Paras Doshi Email & Phone Number

Seattle, Wa, Us

Seattle, Wa, Us

Philadelphia, Pa, Us

Worked with the Driver Route Optimization Team predominantly in Go, JavaScript and Python.Created an application to trigger, visualize and compare different order clusters and driver route algorithms on a mapping platform.Enhanced goPuff’s driver-routing-simulator by integrating a linear pack time model based on item counts, and resolving non-deterministic outputs due to race conditions.Integrated functionality into driver-routing-simulator to adjust driver movement speed based on time of day and location.Created Azure Function to summarize and publish statistics of route simulations to slack.Restructured the driver routing service to read location data from blob storage.

Santa Clara, California, Us

Developed an in-house tool to monitoring tool to measure an IaaS product usage per client which generated both daily and monthly reports to be reviewed by revelant departments. Steps were taken to ensure robust infrastructure and security was enforced by KMS encryption. Tool deployment was automated using Terraform.Assisted in testing a new Netskope product before release by writing scripts to generate, replicate and modify CloudWatch Logs to simulate "custom" anomalies. These log were then ingested and used to test for the detection of custom anomalies. Created a REST-API endpoint which interacted with MongoDB, and returned specific client consumption statistics depending on input query. Optimized unit-tests by mocking Mongo and other dependencies throughout team repository.

Santa Clara, California, Us

Developed a custom ETL tool to enable a major financial organisation to transition to Netskope's IaaS suite. Automated the tool instantiation procedure for client using AWS Cloudformation. Worked on modifying IaaS network exposure scripts and database calls to further optimize it and enhance its capabilities.Integrated and debugged celery monitoring solution on the QE stack using Flower (open source) in a docker container.Implemented and tested Datadog(APM) as well as Prometheus and Grafana for latency monitoring solutions.

Philadelphia, Pa, Us

Developed an algorithm that performs geospatial proximity and attribute analysis on the abandoned water mains throughout Philadelphia. Optimized the algorithm to reduce processing time by 92% and increase match accuracy to 98%. Distributed the tool within department to successfully recover missing data for 58,000 water mains. Missing data was used to run LEYP analysis on water mains to predict future probability of future failure. Also ran regular quality control on water main break data.

Kista, Stockholm, Se

Completed and validated service account forms. Performed market research with supervisor on Ericsson's newly released products. Prepared sample sales pitch presentations utilizing researched information to present to supervisors.

Th

Received first-hand knowledge of the manufacturing processes of exhaust systems and carried out extensive research on anechoic chambers.

Bachelor'S Degree, Computer Engineering

Master'S Degree, Computer Engineering

Education record