Jun 2023 – Present · 3 yrs · United States · Remote

• Opensignal is a mobile and broadband analytics company recognized across the industry as the independent global standard for measuring real-world subscriber connectivity experience and network performance.

Jul 2021 – Jun 2023 · 1 yr 11 mos · Vancouver, British Columbia, Canada · Remote

• Engineering Manager for Drill & Blast Domain at Teck RACE25, mentoring & working together with a team of 12 devs
• Designed & Implemented concurrent, distributed, throughput-heavy data processing workflows.
• Developed the”Data as a Service” layer and reduced data fetch latencies by 36%.
• Achieved a 71% reduction in end-to-end processing time through optimizing Databricks jobs.
• Led and actively took part in the successful Migration of the entire tech stack from GCP to Azure.
• Benchmarked multiple Azure Services and compared them to GCP counterparts, to identify ideal
• Azure counterparts for existing GCP Tech stack.
• Led efforts to understand the feature requirements by Product Managers, Deployment Specialists & ML Engineers.
• Being the First In-house Engineer at Drill & Blast, led hiring efforts to grow the team to 12 devs.
• Tech Stack: Composer, BigQuery, Cloud Functions, Container Registry, Cloud Run, Databricks, Azure Data Factory, CosmosDB, Azure Functions, EventHubs, Azure Dev/Ops, Spark, Airflow, PyS-
• park, Python, SQL, Git, Git Workflows.

Jun 2021 – Mar 2023 · 1 yr 9 mos · Remote · Remote

• Owned the entire partner item catalog data ingestion lifecycle at Flashfood.
• Designed & Implemented Unified Data Processing Layer in Spark.
• Reduced the SLA of new partner data ingestion from 3 days to 1 day using config-based design.
• Developed modules to support all major data sources/sinks including cloud storages, Databases [
• both relational & NoSQL] & file formats.
• Designed & Implemented incremental delta loads to optimize data processing time by 60% & cost by 53%.
• Managed the entire CI/CD process using CircleCI & Git.
• Actively participated in hiring efforts along with Engineering Manager to grow the team to 3 devs.
• Major Tech-Stack: DBT, Tableau, Lambda, DynamoDB, Glue, Athena, Redshift, EMR, Managed
• Airflow, Databricks, Azure Data Factory, Azure Functions, CircleCI, Spark, PySpark, Python, SQL, Git.

Sep 2018 – Apr 2021 · 2 yrs 7 mos · Vancouver, Canada Area

• . Designed, Developed, and Evaluated Distributed solutions to extract insights from graph data with billions of nodes and trillions of relations. We developed the first-ever general-purpose pattern mining software to analyze changing graphs like social network graphs, pandemic networks, and web graphs. etc.
• . Researched latency-driven pattern-matching algorithm on streaming graphs using a custom-built C++ pattern mining engine.
• . Designed & Developed pattern mining software ‘Protean’ to process streaming updates in less than a millisecond.
• . Achieved 70x performance boost when compared to the current state-of-the-art pattern mining software.
• . Implemented a fast parallel multi-versioning in-memory storage to track streaming updates.
• . Researched fast efficient pattern matching on large-scale graphs on single and distributed systems.
• . Published “Kasra Jamshidi, Rakesh Mahadasa, and Keval Vora. 2020. Peregrine: a pattern-aware graph mining system. In Proceedings of the Fifteenth European Conference on Computer Systems”.
• . Teck Stack: Google Cloud Platform, AWS, On-Premise compute and storage, Terraform, C++, Spark, HDFS, FlintRock, Shell Scripts, Python (NumPy, Pandas, Matplotlib, Seaborn), Docker.

Aug 2015 – Jul 2018 · 2 yrs 11 mos · Bengaluru Area, India

• . Designed and Developed scalable data processing services to consolidate from multiple sources including flat files, relational tables, parquet files, logs, message queues, etc.
• . Streamlined data ingestion to machine learning models and Tableau dashboard.
• . Built a streaming data processing solution to find fraudulent credit card transactions in less than a second.
• . Designed & Implemented a batch processing engine to monitor application usage statistics & trends using Splunk logs.
• . Implemented SQL, HiveQL queries to analyze and understand the data.
• . Led efforts to understand the feature requirements by Financial Advisors & ML Engineers.
• . Teck Stack: On-Premise compute and storage, GCP Composer, Cloud Functions, DataProc, Azure EventHubs, Stream Analytics, AppInsights, Databricks, PySpark, Spark Streaming, Kafka, Hadoop. Sqoop, Pig, HDFS, Hive, HBase, Impala, Parquet Files, Tableau, MS-SQL Server, Teradata, Airflow, Oozie, Autosys, Docker, Kubernetes, Git.

May 2014 – Jul 2014 · 2 mos · Mumbai Area, India

• Project: Developer's Dash Board.
• Built a web app which provides the developers , a dash board kind of interface to check whether all the web services of JP Morgan are up and running and had no expired content in any of them.
• Used Javascript , Jquey for dynamic content of the web page and HTML , CSS for static content.

Mar 2014 – Aug 2014 · 5 mos · NIT Calicut

• Added Suggest tags feature which will parse the URL and the title of the page before storing the bookmark and suggest tags based on the Parts of Speech(POS).
• Used Textblob package in python to get the POS of the words.

Jun 2013 – Jul 2013 · 1 mo · Bangalore

• Worked on building application monitoring SDK for Android Apps
• Our team won the best project award from Google in MIT AITI Labs 2013