Open to opportunities

Naveen Kumar

@naveenkumar29

Software engineer specializing in distributed backend systems, performance optimization, and event-driven data pipelines.

India

Message

What I'm looking for

I’m looking for a backend role where I can own distributed performance and reliability improvements, build event-driven data pipelines, and grow in cloud-native engineering with strong engineering rigor and measurable impact.

I’m a software engineer focused on building and scaling distributed, event-driven backend systems that are measurable, reliable, and fast. I enjoy turning performance and stability issues into structured improvements—profiling, load testing, and operational hardening.

At Tekion, I scaled a platform across 20+ microservices by driving coordinated performance testing to pinpoint high-impact APIs and async flows. I also reduced AWS spend by 45% for the Integration Team by right-sizing workloads, tuning RDS storage, adding auto-scaling, and migrating a caching layer from Redis to Valkey.

Previously at Porter, I built and scaled the Porter Prime Program across 10+ cities using Kotlin, Redis, Appsmith, and PostgreSQL—improving unit economics while supporting seamless integration with Trucks and 2W teams. I also led a scalable events data pipeline with Pub/Sub, Apache Kafka, Protobuf, and Snowflake to enable near real-time analytics and support meaningful improvements in driver onboarding funnel conversion.

I bring a strong engineering foundation from Java/Kotlin backend development (REST APIs, async jobs, caching, and uptime-focused operational practices) and from data/ML exposure through a research internship using LSTM-based analysis. I care about clean, testable systems—evidenced by my JUnit/Mockk test-suite work achieving 80%+ coverage—and I’m excited to keep shipping robust backend capabilities in cloud-native environments.

Experience

Work history, roles, and key accomplishments

Current

Software Engineer (IC2)

Current

Tekion

Jul 2025 - Present (11 months)

Scaled a distributed platform across 20+ microservices by driving coordinated performance testing, improving load capacity by 3–5x through bottleneck optimization in threading, DB connections, and consumer parallelism. Cut AWS spend by 45% (~₹20L/month) by right-sizing EC2/container workloads, tuning RDS storage, implementing autoscaling, and migrating Redis caching to Valkey.

Microservices Performance Testing AWS RDS SQS Kafka OpenSearch Redis Valkey AutoScaling

Software Dev Engineer II

Porter

Jul 2023 - Jul 2025 (2 years)

Built and scaled the Porter Prime Program across 10+ cities using Kotlin, Redis, Appsmith, and PostgreSQL, contributing a 1.5% gross margin increase and ~₹30M (3 Cr+) in incremental revenue. Implemented an events data pipeline with Pub/Sub, Apache Kafka, Protobuf, and Snowflake to enable near real-time analytics and support a targeted 50% improvement in driver onboarding funnel conversion.

Kotlin Redis Appsmith PostgreSQL Pub Sub Apache Kafka Protobuf Snowflake Event Streaming Data Pipelines

Research Intern

DRDO - Scientific Analysis Group

Jan 2019 - Feb 2019 (1 month)

Led a team of 4 interns on a machine learning project to evaluate randomness of cipher-generated bits by transforming 2.5M bits into structured datasets and applying an LSTM model for predictive analysis. Improved the accuracy of randomness detection using the designed algorithm and model pipeline.

Machine Learning Cipher Analysis data transformation Algorithm Design Team Leadership

Software Dev Engineer I

Porter

Developed the Engagement microservice from scratch with RESTful APIs, YouTube Data API integration, user management, and asynchronous job processing using Kotlin, Ktor, AWS ECS, and SQS. Improved API performance with Redis caching and query optimization to reduce p99 latency by 6x, while adding pagination and stabilizing the service to achieve 99.5%+ uptime.