Headline

SDE-1 @ Airtel Digital | Backend Engineer | Java, Spring Boot, Microservices, Distributed Systems | IIIT Gwalior ’25

About

Building scalable backend systems and solving complex engineering problems is what excites me most. At Airtel Digital, I build Java Spring Boot microservices powering the Airtel Thanks ecosystem, supporting OTT benefit management, partner integrations, and real-time customer experiences for 150M+ users. My work focuses on designing scalable services, optimizing system performance, and building backend platforms that can handle growing business and traffic demands. I've worked on high-impact initiatives including optimizing MongoDB architectures for workloads targeting 900 TPS, automating operational workflows that reduced manual effort by 90%, and building systems that improved performance while reducing infrastructure load. I enjoy solving problems that sit at the intersection of scalability, reliability, and engineering efficiency. My technical experience spans Java, Spring Boot, Django, FastAPI, Redis, MongoDB, PostgreSQL, Docker, and AWS, with hands-on exposure to microservices, cloud infrastructure, CI/CD, caching strategies, distributed workflows, and production-grade backend systems. Outside of work, I'm passionate about problem-solving and continuous learning. I've solved 700+ DSA problems, ranked among the Top 10% globally on LeetCode, and spend a significant amount of time studying distributed systems, system design, and backend architecture. I'm always interested in connecting with engineers, builders, and teams working on large-scale systems and challenging backend engineering problems. Feel free to reach out.

Location

Pune District

AI stack

claude code

cursor

github copilot

ChatGPT

Work experience

Software Engineer 1 at Airtel Digital, Jul 2025 - Present · 1 yr 2 mos, Pune District, • Working on backend engineering for scalable Java Spring Boot microservices powering the Airtel Thanks App, supporting OTT benefits, partner integrations, and real-time customer notifications for 150M+ users.

Software Developer Intern at Alemeno, Dec 2024 - Jun 2025 · 7 mos, Gwalior, • Built and deployed 3+ Django applications with features like blog management using Wagtail CMS, DigitalOcean Spaces integration, and secure file handling, enhancing platform functionality and user engagement. • Designed and implemented advanced Redis caching with automatic cache invalidation via Django signals, improving API response times and reducing server load by up to 60%. • Built and deployed Docker Swarm pipelines, streamlining CI/CD processes and reducing deployment time by 50%. • Integrated Sentry for real-time error tracking, reducing production issue resolution time, improving system reliability.

Backend Developer Intern at MakDesign, May 2024 - Jul 2024 · 3 mos, Bhopal, • Developed a collaborative task management system using Django, creating secure RESTful APIs. • Integrated a notification module to enhance team communication and automate task assignments. • Automated daily test result reporting with Cron Jobs, boosting workflow efficiency by 50%. • Led the app deployment process and configured CI/CD pipelines for seamless updates and faster releases.

Software Developer Intern at Devion Studios, Jul 2023 - Oct 2023 · 4 mos, Kolkata, West Bengal, India, • Designed and optimized backend routes using FastAPI and SQLAlchemy, enhancing data retrieval efficiency. • Collaborated with frontend developers to integrate backend services with a ReactJS frontend, improving data communication. • Increased data access speeds by up to 90%, ensuring smooth operations across diverse database systems.

Data Science Intern at University of Sydney & IIIT Gwalior, Jan 2023 - Jan 2024 · 1 yr 1 mo, Gwalior, Madhya Pradesh, India, • Consolidated SOC dataset for India, Australia, and Africa by merging land data (WoSIS, Chelsa, DEM) with satellite data (Modis), creating a comprehensive dataset with over 1 lakh records for enhanced research capabilities. • Processed complex queries in Snowflake for efficient data analysis, utilized QGIS to map point data for visualization. • Optimized regression models for soil organic carbon prediction, with XGBoost achieving 82% accuracy.

Education

Bachelor of Technology - BTech, Computer Science and Engineering, ABV-Indian Institute of Information Technology and Management

Public links

leetcode: https://leetcode.com/theLE0NIDAS

github: https://github.com/thele0nidas