Serjeel Ranjan

About Serjeel Ranjan

I’m a Full Stack Developer at Delhivery, working on the Core Operating Systems that powers one of India’s largest logistics networks. My work centers on understanding operational challenges and translating them into robust, scalable solutions that improve delivery speed, reliability, and ultimately customer satisfaction. Whether it’s collaborating with ops teams to refine workflows or fine-tuning system performance during peak loads, I care deeply about building tech that solves real business problems.With over 3 years of experience in full-stack development, I’ve designed and deployed microservices architectures serving thousands of daily users, integrated AI services (OpenAI, Hugging Face) to simplify decision-making, and optimized high-throughput pipelines with Kafka and RabbitMQ to ensure reliability at scale. I’ve also explored decentralized finance, contributing to projects on the Fantom Opera blockchain where I honed my skills in performance optimization and security—principles I now apply across industries. Beyond engineering, I’m passionate about empowering people with technology. As a Teaching Assistant at Scaler Academy, I’ve mentored professionals, helping them break down complex coding challenges into practical, elegant solutions. Whether building intuitive UIs with React, designing efficient backends in Node.js, Python, and Go, or deploying resilient cloud-native systems on AWS, I thrive in fast-paced environments where technical creativity meets business impact. Explore my work on GitHub: github.com/Serjeel-Ranjan-911

Experience

1. Full Stack Developer

   Delhivery

   Sep 2025 — Present · Gurugram, IN

   Maintain and optimize high-performance geofence and movement-tracking services handling real-time spatial computations for thousands of concurrent devices using distributed microservices and advanced geometric algorithms- Enhance and monitor event-driven data processing pipelines leveraging Kafka, Elasticsearch, and geospatial algorithms (polygon containment, geohash indexing) to ensure sub-second latency and reliable geofence violation detection- Support and improve large-scale event-sourcing and state management platforms built on Kafka, Redis, and Elasticsearch, ensuring 99.99% uptime, consistent data synchronization, and complete auditability across services- Maintain and fine-tune distributed job scheduling and reliability frameworks using Redis, Kafka, and DynamoD, implementing fault-tolerant mechanisms, execution accuracy monitoring, and performance optimizations that reduced operational costs by 40%.

Education

• Kumaraguru College of Technology

  Bachelor of Engineering - BE, Computer Science

  2019 — 2023