Rajveer Singh Panwar

Software Engineer

Jodhpur, India

#OpenToWork

About

I am a software engineer currently working at Webledger since August 2025, with experience starting from January 2025. My work spans over frontend and backend development, machine learning, and geospatial data analysis. My technical expertise includes building RESTful APIs with Adonis.js and SQL, developing frontend features using Vue.js and React, and working with cloud fundamentals on AWS. I have also developed machine learning models using Python and R for satellite data analysis and automated data preprocessing pipelines.

What I'm looking for

I'm looking for a full-stack developer role where I can take ownership of real products and contribute to meaningful, production-grade features from day one. I'm open to remote, hybrid, or on-site opportunities across India, preferably with a product-first or startup environment where I can grow fast, work across the full stack, and collaborate closely with founders or senior engineers. I thrive in fast-paced teams that value execution, clean code, and continuous learning.

Experience

Webledger

Software Engineer

Webledger

Aug 2025 – Present

• Worked as a Full Stack Engineer contributing to scalable frontend and backend features for financial, accounting, and compliance workflows. • Designed and developed RESTful APIs using Adonis.js and SQL for mobile and web applications; tested and documented APIs using Postman. • Built and maintained production features including Notice Management and Pricing Plan modules used by end customers. • Contributed to the Audit AI feature by integrating intelligent data processing and automation workflows. • Gained hands-on exposure to AWS fundamentals, including deployment concepts and basic cloud architecture.

Adonis.jsSQLVue.jsReach.jsaws

Project Engineer

Indian Space Research Organization (ISRO)

Jan 2025 – Jun 2025

• Worked on forest canopy height mapping using LiDAR and SAR satellite data for geospatial and ecological modeling. • Developed Random Forest machine learning models using GEDI LiDAR and ALOS PALSAR datasets to predict canopy height. • Automated large-scale data preprocessing and feature extraction pipelines using Python and R. • Analyzed geospatial datasets to support environmental monitoring and ecological planning research.

PythonRMachine Learning

Education

Parul University, Vadodara, Gujarat

Bachelor of Technology · Computer Science Engineering

2021 – 2025

Certifications

The Ultimate React Course 2025: React, Next.js, Redux & More

Udemy

2025 – No expiry

The Complete Full-Stack Web Development Bootcamp

Udemy

Skills

JavaScriptPythonMongoDBNext.jsExpress.jsNode.jsAdonis.jsReactVue.jsSQL

Languages

English (Full professional proficiency)Hindi (Native or bilingual proficiency)