Ragesh Rajagopalan — Senior Software Engineer

18+ years of software development and quality assurance | BigData | Machine Learning | Micro services | Java | Hadoop | Python Career Highlights: LinkedIn: - Conceptualized and led the grid (BigData) operational intelligence charter for LinkedIn to help ~400 engineers reduce their time to ship. I envisioned a connected-grid ecosystem and successfully pitched, aligned & on-boarded all grid-customers to this ecosystem. - The charter involved interesting technical challenges - Multiple grids with tens of petabytes of data, multiple systems integration to ensure a single source of truth, design, and development of microservices, and big data applications. - Grid customers successfully leveraged applications developed in this charter to monitor datasets & flows, analyze & troubleshoot failures, do capacity & resource planning and to estimate the cost to serve. I contributed to open source projects like Dr. Elephant and Azkaban. GitHub profile - https://github.com/rajagopr Key call-outs: - Machine learning, Java native map-reduce, PIG, Python - Evangelist & Technical advisor for herding large horizontal initiatives (impacting ~200 engineering team across geos) - Trained large teams on new tools & technologies - Mentored junior team members - Agile development FinTech - D.E.Shaw & IMC Trading Zurich - Large-scale high-frequency trading systems quality assurance with automation; defined & implemented automation framework, technologies, and processes end-to-end - Market data feeds data pipeline quality automation for incoming and outgoing orders; Handled large volumes of data to enable high-frequency trades - Project lead – experienced in mentoring & growing teams

Stackforce AI infers this person is a Backend-heavy Fullstack Engineer with expertise in Fintech and SaaS.

Location: Seattle, Washington, United States

Experience: 19 yrs 1 mo

Skills

Big Data
Microservices
Software Development
System Architecture
Machine Learning
Quality Assurance
Automation

Career Highlights

Led BigData operational intelligence at LinkedIn.
Reduced AWS feature launch time from 8 weeks to 2 weeks.
Developed automation frameworks for high-frequency trading.

Work Experience

StarTree

Senior Software Engineer - II (2 yrs 5 mos)

Amazon Web Services (AWS)

Software Development Engineer - II (3 yrs 5 mos)

Senior Software Engineer (4 yrs 8 mos)

D. E. Shaw & Co.

Project Lead (3 yrs 9 mos)

IMC

Quality Analyst (10 mos)

D. E. Shaw & Co.

Member Technical (1 yr 10 mos)

Cognizant Technology Solutions

Programmer (2 yrs 2 mos)

Education

Information Technology at University of Calicut

Ragesh Rajagopalan

Senior Software Engineer

Seattle, Washington, United States19 yrs 1 mo experience

Highly Stable

Key Highlights

Led BigData operational intelligence at LinkedIn.
Reduced AWS feature launch time from 8 weeks to 2 weeks.
Developed automation frameworks for high-frequency trading.

Stackforce AI infers this person is a Backend-heavy Fullstack Engineer with expertise in Fintech and SaaS.

Contact

Skills

Core Skills

Big DataMicroservicesSoftware DevelopmentSystem ArchitectureMachine LearningQuality AssuranceAutomation

Other Skills

Apache PinotJavaMapReduceHadoopPIGPythonSeleniumCore JavaSQLShell ScriptingUnixAlgorithmsBig Data Analytics

About

Experience

19 yrs 1 mo

Total Experience

2 yrs 8 mos

Average Tenure

Current Experience

Startree

Senior Software Engineer - II

Dec 2022 – May 2025 · 2 yrs 5 mos

Designed and implemented StarTree Serverless, which reduced StarTree cloud costs from 1.5 million USD per year to about 100K USD per year.
Designed and implemented the Segment Backfill Task, which addressed a key gap in StarTree Pinot.
Designed and implemented the Segment Purge Task, which enabled StarTree address use-cases demanding GDPR data retention requirements
Designed and implemented the Databricks to Apache Pinot integration, which helped StarTree in winning customers with Delta tables.
Designed and implemented the batch segment upload feature, which allowed uploads of tens of thousands of segments, and reduced the upload time from several minutes to a few seconds.

Apache PinotBig DataMicroservices

Amazon web services (aws)

Software Development Engineer - II

Jul 2019 – Dec 2022 · 3 yrs 5 mos · Greater Seattle Area

Designed and implemented the observability solution for AWS pricing model teams, impacting ~80 engineers and 9 pricing model teams.
Re-architected LastMile package tracking system, which reduced new feature launch time from 8 weeks to 2 weeks.
Designed and implemented the backend service for Amazon LastMile package reduction project, which enabled a projected revenue stream of five million per year.

Software DevelopmentSystem Architecture

Senior Software Engineer

Feb 2014 – Oct 2018 · 4 yrs 8 mos · Bengaluru Area, India

Defined and developed the grid operational intelligence charter impacting ~400 engineers by reducing their time to ship. (Machine Learning, Java, MapReduce, Hadoop, PIG, Python)
Contributed to open source BigData projects like Dr. Elephant and Azkaban.
Anchored adoption of anomaly detection machine learning tool across Bangalore engineering team
Spearheaded large horizontal initiatives to ensure code quality, consistency & parity across different environments of LinkedIn products (eg online and offline)
Worked on GDPR initiatives.
Evangelized Rinse automation framework for LinkedIn Bangalore engineering team.
Developed automation suite for online and offline wallets (Rinse and Casperjs).
Developed automation framework for API's and UI.
Conducted training on new tools and technologies to large teams.

Big DataMachine Learning

D. e. shaw & co.

Project Lead

Apr 2010 – Jan 2014 · 3 yrs 9 mos · Hyderabad Area, India

Developed web-driver (Java, Selenium) based automation suite for a large-scale pre-trade data analysis engine. The tool was critical for traders to make buy/sell decisions
Partnered with cross-functional stakeholders across trading domains such as Energy, Futures, Options, Macro, Equity.
Managed a team of engineers.
Developed performance testing framework for firm-wide resource monitoring & alerting system. Ensured optimized monitoring of > 100K resources with downtime detecting & alerting window of ~30 secs.
Developed automation framework for builds and release pipeline.

Quality AssuranceAutomation

Imc

Quality Analyst

Feb 2009 – Dec 2009 · 10 mos · Switzerland

Quality assurance engineer in the market data connectivity team. Developed a Java-based automation framework to test the market data feeds, and the order management system which connected to various exchanges that IMC participated in.

Quality AssuranceAutomation

D. e. shaw & co.

Member Technical

Oct 2006 – Aug 2008 · 1 yr 10 mos · Hyderabad Area, India

Ensured the quality of a data visualization system used by traders. Developed automated systems to quality check PNL reports generated by various business units.

Quality Assurance