Open to opportunities

BALE MOUNIKA

@balemounika

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Python full-stack developer focused on scalable web apps and machine learning-driven solutions.

India

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What I'm looking for

I seek a role combining Python full-stack development and ML, where I can build production web apps, improve system performance, and grow in AI-driven engineering.

I am a Python full-stack developer and AI/ML practitioner with hands-on experience building scalable web applications using Django, Flask, React.js, PostgreSQL, and containerized deployments on AWS.

I developed PHISHNET, a machine-learning threat intelligence system detecting phishing via URLs, email, and SMS using RandomForest, SVM and GradientBoosting achieving up to 98% accuracy, and built an e-commerce portal with secure authentication, inventory management and integrated payments.

I completed internships and full-stack training, working on data preprocessing, model building, feature engineering, and RESTful APIs; I focus on performance improvements, clean code, and delivering production-ready solutions that blend ML and web engineering.

Experience

Work history, roles, and key accomplishments

Student Developer

Sri Sairam College Of Engineering

Jan 2021 - Jan 2025 (4 years)

Developed PHISHNET, a machine-learning threat intelligence system detecting phishing via URLs, emails, and SMS achieving up to 98% classification accuracy and a responsive real-time analysis UI.

Python Machine Learning Random Forest SVM Gradient Boosting Django Flask PostgreSQL

Software Development Trainee

KodNest

Trained in full-stack web development and delivered end-to-end applications using Python, Django, React.js and RESTful APIs; implemented databases and deployed containerized projects.

Python Django React HTML CSS JavaScript REST APIs MySQL AWS Docker

AI/ML Intern

Rooman Technologies

Completed an AI/ML internship working on data preprocessing, model training and evaluation, and predictive model development for real-world datasets.

Python Machine Learning data preprocessing Model Evaluation Random Forest SVM Gradient Boosting Data Visualization Pandas scikit learn

Education

Degrees, certifications, and relevant coursework

Sri Sairam College of Engineering

Bachelor of Engineering, Computer Science & Machine Learning

2021 -

Grade: 8.2

Activities and societies: Developed PHISHNET project detecting phishing via URLs, emails, and SMS using Random Forest, SVM, and Gradient Boosting; built responsive web interface for real-time threat analysis.

Pursuing Bachelor's Degree in Computer Science & Machine Learning with coursework and projects focusing on web development and ML-based threat detection.