Chirag Agarwal — Software Engineer

👋 Hello, I’m Chirag Agarwal! I’m passionate about building scalable backend systems, streamlining infrastructure, and optimizing performance through clean engineering design. Currently, I work at D.E. Shaw as an Engineer, where I’ve led the development of a Log Parsing & Analytics Infrastructure adopted by 30+ teams. From creating real-time monitoring dashboards to integrating alerting/reporting workflows and boosting performance by 70% using Redis caching, I thrive on solving complex engineering challenges that improve reliability and efficiency. Previously, I interned at Sprinklr, where I optimized Elasticsearch clusters across 8 environments, migrated infrastructure to enhance security, and automated Azure AKS scaling solutions to strengthen production reliability. Beyond professional experience, I love experimenting with projects that push system design and performance: SpringShield – a secure authentication system using Spring Boot + JWT + role-based access control, strengthening API security by 70%. ThreadBoost – a Spring Boot application demonstrating non-blocking architecture, improving API throughput by 4x and showcasing efficiency gains in concurrent request handling. 🛠️ Tech Stacks: Frameworks – Spring, Spring Boot, REST APIs, JPA, Hibernate, Spring Security Languages – Java, Python, C++ Databases – MySQL, ElasticSearch, MongoDB DevOps/Cloud – AWS, Docker, Kubernetes, Redis, Kafka, Jenkins, Prometheus, Grafana 🎓 I hold a Bachelor of Engineering from MS Ramaiah Institute of Technology, where I maintained a CGPA of 8.0/10, reflecting my commitment to academic excellence alongside continuous professional growth. I’m eager to explore opportunities where I can apply my backend engineering expertise to drive innovation and deliver impactful solutions. Feel free to connect with me on LinkedIn or reach out directly at mchiragcr7@gmail.com.

Stackforce AI infers this person is a Backend Engineer specializing in SaaS solutions with a focus on performance optimization and infrastructure management.

Location: Hyderabad, Telangana, India

Experience: 1 yr 10 mos

Skills

Log Parsing
Analytics Infrastructure
Elasticsearch Optimization
Infrastructure Migration

Career Highlights

Led development of log analytics infrastructure adopted by 30+ teams.
Boosted performance by 70% using Redis caching.
Optimized Elasticsearch clusters, improving query performance by 25%.

Work Experience

The D. E. Shaw Group

Engineer (1 yr 10 mos)

Sprinklr

Product Intern (6 mos)

Education

Bachelor of Engineering - BE at Ramaiah Institute Of Technology

Chirag Agarwal

Software Engineer

Hyderabad, Telangana, India1 yr 10 mos experience

Key Highlights

Led development of log analytics infrastructure adopted by 30+ teams.
Boosted performance by 70% using Redis caching.
Optimized Elasticsearch clusters, improving query performance by 25%.

Stackforce AI infers this person is a Backend Engineer specializing in SaaS solutions with a focus on performance optimization and infrastructure management.

Contact

Skills

Core Skills

Log ParsingAnalytics InfrastructureElasticsearch OptimizationInfrastructure Migration

Other Skills

PythonReactJSRedisGrafanaPython (Programming Language)ElasticsearchGCPRole-Based Access Control (RBAC)JSON Web Token (JWT)Spring SecurityGoogle Cloud Platform (GCP)Programming LanguagesAmazon Elasticsearch ServiceJavaScript FrameworksAmazon VPC

About

Experience

1 yr 10 mos

Total Experience

1 yr 10 mos

Average Tenure

1 yr 10 mos

Current Experience

The d. e. shaw group

Engineer

Jul 2024 – Present · 1 yr 10 mos · Hyderabad, Telangana, India · Hybrid

Led the development of a Log Parsing & Analytics Infra, enabling efficient extraction, storage, and visualization of critical data from application logs.
Developed custom log parsing solutions for in-house applications and designed a Python config-driven framework to automate user onboarding.
Designed a real-time log monitoring and analysis platform, eliminating the dependency on Grafana and introducing customizable drag-and-drop dashboard creation for enhanced user control.
Optimized log debugging and analysis by allowing users to create, save, and share customized dashboards, improve collaboration, and streamline workflows.
Integrated alerting and reporting features, allowing users to configure email and Slack notifications for threshold violations and schedule automated report deliveries.
Adopted by 30+ application teams for log profiling, debugging, and analysis, enhancing operational workflows.
Boosted tool performance by 70% by integrating Redis as a caching layer, optimizing frequent user queries.

PythonReactJSLog ParsingAnalytics Infrastructure

Sprinklr

Product Intern

Jan 2024 – Jul 2024 · 6 mos · Bengaluru, Karnataka, India · Hybrid

Optimized Elasticsearch Cluster management across 8 environments, boosting query performance by 25% and improving stability through advanced monitoring.
Migrated all nodes from CentOS to RedHat Enterprise Linux, improving compatibility and addressing 15+ high-priority security issues.
Authored Python scripts to extract hardware details from 200+ GCP instances, refactored legacy Perl scripts for Elasticsearch, and reduced execution time by 35%
Automated Azure AKS Scaling Solution monitoring 8 clusters (4 production) every 5 minutes, increasing capacity by increments of 5 during spikes and triggering MongoDB-backed alerts

Python (Programming Language)ElasticsearchElasticsearch OptimizationInfrastructure Migration