Yashwanth k

Software Engineer

Bengaluru, Karnataka, India5 yrs 8 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Built scalable backend systems for high-demand applications.
Expert in microservices and system design principles.
Proven track record in optimizing system performance.

Stackforce AI infers this person is a Backend Software Engineer with expertise in E-commerce and SaaS architectures.

Contact

yashk.edu@gmail.com LinkedIn

Skills

Core Skills

MicroservicesSystem DesignData Engineering

Other Skills

Spring BootPostgreSQLJavaApache KafkaElasticsearchRedisREST APIsRabbitMQApache AirflowHDFSSparkBERT (Language Model)Named Entity Recognition (NER)Low-Level DesignHigh-Level Design

About

Backend Software Engineer with 4+ years of experience building scalable, distributed systems at production scale. I've worked across the full spectrum from designing event-driven architectures and payment platforms to building real-time inventory systems and high-throughput data pipelines. My work has primarily involved solving problems around system reliability, latency optimization, and making services that don't break under pressure. At TCS, I worked on Apple's enterprise support platform, building backend services and data pipelines that powered customer-facing workflows at scale. After that, I spent 3+ years building core e-commerce infrastructure, payments, orders, and inventory from the ground up using microservices. Tech I work with daily: Java · Spring Boot · PostgreSQL · Redis · Kafka · Elasticsearch · Docker · AWS · Microservices · System Design I enjoy thinking about trade-offs — consistency vs availability, sync vs async, monolith vs microservice, and picking what actually fits the problem. Open to backend / SDE roles where engineering depth and system design thinking are valued. 📩 yashwanthkrishne@gmail.com 💻 github.com/Yashwanth-K

Experience

5 yrs 8 mos

Total Experience

1 yr 9 mos

Average Tenure

3 yrs 10 mos

Current Experience

Winon wings india private limited

Software Engineer

Aug 2022 – Present · 3 yrs 10 mos · Bengaluru, Karnataka, India · On-site

Developed an event-driven order processing system supporting 100–150 orders/min with 99.5% uptime, reducing average order confirmation latency from 3.2s to 1.3s (60% improvement) using Springboot, PostgreSQL, and Elasticsearch
Built a multi-tenant payment orchestration platform processing $100K monthly order value and 2K transactions/day across 3 PSPs (Razorpay, Stripe, PayU), achieving 99.5% payment success rate and eliminating duplicate charge issues using Redis-based idempotency keys.
Implemented distributed saga orchestration, coordinating 5 to 6 microservices with less than 300ms inter-service latency, reliably processing 10K daily transactions with automated compensation handling for failed workflows.
Designed a real-time inventory reservation system using Redis distributed locks and optimistic locking (PostgreSQL versioning) to handle 800–1,200 concurrent reservation requests, eliminating overselling during peak traffic and improving inventory accuracy from 95% to 99%.

Spring BootPostgreSQLJavaApache KafkaMicroservicesElasticsearch+1

Tata consultancy services

Software Developer

Mar 2021 – Aug 2022 · 1 yr 5 mos · Bengaluru, Karnataka, India · Remote

Contract @ Apple

Apple

Software Developer

Mar 2021 – Aug 2022 · 1 yr 5 mos · Bengaluru, Karnataka, India · Remote

● Built backend service processing 50K+ daily chat transcripts using Java and Spring Boot, exposing APIs with sub-second latency. Improved throughput using Redis caching and connection pooling to handle 10K requests/hour during peak traffic.
● Designed advisor-assignment engine using rule-based matching algorithms, routing 15K+ daily support requests via RabbitMQ queues, improving average response time by 35%, and reducing advisor idle time by 20%.
● Contributed to a high-throughput data processing pipeline handling 2M+ daily messages using Apache Airflow for orchestration, HDFS for storage, and Spark for batch processing across a multi-stage workflow.
● Optimized backend processing logic using Java ExecutorService for parallel execution and PostgreSQL incremental checkpointing, increasing throughput by ≈2x and reducing manual operational overhead with checkpoint recovery.
● Developed an issue detection service in Python, analyzing 100K+ monthly VOC case notes, implementing structured logging with ELK Stack and MySQL, improving processing stability and observability for enterprise support workflows.

JavaSpring BootREST APIsRedisMicroservicesSystem Design