Hello, I'm
Aspiring Backend Software Engineer
Get To Know More about me
* Exploring DSA in C++
* Backend Developer
* System Design
- π Sir M. Visvesvaraya Institute of Technology
2023-2027 | CGPA:8
Learning Backend Developer | AI Researcher | DSA in C++ | CSE @ Sir MVIT
Backend-focused Computer Science student (5th sem) at Sir M. Visvesvaraya Institute of Technology. Passionate about building robust web systems using Django, Flask, and MySQL/SQL Server. Skilled in clean API design, performance optimization, and problem-solving. Currently sharpening DSA skills in C++, exploring system design concepts, and learning AI through CS50. Actively contributing to research papers and developing personal projects. Outside of coding, I love reading books, exploring new technologies, and solving logic puzzles. Always learning, always building β one logical layer at a time.
Explore My
Backend development is where logic meets scalability β turning raw data into seamless user experiences
Turning pixels into experiences β where code becomes creativity
From version control to deployment, tools and platforms make innovation repeatable
Browse My Recent
Completed Project
Mar 2025
Full-stack SaaS platform built with Django and React.js to simplify invoicing for freelancers.
Developed
secure REST APIs with JWT auth and role-based access. Integrated asynchronous tasks using Celery + Redis for
PDF generation and email alerts.
Implemented dynamic invoice and client management, search filters, and CRUD operations with smooth UX.
Included mock payment flows (Stripe & PayPal), deployed via Docker and CI/CD on Render.
Focused on modular code, unit testing, and robust backend performance , ensuring scalability and
maintainability for real-world SaaS usage.
May 2025 - Aug 2025
Built an advanced SQL-based data warehouse simulating a retail e-commerce platform. Designed normalized and
denormalized schemas, developed views, CTEs, window functions, and materialized views for performance.
Delivered business intelligence insights like CLV, RFM analysis, and sales forecasting using pure SQL.
Optimized complex queries with indexing, partitions, and EXPLAIN plans β powering analytical dashboards with
no-code pipelines.
Developed multi-layered SQL pipelines with raw-to-staging-to-core transformations using CTEs, temp tables,
and window functions. Queries powered metrics such as Avg Order Value, Top Customers, Repeat Purchase Rate,
and CLV segmentation.
The project was Mainly Done in SSMS .
Nov -2025
Smart Finance Manager is a web app built using Django to help users track and manage their daily expenses.
Users can add expenses using receipt upload, voice input, or manual typing for maximum flexibility.
The system automatically categorizes transactions and stores detailed history for future reference.
It provides clear analytics with charts and summaries to show where the money is going.
Users can set a target amount to save, and the app tracks progress toward that goal.
A built-in AI explanation module explains spending patterns in simple language.
The app also highlights unnecessary or high expenses to help users cut costs.
All transactions and analytics can be exported as a clean PDF report for review or sharing.
Overall, this project focuses on making personal finance management smarter, faster, and easier for users.
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