Adarsh Pandey

Software Developer
Pune, IN.

About

Results-driven Backend Developer with over 5 years of experience in architecting scalable, high-performance APIs and event-driven microservices. Expert in Spring Boot, gRPC, Docker, and Kafka, with a proven track record of optimizing system performance, reducing API payload size by 60%, and achieving sub-50ms response times. Passionate about building robust, efficient backend systems, mentoring developers, and exploring innovative AI integrations to deliver complex cloud-native solutions.

Work

Citi Bank
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Backend Developer

Summary

Currently serving as a Backend Developer at Citi Bank, responsible for architecting and optimizing high-performance microservices and event-driven systems to ensure robust financial technology solutions.

Highlights

Developed and deployed Dockerized microservices using Spring Boot, gRPC, and GraphQL on Red Hat OpenShift, achieving sub-50ms latency for critical financial workflows.

Architected and implemented Kafka-based event-driven architectures, facilitating asynchronous communication across 10+ microservices and enhancing system resilience.

Improved backend performance by 50% through advanced indexing in MongoDB and Oracle, coupled with Hazelcast distributed caching on OpenShift.

Led the design and implementation of a multi-region onboarding system, scaling to handle thousands of concurrent users with sub-second latency.

Mentored junior developers on API design, coding standards, and Red Hat containerization best practices, significantly improving team efficiency and code quality.

Tata Consultancy Services
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Backend Developer

Summary

Contributed as a Backend Developer at Tata Consultancy Services, focusing on modernizing legacy systems and optimizing data processing pipelines to enhance system performance and reliability.

Highlights

Modernized legacy SOAP-based systems by migrating to RESTful APIs, reducing system response times by 35% and improving interoperability.

Designed and implemented a high-performance API gateway to effectively manage substantial traffic volumes and prevent service overloads.

Optimized MongoDB aggregation pipelines, significantly reducing report generation time from 10 seconds to 2 seconds (an 80% improvement).

Education

Amity School of Engineering and Technology

Bachelor of Technology

Computer Science and Engineering

Skills

Technologies

Spring Boot, gRPC, GraphQL, Docker, Kubernetes, Kafka, Avro, Hazelcast, OpenShift (Basic), Red Hat AMQ.

Databases

MongoDB, Oracle, Azure Cosmos DB, Query Performance Optimization.

Tools

Java 8+, JUnit, Git, Maven, Jenkins, Helm, Podman, IntelliJ IDEA, Postman.

Architecture

Event-Driven, Distributed Caching, Cloud-Native Design, RBAC.

AI Integration

Hugging Face APIs, Model Inference, AI Pipelines.

Projects

AI Portrait Generation System

Summary

Developed an AI-powered system for generating portraits, leveraging advanced models and secure API integrations.