---
title: "Aditya Vamsi - Software Development Engineer - 1 (Via Hummingwave) in Bengaluru | Tal"
description: "Meet Aditya Vamsi, SDE-1 @LendingKart | Java | Spring Boot & Microservices | DSA | System Design | Ex-Wipro based in Bengaluru. AI stack includes gemini. Explore public work links including leetcode."
image: "https://tal.club/meet/chatti-venkata-sai-aditya-vamsi/share-image"
---

# Aditya Vamsi on Tal

## Headline

SDE\-1 @LendingKart \| Java \| Spring Boot & Microservices \| DSA \| System Design \| Ex\-Wipro

## About

Results\-driven SDE\-1 with hands\-on experience building scalable microservices, high\-throughput event\-driven systems, and secure backend architectures at Lendingkart \(via Hummingwave\) and Wipro\. Passionate about optimizing system performance, streamlining data pipelines, and writing clean, maintainable code\. Proven track record of accelerating data availability by 50% using automated cron jobs, managing 40K\+ daily events via Kafka integrations with dynamic feature flags, and cutting cloud storage costs by 30% through legacy data migrations to modern data lakes and the UNCIA platform\. Core Technical Stack: Languages: Java, C\+\+, SQL, HTML Backend: Spring Boot, Spring MVC, REST APIs, Spring Data JPA, Kafka, Redis, Microservices DevOps & Tools: Docker, Kubernetes, HashiCorp Vault, Git, PostgreSQL, MySQL, Postman, JIRA Observability: Grafana, SonarQube Strong foundation in computer science fundamentals, OOPS, data structures and algorithms \(DSA\), and system design\. Always eager to collaborate with cross\-functional teams to solve complex engineering challenges and deliver resilient, zero\-downtime production deployments\.

## Location

Bengaluru

## AI stack

gemini

## Work experience

Software Development Engineer \- 1 \(Via Hummingwave\) at Lendingkart, Mar 2026 \- Present · 7 mos, Bengaluru, Karnataka, India, • 50% faster data availability by architecting 10\+ automated cron jobs that perform incremental extraction across SQL and NoSQL microservices for real\-time reporting\. • Streamlined secure backend frameworks by implementing robust role\-based access control \(RBAC\), collaborating closely with cross\-functional teams, and executing rigorous API security testing\. • 100% bug resolution rate by diagnosing and fixing critical production defects across integrated microservices, ensuring zero\-downtime deployment with high operational resilience\. • 40K\+ daily events handled by developing a high\-throughput Kafka integration with dynamic feature flags, enabling scalable and conditional data routing\. • Accelerated development workflow and code quality by leveraging enterprise\-authorized AI coding assistants \(e\.g\., Gemini, Copilot\) for code generation, refactoring, and unit test creation, rigorously validating outputs through peer review and secure coding standards\. • 30% reduction in storage costs by collaborating with DevOps and Data Engineering teams to migrate legacy MongoDB data flows to a streamlined data lake architecture\. • Accelerated automation workflows by serving as a core migration lead in transitioning the company’s primary data flow and storage systems to the UNCIA platform\. • 30% reduction in email template rendering latency by offloading complex validation checks and conditional logic from real\-time templates to optimized backend services\.

Health and well\-being at Career Break, Aug 2025 \- Feb 2026 · 7 mos, Visakhapatnam, Andhra Pradesh, India

Software Engineer at Wipro, Apr 2023 \- Jul 2025 · 2 yrs 4 mos, • Developed an efficient search functionality utilizing an optimized data structure, significantly reducing search time complexity for large datasets and improving backend query performance for product discovery features\. • Contributed to the development of a backend ”Contact Us” module using Java and Spring Boot, applying SOLID principles and design patterns to support high\-scale merchant onboarding platforms\. • Identified and resolved database performance bottlenecks by optimizing SQL queries and ORM configurations, which collectively improved query response times by approximately 50%\. • Implemented secure authentication flows using JWT and managed role\-based access control at the backend layer, ensuring enterprise application security and thorough REST API debugging via log analysis tools\. • Assisted in the migration of legacy local file storage to Amazon S3, refactoring backend services to utilize the AWS SDK, which improved system reliability and reduced local server disk utilization by 40\.

## Education

Software Development Programme, Computer Science, Bosscoder Academy

Bachelor of Technology \- BTech, Mechanical Engineering, Anil Neerukonda Institute of Technology & Sciences

## Public links

- leetcode: https://leetcode\.com/chvamsiaditya33

[View the original profile](https://tal.club/meet/chatti-venkata-sai-aditya-vamsi)

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