Open to opportunities

Madhuri Sadanala

@madhurisadanala

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Software Development Engineer (SDE-1) building scalable full-stack and systems solutions with strong CS fundamentals.

India

Message

What I'm looking for

I’m seeking an entry-level Software Engineer / SDE-1 role at a product-based or MNC organization, where I can apply strong CS fundamentals to scalable, real-world systems with real ownership, Agile delivery, and continuous learning.

I’m a B.E. graduate turned Software Development Engineer (SDE-1) with hands-on experience in C, C++, Python, and JavaScript, backed by strong Data Structures & Algorithms, OOP, Operating Systems, DBMS, and Computer Networks fundamentals (TCP/IP, HTTP, DNS). I’ve built and deployed production React.js/Node.js applications and socket-based multi-threaded systems on Linux, focusing on performance, reliability, and root-cause debugging.

I’m comfortable across the stack—frontend, backend, systems programming, and data—and I deliver with Agile/Scrum discipline, CI/CD concepts, and unit testing. In internship work, I integrated 10+ REST APIs, improved performance and compatibility through systematic debugging, and built end-to-end ML pipelines using Python libraries like Scikit-learn, Pandas, and NumPy.

Experience

Work history, roles, and key accomplishments

Frontend Developer Intern

Teens Software Solutions

Jul 2025 - Nov 2025 (4 months)

Designed and deployed 3+ production React.js web applications integrating 10+ REST API endpoints with sub-200ms response times. Built a reusable component library (20+ UI modules), performed root-cause debugging for cross-browser UI defects (95% compatibility), and delivered across Agile/Scrum sprints with CI/CD concepts and unit testing.

React Javascript (ES6)REST APIs HTTP OOP Component Library Development Debugging Cross Browser Testing CI CD Unit Testing Agile Scrum Git Git Branching

Data Science & Machine Learning Intern

Think AI

Jan 2024 - Apr 2024 (3 months)

Developed supervised ML models in Python (scikit-learn) for price prediction and time-series forecasting with R² > 0.87. Built an end-to-end data pipeline on 5,000+ records using pandas and NumPy, and improved prediction accuracy by 18% via hyperparameter tuning of Linear Regression vs. Random Forest using MAE and R².

Python scikit learn Pandas NumPy Time Series Price Prediction Hyperparameter Tuning Random Forest MAE R EDA Visualization

Education

Degrees, certifications, and relevant coursework

Shri Vishnu Engineering College for Women (SVECW)

Bachelor of Engineering (B.E.), Electrical & Electronics Engineering

2021 - 2025

Grade: CGPA: 8.39/10

Activities and societies: Relevant coursework: Data Structures & Algorithms, Computer Networks (TCP/IP, HTTP, DNS), Operating Systems, OOP in C++, DBMS, Cloud Computing, Software Engineering.

Earned a B.E. in Electrical & Electronics Engineering (CGPA 8.39/10). Completed coursework including Data Structures & Algorithms, Computer Networks (TCP/IP, HTTP, DNS), Operating Systems, OOP in C++, DBMS, Cloud Computing, and Software Engineering.