Open to opportunities

aditya panda

@adityapanda

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Full Stack Software Engineer building event-driven Java microservices and AI-assisted platforms at scale.

India

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What I'm looking for

I’m looking to build reliable, scalable systems—event-driven Java microservices, cloud-native deployments, and practical AI-assisted features—where I can own performance, uptime, and clean APIs. I want strong engineering reviews and measurable impact.

I’m a Full Stack Software Engineer with 3+ years building scalable Java/Spring Boot microservices and event-driven systems that process 1M+ daily events. At Deloitte, I’ve owned Kafka-based pipelines and delivered sub-second latency across distributed carbon-emissions analytics workloads.

I’m hands-on with PostgreSQL schema design, indexing, and PL/SQL, using profiling and simulated load to eliminate bottlenecks. I’ve cut quotation turnaround time by 40% and improved query performance ahead of production rollout, while maintaining 99.5% uptime across 8+ containerized microservices with Docker, Kubernetes, Jenkins CI/CD, and Prometheus/Grafana monitoring.

Beyond backend, I build user-facing experiences with React and have delivered enterprise localization with full i18n support and reusable component libraries. I also integrate AI-powered backend services—Gemini/OpenAI for automated reporting and conversational support—so systems can move faster with more reliable outcomes.

Experience

Work history, roles, and key accomplishments

Current

Full Stack Software Engineer

Current

Deloitte

Apr 2024 - Present (2 years 2 months)

Built Kafka-based, event-driven Java/Spring Boot microservices to process 1M+ telemetry events with sub-second latency. Reduced quotation turnaround time by 40%, improved database performance using PL/SQL, and maintained 99.5% uptime across 8+ containerized services with Docker, Kubernetes, and Jenkins CI/CD.

Java Spring Boot Apache Kafka PostgreSQL Pl SQL Docker Kubernetes Jenkins CI

Software Engineer

SeekLMS

Jul 2023 - Dec 2023 (5 months)

Designed Java/Spring Boot microservices and REST API contracts to support 500+ concurrent users on a real-time music collaboration platform. Implemented Kafka event streaming with bidirectional WebSocket communication, reducing peak-traffic production errors by 35% and persisting 10K+ session events per user in MongoDB with schema versioning.

Java Spring Boot REST APIs Apache Kafka WebSockets MongoDB Multithreading Real Time Systems JWT

Software Engineer Intern

Invenio LSI

Aug 2022 - Mar 2023 (7 months)

Developed 20+ enterprise UI components in Angular and Ionic consuming RESTful Java backend APIs in an Agile team of 8. Built React frontend modules for an internal DevOps dashboard by collaborating with backend engineers to wire data integrations and integration workflows.