Bhavya Gulati Email & Phone Number

San Francisco, Ca, Us

San Francisco, Ca, Us

Ads @ Instacart• Implementing Backend for different user facing ads formats on instacart.com utilizing:1. Ruby on Rails framework using Sorbet for strong-typing2. Client-facing flexible APIs exposed via GraphQL3. Postgres and Snowflake backend relational data stores4. Async durable event handling infrastructure including async RPC via AWS SNS/SQS, RabbitMQ5. Caching and durable job dispatching using Memcached and Redis6. Auto-scaling elastic service deployments built on AWS ECS, ALBs, and supporting cloud services7. Rich monitoring and alerting infrastructure built on DataDog, Sentry, OpsGenie

San Francisco, Ca, Us

Ads @ Instacart

Bentonville, Arkansas, Us

• Real-time Log Monitoring System for Puppet1. Designed and developed a transformation pipeline for streaming data and centralized log storage using Logstash and Elasticsearch for ~500 log messages per second ingested from different sources.2. Created a unified Kibana dashboard to display KPIs like response codes from puppet agents, configuration deployment time per agent, top requests and critical failures. Reduced incident identification time by intelligent thresholding and alerting.• Infra Asset Lifecycle Tracking1. Developed a containerized flask application to collect and transform asset lifecycle data from disparate sources.2. Built dashboards to discover assets reaching end of life and track decommissioning progress. Reducing overall time by 85%.

Santa Barbara, California, Us

Project: Budgeting Portal• Designed and build a responsive React Budgeting portal which helped property managers create, plan and track the progress of their fiscal year budgets.• Collaborated in a small Agile team for complete SDLC from requirements gathering, designing, developing to testing the application.Tech stack: Ruby on Rails, React, MVC, REST, Selenium and Unit testing, Git

Marina Del Rey, California, Us

Project:(Research)^2• Leveraging cutting-edge technology: Knowledge Graphs for a DARPA funded project to give insights from exponentially increasing scientific literature.• Collecting and Mining data to find Highly influential citations, Authors influence score, TopActive Geolocations using NLKT, Textblob in Python and ElasticSearch for DatabaseTech stack: Python, NLKT, TextBlob, ElasticSearch

San Jose, Ca, Us

Project: BestPicks• Designed autonomous scalable and secure data pipelines fed with 65 million records. Scaled and automated the pipeline using Jenkins, GPUs, docker, and Hadoop which reduced the turn around time by 96%• Trained an ML model to predict the likelihood of small seller items getting sold based on recent selling trends on eBay. Utilized the predictions to optimize search result page item ranking.Tech stack: Python, Hadoop, Hive, GPU, Docker, Jenkins

Mumbai, Maharashtra, In

Project: Smart Oil rigs• Devised Real-time Equipment Condition Monitoring system for Smart oil rigs using Javascript on an IoT tool, DGLux5.• Predicted equipment failures using Sequential Neural Network on time series data.• Reduced Bandwidth utilized by 13% for data flow from rigs to data centers by employing MQTT.Tech stack: JavaScript, HTML, MQTT, Parstream(Columnal DB), Neural NetworksTool: DgLux (IoT)

Mumbai, Maharashtra, In

Project: FastQuote Insurance System• Analyzed, defined and collected the system requirements of the Insurance Management System.• Designed a non-redundant and normalized database schema for FastQuote Web system, so that the data can flow and stored efficiently.• Implemented the system using ADO.NET for MySQL database connectivity with 3 layer architecture of .NET for a secure, scalable and robust application. Web technologies used for an enhanced user interaction were JScript, JQuery, Ajax, Bootstrap.Tech stack: JavaScript, JQuery, Ajax, BootStrap, MySQL, C#

Project: QHealth•Improved Patient appointment booking experience by designing real-time API-fed d3.js charts.•Created SMS/MMS/Call based First aid using Flask for low internet connectivity situations like naturaldisasters. Used Microsoft Cognitive Suite, Language processing (LUIS) for Image, Language processing and Flask for the backend development.Tools: Microsoft LUIS, Cognitive Suite, Flask, Robomongo, Maven, Postman

• Implement “Obstacle detection and Path planning” application for Govt. funded Defence project• Leveraged Image Processing (OpenCV, Skimage) and Artificial Intelligence (A* algorithm) to automate path planning process for army vehicles on unpaved terrains.Technology: AI(A*), OpenCV, Skimage, Python

Aizawl, Mizoram, In

Our team developed Amazon like Web System using PHP with MySQL database.JS, JQuery, Ajax were used to enhance user experience.

We organised fun based programming and computer science events such as quiz, competitive programming rounds and treasure hunts.

Master Of Science - Ms, Computer Science

Bachelor Of Technology (Btech), Computer Science

Full Stack Web Development Certificate, Computer Software Engineering