Hello, I'm

Pranav Sagar
|

Backend Software Engineer with 2+ years of experience building scalable microservices using Java and Spring Boot. Delivered 35-60% cost reductions, handling 800K+ QPS serving 100M+ users at Glance, InMobi.

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About Me

Backend Software Engineer at Glance, InMobi with 2+ years of experience building scalable microservices using Java and Spring Boot. Experienced in distributed systems, Kafka-based event processing, and PySpark data pipelines serving 100M+ users.

I architect and develop high-performance systems handling 800K+ QPS with under 30ms p95 latency. Delivered 35-60% cost reductions, built reusable frameworks adopted across multiple teams, and designed event-driven architectures with zero-downtime migrations using Kafka, Redis, Aerospike, and gRPC.

Specialties: Microservices Architecture, Event-driven Systems, Distributed Tracing, Performance Optimization, System Design, Data Pipelines, and DevOps.

Technical Skills

Technologies and tools I work with

Backend & Frameworks

Java Spring Boot Kafka Kafka Streams gRPC Protobuf

Data Processing

Apache Spark PySpark ETL Pipelines Batch Processing

Databases & Caching

Redis Aerospike PostgreSQL MySQL ClickHouse

Infrastructure & DevOps

Kubernetes Docker Helm GCP (GKE) CI/CD Pipelines

Monitoring & Observability

Prometheus Grafana Distributed Tracing JVM Profiling

System Design

Microservices Architecture Event-driven Systems Circuit Breaker Dual-Write API Versioning

Experience

My professional journey

2023
SDE 1 - Backend Developer
Glance, InMobi — Bengaluru, IN
  • Architected and built content enrichment microservice (Java/Spring Boot) from scratch handling 800K+ QPS with under 30ms p95 latency using Kafka, Protobuf, Redis, Aerospike serving 100M+ users
  • Designed dual-write architecture with protocol adapter enabling zero-downtime migration and seamless integration of new data sources across distributed systems
  • Optimized PySpark pipelines reducing compute costs by 35% through DataFrame caching and fixed production memory leak using heap dump analysis
  • Built dynamic configuration service with gRPC powering 10+ microservices, eliminating hardcoded configs and enabling semantic versioning for backward-compatible rollouts
  • Created reusable observability framework with gRPC interceptors and Prometheus metrics adopted across 5+ services; built cache layer reducing API costs by 60%
  • Deployed release automation platform (Python/Flask) on GKE with Helm and CI/CD pipelines reducing deployment time by 90%
JavaSpring BootKafkagRPCProtobufRedisAerospikePySparkKubernetesGCPPrometheusGrafana
2022
ML Engineering Intern
Celebal Technologies — Jaipur, IN
  • Built video recommendation system using machine learning techniques, processing user interaction data to generate personalized recommendations and improving click-through rate (CTR) by 1.4%
PythonMachine LearningRecommendation SystemsData Processing

Education

M.Tech. Artificial Intelligence & Machine Learning
BITS Pilani (Work Integrated Learning Programme)
April 2026 - Present
Bachelor of Technology in Computer Science
Rajasthan Technical University
Aug 2019 - July 2023 | CGPA: 9.10 / 10.00
🥈 Silver Medalist

Achievements

🏆 Avengers Award

Glance (InMobi) - Company recognition for exemplary teamwork and collaboration

🥈 Silver Medalist

Rajasthan Technical University (CGPA: 9.10/10.00)

📜 Microsoft Certified

Azure AI Fundamentals and Azure Data Fundamentals

💻 LeetCode Rating 1577

Globally top 25% - Strong data structures and algorithms proficiency

🥈 Smart India Hackathon 2022

Runner-Up - National level competition by Govt. of India

Let's Connect

You can reach out to me using any of the channels below

LinkedIn pranav.sagar@outlook.com GitHub Medium LeetCode