Backend developer | Frappe & ERPNext | Python | MySQL/MariaDB | NodeJS | Java
Backend Developer (SDE-1) at SocialAngel, working with Python, Frappe Framework, and ERPNext to build reliable and scalable backend systems. I work on server-side development, ERPNext customizations, and REST API creation, translating business requirements into clean, maintainable backend logic. My day-to-day involves working with custom doctypes, Frappe ORM, workflows, permissions, and database-driven features. Tech I work with: • Python • Frappe Framework & ERPNext • Backend Development • REST APIs • Frappe ORM & Custom Doctypes • MySQL / MariaDB • Git & Postman Always curious, always learning, and focused on becoming a better backend engineer every day.
SocialAngel
Jan 2026 - Apr 2026 · Noida
DataCouch
Apr 2025 - May 2025 · Mohali
Built chatbot and automation workflows using LangChain and Langflow on LLM APIs. Integrated Google Drive APIs with document parsing to create an internal knowledge retrieval system and authored technical documentation and blogs.
DRDO, Ministry of Defence, Govt. of India
Jul 2024 - Aug 2024 · Agra, Uttar Pradesh, India
Glamwood Interiors
May 2024 - Aug 2024 · Bengaluru, Karnataka, India
SocialAngel
Jan 2026 – Apr 2026 · Noida, India
Developed 10+ REST APIs for data creation, retrieval, and reporting, reducing manual operational effort by approximately 30%. Built backend features with Python and Frappe, engineered ERPNext DocTypes and server scripts, and optimized MariaDB queries and backend logic to improve API response times by 20–25% in production.
DRDO – ADRDE
Jul 2024 – Aug 2024 · Agra, India
Built a desktop Inventory Management System using Flask, SQLite, and Tkinter, including stock updates, low-stock alerts, order management, and product categorization. Assisted with OpenCV image-processing research for feature extraction from biometric fingerprint data.
Glamwood Interiors
May 2024 – Aug 2024 · Bangalore, India
Built an employee management system with attendance tracking, leave management, and HR features. Created a React.js and Node.js analytics dashboard backed by MongoDB, improving data visibility by 40%, and implemented role-based access control with Keycloak and Okta.
Bachelor's degree, Information Technology
Sep 2021 - May 2025
Bachelor of Technology - BTech, Computer Software Engineering
Oct 2021 - May 2025
GPA: 8.62 / 10
Intermediate, Science
Mar 2020 - Mar 2021
High School, Science
Mar 2018 – Mar 2019
Developed a B2B2C transport aggregation and booking platform using React.js, Node.js, Express.js, MongoDB, and Razorpay. Implemented role-based workflows for customers, fleet operators, and administrators; real-time seat mapping and reservations; an operator dashboard for 20+ vehicles; and payment processing with automatic MongoDB updates.
Built a CNN model to predict blood groups from fingerprint images with 92% accuracy. Processed 500+ samples using OpenCV, compared CNN and ANN performance, and deployed the model through a Flask REST API for real-time web predictions.
Built an NLP text-classification pipeline using TF-IDF, Logistic Regression, and Random Forest. Implemented tokenization, stopword removal, stemming, model evaluation, algorithm comparison, and hyperparameter tuning on a real-world news dataset.
Built a React.js visualizer for Bubble, Merge, Quick, and Insertion Sort with real-time animations, adjustable speed and array size controls, and step-by-step time and space complexity breakdowns.