Mounika Eswar reddy

Full Stack Developer passionate about integrating AI into development workflows

Talent

IndiMember since May 23, 2026

PythonDjangoFlaskReact.jsHTMLCSSRESTful APIsSQLPostgreSQLMySQLRandom ForestSVMGradient BoostingData preprocessingFeature engineeringPower BIAWSDockerDeluge scriptingZoho CreatorZoho CRMOpenAI APINLP

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PythonDjangoFlaskReact.jsHTML

About

Self-driven and collaborative Full Stack Developer passionate about integrating AI into development workflows. Experienced in building scalable web applications using Python, Django, and React. Strong in REST APIs, database optimization, and performance improvement (80% faster APIs). Passionate about building user-focused, high-performance applications.

Experience

Junior Zoho Developer - Coderize Infotech Services

(2026-02 - 2026-04)

Developed and customized applications using Zoho Creator, leveraging prior experience in Python-based backend logic to design efficient workflows and scalable solutions.
Automated business processes using Deluge scripting, applying strong programming fundamentals from Python (API handling, logic building, data processing) to reduce manual effort and improve efficiency.
Integrated Zoho CRM, Zoho Creator, and external systems using APIs, utilizing experience with REST APIs, JSON, and database handling (SQL) from full-stack development.

Full Stack Developer Intern - KodNest

(2025-04 - 2026-01)

Developed full-stack web applications using Python, Django, React.js, HTML, CSS, and JavaScript — delivering responsive, customer-facing interfaces.
Built and integrated RESTful APIs with MySQL databases, focusing on scalable backend architecture and clean, maintainable code.
Reduced API response times by ~80% through targeted backend optimization, improving real-time user experience.
Applied SDLC best practices including debugging, code reviews, and documentation to ensure reliable software.

AI & ML Engineer Intern - Rooman Technologies

(2024-10 - 2025-03)

Built and integrated RESTful APIs, improving data flow efficiency and enabling seamless frontend-backend communication, ensuring scalable and maintainable backend architecture.
Performed data preprocessing, feature engineering, and data visualization to prepare high-quality training data, reducing noise and improving model performance.
Collaborated on AI-driven problem-solving tasks with hands-on experience in model training, evaluation, and iterative optimization.