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