Aaditya Gurav Email & Phone Number

New York, United States

Experienced developer specializing in building robust systems and enhancing user experiences:- Engineered a SailsJS backend for an alerting system, ensuring timely notifications to users during weather events.- Designed a real-time weather sensor data pipeline using AWS technologies like Lambda, Kinesis, and S3 for efficient data handling. Created a user-friendly Node.js API for data accessibility.- Seamlessly integrated multiple sensors into existing systems, offering users up-to-date weather information.- Developed data pipelines for preprocessing and storing raw data in S3 buckets.- Enhanced user interaction and design by revamping product webpages using React.#BackendDevelopment #AWS #DataPipeline #React #WeatherSensors #Integration #SailsJS #NodeJS

New York, United States

Mumbai, Maharashtra, India

Experienced developer with a track record of creating over 100 client-specific connectors for seamless workflow automation. Leveraged REST APIs from platforms like Dialogflow, Facebook ads, and YouTube to empower users to effortlessly integrate these services into their existing systems. Worked closely with the front-end development team, utilizing React and Node.js, to build web pages and address any associated challenges. #Integration #APIs #WorkflowAutomation #FrontEndDevelopment

Pioneered a Mission Critical Communications Project for an upcoming Metro project, leveraging cutting-edge technologies including Vue.js, Node.js, and Amazon Web Services to create robust front-end, back-end, and hosting solutions.Successfully delivered web and mobile applications for numerous e-commerce organizations, utilizing modern platforms such as React.js, AngularJS, Vue.js, and React Native. This approach provided users with the flexibility to access applications seamlessly on Android, iOS, and the web.#MissionCritical #VueJS #NodeJS #AWS #Ecommerce #ReactNative

Mumbai Area, India

Engineered an ML model for real-time estimation of Gas to Water Ratio in oilfields, leveraging data inputs including Humidity, Depth, and Soil Content. Employed ML models such as SVM and SVR, and implemented the model using Google's Tensorflow, achieving an impressive accuracy of approximately 88%.Additionally, contributed to data-driven decision-making in the oil industry by creating multiple Data Visualization reports using Tableau. These reports showcased trends in oil fields across the Gujarat region, aiding in informed decisions about drilling locations.#MachineLearning #Tensorflow #DataVisualization #Oilfields #DecisionMaking #Tableau

Master'S Degree, Computer Science

Bachelor Of Engineering - Be, Computer Engineering