ninja1234
Software Intern
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I'm a Software Engineer with experience building scalable backend systems, full-stack web applications, and AI-powered solutions. I have worked across Java, JavaScript, Python, C++, React, and Next.js, with a strong focus on designing reliable, high-performance software.
I began my industry experience at Stable Money, a Bengaluru-based fintech startup, where I worked on distributed systems and developed production features used by millions of users. My work involved building scalable backend services, collaborating across teams, and contributing to systems designed for high reliability and performance.
In addition to my full-time roles, I have worked as a freelance software developer, building an automated data pipeline that scraped market data from the NSE using Python, stored it in AWS S3, and performed data analysis to generate actionable insights.
I have also explored modern AI application development, working with technologies such as LangChain, LangGraph, Retrieval-Augmented Generation (RAG), and LLM-based workflows to build intelligent applications.
Currently, I work as a Full Stack Developer at LumberFi, a fintech startup, where I develop backend services in Java and build modern frontend applications using JavaScript and Next.js. My work involves designing scalable APIs, developing user-facing features, and delivering end-to-end solutions for financial products.
I enjoy solving complex engineering problems, designing scalable distributed systems, and building software that has a real-world impact.
Experiece: 6 months
Yearly salary: $16,000
Hourly rate: $30
Nationality: 🇮🇳 India
Residency: 🇮🇳 India
Experience
Software Intern
Stable Money 2025 - 2025
Developed REST APIs using Kotlin enabling pagination and supporting internal tools and dashboards for streamlined data management. Built an interactive FD investment graph using D3.js, with dynamic tooltips controlled via CSS variables, enabling millions of users to track monthly growth instead of relying on email reports. Integrated Ujjivan Small Finance Bank into Stable Money, enabling onboarding for 50K+ users/month with secure iframe-based event handling. Built a reusable component library with Storybook, adopted across all frontend codebases spanning multiple tech stacks (Svelte, Next.js), eliminating redundant UI work across teams. Optimized responsive web applications, improving Google Lighthouse scores by 16% by reducing CLS, implementing lazy loading, and improving LCP. Contributed to migrating the internal tooling suite to a new platform, built the UI using Ant Design, managed routing with TanStack Router, and handled caching and data lifecycle using TanStack Query. Tech Stack: Svelte, Next.js, JavaScript, Kotlin, Spring Boot (basic), gRPC, Protobuf, PostgreSQL, Jenkins, Grafana.
Skills
java
javascript
python
english