Sarthak Aggarwal

Software Engineer

Noida, Uttar Pradesh, India3 yrs 2 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Expert in building scalable backend systems.
Proficient in optimizing database performance.
Skilled in developing event-driven architectures.

Stackforce AI infers this person is a Backend-focused developer in the Healthcare and SAAS industries.

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Skills

Core Skills

JavaSpring BootPostgresqlSpring Security

Other Skills

Amazon Relational Database Service (RDS)Amazon Web Services (AWS)Aspect-Oriented Programming (AOP)AsyncBack-End Web DevelopmentBig Data AnalyticsBlazorBootstrap (Framework)C#CSSData AnalysisData ValidationDeep LearningELK StackElastic Stack (ELK)

About

Java Backend Developer with 2.6 years of experience building scalable, high-throughput backend systems using Java, Spring Boot, Microservices, PostgreSQL, Redis, Kafka, and Docker. I specialize in designing robust REST APIs, optimizing database performance, and developing distributed, event-driven architectures. My work focuses on: • High-volume API development spanning thousands of requests per second • Performance optimization using Redis caching, batch processing, indexing, and DB tuning • Event-driven design with Kafka for reliable async workflows • Secure authentication & RBAC using Spring Security, JWT, and best-practice patterns • Scalable microservices with clean architecture, modular design, and CI/CD automation • End-to-end observability with Prometheus, Grafana, Jaeger, and ELK for real-time monitoring • Process automation and building backend workflows that reduce manual effort and improve reliability. I enjoy working on systems that require performance, accuracy, and reliability at scale, and I focus heavily on writing clean, maintainable code and solving backend bottlenecks. Passionate about debugging deep technical issues, optimizing slow APIs, and implementing production-grade engineering practices.

Experience

3 yrs 2 mos

Total Experience

1 yr

Average Tenure

2 yrs

Current Experience

Logicsoft - beyond hype

Java Software Developer

Jun 2024 – Present · 2 yrs · Gurugram, Haryana, India · On-site

QMS (Food Quality Management System)
Architected and deployed an Officer Transfer Management module reducing support tickets by 60% and managing 1,000+ personnel transfers monthly across 200+ laboratories and depots.
Formulated a high-throughput grain sample tracking system with PostgreSQL stored procedures and functions, processing 50,000+ samples monthly with precise unique identifier generation.
Designed and optimized RESTful APIs leveraging Java 8 streams, reducing data processing time by 45% and scaling to handle 1M+ daily requests.
Optimized application performance by implementing Redis caching (40% faster API response times) and batch processing (30% lower server load), while achieving a 95% improvement in issue resolution using the ELK Stack.
Collaborated with the DevOps team to implement and fine-tune a monitoring and observability stack using Prometheus, Grafana, ELK, Jaeger, and Alertmanager, enabling proactive issue detection and accelerating incident response by 50%.

JavaSpring BootPostgreSQLRedisELK StackPrometheus+2

Reshita

Software Engineer

Dec 2023 – May 2024 · 5 mos

MedTech Clinic Management System
● Designed , developed and led the migration of a robust MedTech platform for clinic management to a
microservices architecture resulting in a 40% improvement in scalability and a 30% increase in maintainability.
incorporating Java Spring Boot and MySQL.
● Engineered critical services such as OTP verification via SMTP and JWT token-based authentication via spring
security reducing login time by 50% and ensuring a 80% success rate in secure user access. Implemented features for clinic data management, appointment scheduling, and seamless PayPal integration for transactions,
producing a 35% reduction in administrative overhead and a 20% increase in transaction processing efficiency.
Internal Management System (IMS)
● Led the development of an agile Internal Management System featuring token and role-based authentication for enhanced security and improving overall system security and integrated Jaeger for comprehensive logging and monitoring, resulting in a 20% decrease in system downtime and enhancing performance
● Orchestrated seamless integration with Apache Kafka to enable real-time data streaming capabilities that reduced data processing time by 50% and improved data accuracy by 25%.
● Spearheading initiatives to establish a streamlined CI/CD pipeline for automated deployment and testing reducing deployment time by 30% , increasing release frequency leading to faster updates.

JavaSpring BootMySQLKafkaJWTSMTP

Puresoftware ltd

Graduate Engineer Trainee

Feb 2023 – Nov 2023 · 9 mos · Noida, Uttar Pradesh, India · On-site

● Frontend Development: Developed and executed user-friendly, visually captivating, and responsive interfaces across diverse projects utilizing React and Material UI, yielding a 25% increase in user interaction compared to prior interfaces.
● Backend Development: Applied Spring Boot to architect and deploy microservices for diverse projects,
leading to a 40% enhancement in system scalability, accommodating heightened user traffic seamlessly.

JavaSpring BootReactMaterial UI

Fouses

Web Development Intern

Jun 2021 – Jul 2021 · 1 mo · Remote

Training and Project:
Received training in HTML, CSS, JavaScript, and SQL.
Grouped into teams to develop a news app with Google Translation API, categorized news, and pagination.
Key Features:
Integrated Google Translation API for multilingual news access.
Implemented automatic news categorization and user-friendly pagination.

HTMLCSSJavaScript

Takenmind technologies

Data Analyst Intern

Oct 2020 – Nov 2020 · 1 mo · Remote

Executed diverse projects leveraging Python libraries and advanced concepts. The projects spanned
decision trees, confusion matrix, underfitting, overfitting, SVM, regression, and K-means clustering
across various domains.
Results included a remarkable 20% boost in customer retention for a marketing campaign, a substantial
15% cost reduction in production via predictive maintenance, and an impressive 25% enhancement in
resource allocation efficiency for a supply chain optimization initiative, thus empowering data-driven
decision-making across multiple scenarios.

PythonData Analysis