Shlok Kadakia
Backend / Full Stack Engineer | Java, Spring Boot, Microservices, AWS, PostgreSQL | High-Scale Distributed Systems | 4+ Years Experience
- Role
- Software Engineer at DoorDash
- Location
- Chicago, IL, US
- LinkedIn followers
- 500 followers
About Shlok Kadakia
Full Stack Software Engineer with 4+ years of experience building scalable, cloud-native applications using Java, Spring Boot, React, and AWS. I specialize in designing microservices architectures, optimizing backend performance, and delivering high-impact enterprise solutions that support real-time business decision-making.Currently working at DoorDash, I develop backend services that process millions of delivery records daily to improve partner allocation and operational efficiency. My work includes event-driven architectures with Kafka, secure API design, and performance optimization across distributed systems.Key strengths: Microservices & Distributed Systems Backend Engineering (Java, Spring Boot, REST APIs) Cloud & DevOps (AWS, Docker, CI/CD) Database Performance Optimization (PostgreSQL, MySQL) Secure & Scalable System DesignI enjoy solving complex engineering problems, improving system performance, and collaborating with cross-functional teams to build impactful products.Open to Software Engineer / Backend / Full Stack opportunities globally.
Experience
Software Engineer
Apr 2024 — Present · US
Designed and developed backend microservices using Java 11, Spring Boot, and Spring MVC to evaluate delivery partner eligibility based on historical order fulfillment and behavioral performance datasets- Built and consumed RESTful APIs to ingest transactional partner activity data from order lifecycle systems, integrating eligibility scoring services with internal dispatch platforms- Implemented performance-based partner scoring logic using Hibernate/JPA with PostgreSQL, processing 1.5M+ partner delivery records daily, enabling real-time dispatch prioritization- Optimized SQL aggregation queries and indexing strategies on AWS RDS, improving partner eligibility computation time by 32% across high-volume operational workloads- Integrated Apache Kafka for asynchronous event-driven pipelines, enabling near real-time updates to partner performance ratings during peak delivery periods- Developed role-based access control using Spring Security and OAuth2, ensuring secure partner evaluation services in compliance with data governance policies- Created automated unit and integration test suites using JUnit and Mockito, integrated with Jenkins-based CI/CD pipelines, reducing deployment defects by 40%- Collaborated with Logistics Operations, Product Owners, and Fraud Prevention teams in Agile Scrum environments to refine scoring thresholds, improving delivery partner allocation accuracy by 27%.
Education
DePaul University
Master's degree, Computer Science
Navrachana University
Bachelor of Technology - BTech, Information Technology
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