Node.js, Python, and other programming languages
• Deployed and maintained applications on cloud platforms, such as AWS and Google Cloud Platform

Cloud Computing

• Designed and implemented cloud infrastructure on public cloud platforms such as AWS, Azure and Google Cloud
• Developed and maintained high-availability, fault-tolerant, and scalable cloud services using Kubernetes, Docker, and other containerization technologies
• Configured and managed cloud-based databases, such as Amazon RDS, Azure SQL, and Google Cloud SQL
• Developed and deployed serverless applications using AWS Lambda, Azure Functions, and Google Cloud Functions
• Conducted performance optimization, cost analysis, and security hardening for cloud infrastructure and applications

Android Developer

• Designed and developed mobile applications for Android devices using Java, Kotlin, and other programming languages
• Implemented user interfaces and user experience design using Android SDK and libraries such as Material Design
• Worked with APIs, web services, and data storage, such as SQLite databases and Firebase Realtime Database
• Conducted testing, debugging, and performance optimization for mobile applications
• Collaborated with cross-functional teams, including designers, product managers, and back-end developers, to ensure successful app development and release

July 2022 -

GIS Developer

• Developed and maintained geographic information systems (GIS) applications using ArcGIS, QGIS, and other software tools
• Designed and implemented databases to store and retrieve geospatial data, including spatial data analysis and mapping
• Created custom web mapping applications using JavaScript, HTML, and CSS, with Leaflet and OpenLayers libraries
• Conducted spatial analysis, data visualization, and data management to support environmental and urban planning projects
• Collaborated with interdisciplinary teams, including engineers, planners, and project managers, to ensure successful project delivery and client satisfaction

Satellite Image Processing

• Processed and analyzed remote sensing data, including satellite imagery and LiDAR data, using ENVI, ArcGIS, and other software tools
• Conducted image classification, feature extraction, and change detection analysis to support environmental monitoring and land use management projects
• Developed custom scripts and algorithms using Python programming languages to automate image processing workflows
• Integrated and analyzed data from multiple sources, including climate and land use data, to support spatial modeling and decision-making

Spatial Data Science

• Developed and maintained geographic information systems (GIS) applications using ArcGIS, QGIS, and other software tools
• Conducted spatial analysis, data visualization, and data management to support environmental and urban planning projects
• Developed custom scripts and algorithms using Python programming languages to automate data processing workflows and analysis
• Integrated and analyzed data from multiple sources, including climate and land use data, to support spatial modeling and decision-making
• Collaborated with interdisciplinary teams, including geographers, ecologists, and data scientists, to ensure successful project delivery and client satisfaction

AI Enthusiast

• Developed and implemented machine learning models using deep learning frameworks, such as TensorFlow, Keras, and PyTorch
• Conducted exploratory data analysis and feature engineering to prepare data for modeling
• Optimized machine learning models for performance and accuracy, using techniques such as hyperparameter tuning and regularization
• Integrated machine learning models into production environments, using tools such as Docker and Kubernetes
• Stayed up-to-date with the latest developments in AI research and technology, and explored potential applications and use cases for AI in various industries

Spatial Analyst

• Conducted spatial analysis and modeling using GIS software, such as ArcGIS and QGIS, to support environmental, urban planning, and natural resource management projects
• Developed custom scripts and tools using Python programming languages to automate data processing workflows and analysis
• Analyzed and interpreted large datasets, such as satellite imagery, LiDAR, and survey data, to identify patterns, trends, and insights
• Conducted geostatistical analysis, such as kriging and spatial autocorrelation, to estimate and predict values of geographic phenomena
• Developed and applied spatial algorithms, such as network analysis, spatial clustering, and terrain analysis, to solve spatial problems
• Conducted spatial visualization and data communication, using tools such as cartography, 3D visualization, and web mapping

Languages and Databases

Frameworks

Tools