Apr 2023 – Oct 2024 · 1 yr 6 mos · San Francisco, California, United States · On-site

• Member of the Cloud Team at Robust Intelligence, focusing on SaaS layer development and enterprise-readiness features.
• Stack: Go, Python, Kubernetes, Terraform, Helm

May 2022 – Apr 2023 · 11 mos · San Francisco, California, United States

• Worked on the Data Infrastructure team responsible for the complete lifecycle of sensor data, from recording on the trucks, to indexing it on the cloud
• Upgraded the Airflow infrastructure and developed tasks to process lidar data
• Used with Kafka and Kubernetes to move from a batch processing to a stream processing paradigm
• Actively monitored our data pipelines and respond to any live incidents that may be affecting our SLAs
• Added metrics to our services and created datadog monitors for monitoring and alerting maturity in our services
• Designed and developed new tools and infrastructure to support other internal teams that rely on data generated on the trucks
• Stack: Python, Airflow, Kubernetes, Kafka, Jenkins, ArgoCD, MySQL, RabbitMQ, AWS, Datadog

Jan 2021 – May 2022 · 1 yr 4 mos

• Working on the analysis and reporting infrastructure for threat and vulnerability management at Salesforce.
• Worked on migrating team's data store from a relational to a graph database.
• Developed and improved ETL pipelines for vulnerability information. These pipelines were developed in SQL stored procedures and Python. They operate on and enrich vulnerability details.
• Enhanced the team's infrastructure deployment practices by migrating to kubernetes and adopting the Infrastructure as Code paradigm using Terraform.

Jan 2020 – Jan 2021 · 1 yr

Jun 2019 – Sep 2019 · 3 mos · Greater Boston Area

• Interned on Platform Services team within Infrastructure Team, working on the full stack. Created a dashboard to provide visibility into an internal process by generating event based data from it. Worked with Elasticsearch, Kibana, AWS Lambda, Python and Java.

Sep 2019 – Dec 2019 · 3 mos

• CSE 258: Web Mining and Recommender Systems

Apr 2019 – Jun 2019 · 2 mos

• COGS 108: Data Science in Practice

Jan 2019 – Mar 2019 · 2 mos

• TA for the course COGS 120: Interaction Design, taught by Prof. Scott Klemmer.
• Responsible for leading Studio sessions, holding office hours and grading.

Jun 2018 – Aug 2018 · 2 mos · Gurgaon, India

• Used Python to analyzed and process sensor data collected from trucks, while on various trips.
• Trained ML model using XGBoost in Python for predicting ETA of trucks with an RMSE (error) of 8 mins on trips of 200 mins duration.
• Created Proof-of-Concept for a route planning engine, that can be customized based on business needs. Used Java based open-source Graphhopper engine.

May 2017 – Jul 2017 · 2 mos · Hyderabad Area, India

• Worked on Apache Hadoop and Apache Spark to develop a package to allow customers to read databases stored in AWS S3.

Nov 2015 – Jun 2018 · 2 yrs 7 mos · Mumbai

• Created and evolved the startup from an idea to having a product in the market.
• Developed the complete backend in Django (Python) and the Android mobile applications for end customers and pharmacy partners. Implemented coupon code system, GCM notifications, order history, tracking and other essentials for an e-commerce mobile application.
• Being part of an early stage startup increased my sphere of responsibilities to various operations like ground work, marketing, customer satisfaction etc.
• Expanded to multiple cities in India and grew to several orders every day.