--- title: "VIVEK KUMAR - Software Development Engineer II in Bengaluru | Tal" description: "Meet VIVEK KUMAR, Backend SDE II @ Zeta · Java · Spring Boot · Microservices · System Design · LLM/NLP based in Bengaluru. AI stack includes claude code, cursor, and hugging face. Explore public work links including github, medium, and leetcode." image: "https://tal.club/meet/vivek-kumar-7/share-image" --- # VIVEK KUMAR on Tal ## Headline Backend SDE II @ Zeta · Java · Spring Boot · Microservices · System Design · LLM/NLP ## About In coming future I will become Applied Machine Learning Engineer, currently I'm a Backend Software Development Engineer \(2 yrs\) passionate about building reliable, scalable, and efficient systems\. I take pride in delivering tasks on or before commitment dates by systematically breaking down complex problem statements into actionable subtasks\. Currently, I’m focused on: \- Ensuring on\-time delivery through effective task planning and execution under tight schedules\. \- Deepening my understanding of System Design principles and applying them in real\-world scenarios\. \- Writing comprehensive technical design documents prior to implementation to ensure clarity and alignment\. \- Driving projects independently while actively mentoring teammates and fostering collaboration\. \- Taking full ownership of system components and delivering end\-to\-end solutions\. \- Continuously learning through technical blogs and incorporating best practices into backend architecture and discussions\. Key Achievements: \- Achieved on\-call readiness and deep understanding of owned services\. \- Proactively took ownership of critical tasks and drove them to completion with high quality\. ## Location Bengaluru ## AI stack claude code cursor hugging face langchain langgraph obsidian ## Work experience Software Development Engineer II at Zeta, Jul 2026 \- Present · 2 mos, Bengaluru Software Development Engineer at Zeta, Aug 2024 \- Present · 2 yrs 1 mo, Bangalore Urban, Currently Working As A Backend Engineer In Operations Center Team \(CTO Office\)\. ● Improved API performance by integrating Caffeine cache, leading to an approximate 100 ms reduction in API response time and significantly enhancing the user experience\. ● Enhanced bulk workflow efficiency by refactoring Camunda BPMN workflows with asynchronous execution, resulting in reduced processing times and fewer API timeout errors\. ● Streamlined the development lifecycle by automating test suite checks using Jenkins pipelines and Flyway, reducing developer testing time and improving code quality\. ● Enhanced runtime performance by migrating legacy services to Spring Boot 3\.2 and JDK 17, also resolving backward compatibility issues\. ● Facilitated smoother system integration by designing and deploying Spring Boot RESTful APIs, streamlining cross\-service data exchange and improving request throughput\. ● Improved software quality by increasing unit and integration test coverage for key Spring Boot services, resulting in a notable reduction in post\-release defects\. ● Remediated Snyk security vulnerabilities \(SAST and SCA\) across three microservices, ensuring robust security compliance\. Software Development Engineer Intern at Zeta, Jan 2024 \- Jul 2024 · 7 mos, Bengaluru, Karnataka, India Martian Summer Intern at Persistent Systems, Jun 2023 \- Aug 2023 · 3 mos, Pune, Maharashtra, India, ● Completed learning modules and developed practical skills through hands\-on exercise covering Linux administration, operating system principles, relational database management systems, efficient data structures, algorithms, and Python programming\. Machine Learning Engineer Intern at PipeIQ, May 2023 \- Aug 2023 · 4 mos, Palo Alto, California, United States, Member Of The Founding Team ● Conducted research and experiments on utilizing numerous open source LLM models, to effectively use their application\. ● Automated the development stage of pipelines \(which will be utilized by various B2B companies\), by using different Amazon Web Services \(AWS\) Lambda, Sagemaker, S3\. ● Collaborated with the team on the Integration of API of different SaaS platforms like Hubspot, Sendgrid\. ● Enriched the existing Code by optimizing it using Prompt Engineering techniques and worked on prompt engineering using models like GPT\-4 and GPT\-3\.5\. ● Leveraged Huggingface’s custom deployed transformer model to perform sentiment analysis on text data, resulting in a 20\.5% increase in accuracy\. ● Learned agile software development using JIRA, enhanced communication capabilities, and collaboration skills\. Machine Learning Intern at Suvidha Foundation \(Suvidha Mahila Mandal\), May 2023 \- Jun 2023 · 2 mos, Pune, Maharashtra, India, ● Implemented the research paper titled "Get To The Point: Summarization with Pointer\-Generator Networks" and successfully developed a working model based on Pointer\-Generator Networks for the purpose of abstractive text summarization\. Machine Learning Tutor at TutorBin, Nov 2022 \- Dec 2022 · 2 mos, Pune, Maharashtra, India, ● Resolved problem and issues related to machine learning and deep learning concepts in projects and assignments and coded architecture of different model from scratch\. ## Education Bachelor of Engineering \- BE, ELECTRONIC AND TELECOMMUNICATIONS, Army Institute of Technology, Pune General Studies, Allen ## Public links - github: https://github\.com/velvrix - medium: https://medium\.com/@velvrix - leetcode: https://leetcode\.com/velvrix - youtube\.com: https://youtube\.com/@velvrix [View the original profile](https://tal.club/meet/vivek-kumar-7) ```json { "@context": "https://schema.org", "@graph": [ { "@type": "Person", "@id": "https://tal.club/meet/vivek-kumar-7#person", "name": "VIVEK KUMAR", "url": "https://tal.club/meet/vivek-kumar-7", "image": "https://tal.club/meet/vivek-kumar-7/profile-photo.jpg", "description": "Meet VIVEK KUMAR, Backend SDE II @ Zeta · Java · Spring Boot · Microservices · System Design · LLM/NLP based in Bengaluru. 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