Harshit Raj

Software Engineer

Delhi, India0 mo experience

Key Highlights

Expert in building low-latency trading systems.
Proven track record in optimizing memory management.
Led development of a recruitment automation system.

Stackforce AI infers this person is a Fintech and SaaS specialist with strong expertise in low-latency systems and microservices.

Contact

harshit9304@gmail.com LinkedIn

Skills

Core Skills

Low Latency SystemsTrading SystemsMemory ManagementPerformance TestingAwsDatabase ManagementCustomer EngagementMicroservicesFrontend Development

Other Skills

Agile MethodologiesAmazon Web Services (AWS)Boost C++C (Programming Language)CPPData CentersData VisualizationDatabase DesignDatabasesDjangoEvent PlanningGPGPUGo (Programming Language)GoLangGraphQL

Experience

0 mo

Total Experience

Average Tenure

Current Experience

Quadeye

2 roles

Systems Engineer

Jun 2024 – Present · 1 yr 11 mos · Gurugram, Haryana, India · On-site

- Building low latency trading systems

Low Latency SystemsTrading Systems

Systems Engineer Intern

May 2023 – Jul 2023 · 2 mos · Gurugram, Haryana, India · On-site

Assessed design and working of heaptrack, a memory profiler, and resolved crashes occurred while runtime attachment
Improved communication time between heaptrack tracker and interpreter from 2200 ns to 85 ns using shared memory
Examined working of Google’s implementation of malloc, tcmalloc explored potential tunings and compared with glibc
Reported kernel-level operations of IO Uring for faster non-blocking reads of large static tick files using liburing
Build a visualization tool for real-time financial data, scaled to handle 10 million data points optimally using memory
Received pre-placement offer as a Systems Engineer based on performance during the summer internship

Memory ManagementPerformance TestingLinux Kernel

Blaze ai

DevOps Engineer Intern

Jan 2023 – Mar 2023 · 2 mos · California, United States · Remote

Spearheaded successful launch of the Discord subdivision to enhance customer engagement, especially for web3 products
Executed the scaling of the database on Snowflake database warehouse, boosting its efficiency and performance
Utilized AWS Amplify, Elastic Beanstalk, and authored pipelines to streamline deployment and log management, resulting in increased productivity and reduced downtime, and integrated Google Analytics for enhanced data insights
Collaborated on Airflow and step functions to automate scraping and data processing pipelines for cost savings

AWSSnowflakeDatabase Management

Students' placement office, iit kanpur

Product Engineer

May 2022 – Jul 2022 · 2 mos · Kanpur, Uttar Pradesh, India · On-site

Rolled out Recruitment Automation System for use by over 500+ companies and 2500+ students every year
Delivered enhanced security, scalability, and achieved an improvement in response time by approximately 60%
Developed a microservices-based backend in GoLang, an async mailing system, and a content delivery system
Designed and constructed feature-rich frontend in NextJS, including notifications, lazy loading, page-level auth, etc.
Ideated and wrote CI/CD pipelines, orchestrated the system using GitHub Actions, Nginx reverse proxy, and Docker
Created and led a team of 6 for the creation of frontend of the Recruitment Automation System

GoLangNext.jsMicroservicesFrontend Development