Crafting full-stack systems that sense, serve, and scale.
A generalist based in India. I build solutions across software, hardware, and automation without tech stack boundaries.
About Me
I'm Nikhil Verma, a software engineer from India passionate about building impactful software. I thrive on problem-solving and enjoy turning ideas into real-world applications. I've worked on a range of projects, from Android apps and automation scripts to full-stack web platforms and open-source contributions, each helping me sharpen my skills and explore new technologies. My core stack includes Android (Java), React, Next.js, TypeScript, and I’m also familiar with Node.js, MongoDB, Firebase, and Prisma. I love experimenting with new tools and frameworks to create solutions that are both functional and user-friendly.
I'm open to Job opportunities where I can contribute, learn and grow. If you have a good opportunity that matches my skills and experience then don't hesitate to contact me.
My Experience
Professional experience that I have accumulated.
SDE Intern (Remote)
Designed and implemented an algorithm to generate 93 million unique, human-readable simulation names, eliminating manual input and improving AI training workflow traceability. Identified a security vulnerability caused by an unsecured Redis connection and implemented TLS-based secure communication between backend services, mitigating MITM risks. Fixed theme inconsistency and improved responsiveness by making dashboard components fully mobile-friendly.
Fullstack Developer Intern (Hybrid)
Architected, developed, and deployed full-stack production platforms including learnocept.in, mynirdeshak.com, and rupeefunda.com.
At RupeeFunda, I handled production deployment, server configuration, and ongoing maintenance to ensure reliability and uptime. For Mynirdeshak, I collaborated on frontend development while independently designing and implementing the complete backend architecture, including secure REST APIs, asynchronous background workers for PDF report generation, and end-to-end deployment. At Learnocept, I contributed across backend development, deployment, and frontend collaboration, working on video-based learning features, user progress tracking, and platform scalability.
Recent Projects
My recent projects. Click on image to view live hosted, github and other links
LLM Confidence Calibration Benchmark
Developed a comprehensive evaluation framework to analyze whether modern open-source LLMs are well-calibrated. Analyzed calibration variance across reasoning, common sense, and factual truthfulness, providing actionable insights for model reliability.
DineLine – Digital Queue Management Platform
A production-ready digital queue management system for restaurants with real-time waitlists, automated notifications, admin dashboards, and a RAG-powered assistant for operational insights. Designed for multi-restaurant scalability.
Get In Touch
Please contact me directly at nikhil2003verma@gmail.com or through this form.