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Hello, I'm

Saikumar

Backend Developer in Training

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About Me

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Learning Journey

Practicing DSA in C++(LeetCode&GFG)
Backend Development

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Education

B.E. Bachelors Degree

Learning Backend Developer | AI Researcher | DSA in C++ | CSE @ Sir MVIT

Backend-focused Computer Science student (4th sem) at Sir M Visvesvaraya Institute of Technology. Passionate about building robust web systems using Django, Flask, and PostgreSQL. I love writing clean APIs, optimizing performance, and solving real-world problems with code. Currently sharpening my DSA skills in C++, and exploring system design concepts. Always learning, always building — one logical layer at a time.

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Explore My

Journey

Frontend Development

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HTML

Experienced

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CSS

Experienced

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Streamlit

Intermediate

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JavaScript

Basic

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TKinterface

Basic

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Material UI

Basic

Backend Development

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Flask

Intermediate

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Django

Experienced

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MySQL

Experienced

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SQLite 3

Intermediate

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Git

Experienced

--->

Still Learning and exploring

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Browse My Recent

Projects

Invoicia — Smart Invoicing SaaS

Ongoing Project

May 2025 - Present

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.

RetailMetrics — SQL Data Warehouse for BI

Ongoing Project

May 2025 - Present

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 — 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.

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