Emani Chaitanya

Python Developer, Frontend Developer & Technical Writer

Passionate developer with hands-on experience in Python, Machine Learning, and NLP, along with front-end development using HTML, CSS, JavaScript, and React. Skilled in building intelligent, user-centric applications with clean and responsive interfaces.

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About Me

Why Hire Me?

Problem Solver: I approach challenges with analytical thinking and creative solutions.

Quality Focused: I write clean, maintainable code with comprehensive testing.

Business Minded: I understand how technology drives business value and ROI.

Passionate: I genuinely love coding and continuously improve my skills.

Ready to contribute to your team!

Available for immediate start • Open to remote/hybrid work

Tech Enthusiast

Strong foundation in React, Node.js, Python, and modern development practices. Eager to apply my skills in real-world projects.

Quick Learner

Passionate about learning new technologies and frameworks. Completed multiple personal projects to strengthen my skills.

Collaborative Spirit

Strong communication skills and experience working in team environments during college projects and internships.

Education

Bachelor of Technology in Computer Science
Andhra University College of Engineering
2021 - 2025

Comprehensive foundation in computer science principles, algorithms, and software engineering. Active in coding competitions and hackathons.

GPA: 8.36/10.0
Intermediate
Narayana Junior College
2019 - 2021

Comprehensive foundation in computer science principles, algorithms, and software engineering. Active in coding competitions and hackathons.

Marks: 977/1000

Experience

Software Engineer Intern
Cheerio AI
Jan 2026 - Present
  • Implemented new TypeScript-based React features in a live production app, delivering scalable and user-friendly interfaces with Material UI.
  • Collaborated on debugging and resolving critical frontend issues, reducing crashes and improving reliability.
  • Improved performance and developer experience through component reusability, strict typing, and code refactoring
TypeScriptReactNode.jsExpress.jsMongoDBMaterial UIDebuggingPerformance Optimization
QA Intern
HOPE Research Group
October 2025 - December 2025
  • Performed manual testing on Android applications and web platforms across multiple user flows.
  • Identified and reported bugs with clear reproduction steps, expected vs actual behavior, and screenshots/videos.
  • Collaborated with developers and team members to verify fixes and perform retesting.
Manual TestingBug ReportingAndroid & Web Testing
Freelance Technical Writer
Hiron AI
June 2025 - July 2025
  • Wrote 10+ research-based articles
  • Covered AI, career strategies, and future job skills
  • Strengthened professional writing and SEO content skills
Artificial IntelligenceWritingSEO
Open Source Contributor
GirlScript Summer of Code & Personal Projects
July 2025 - Present
  • Contributed 5 pull requests to open-source projects under GSSOC.
  • Built backend features like filtering and pagination using Node.js and Express.js.
  • Enhanced frontend UI in React and Tailwind CSS.
  • Improved accessibility, fixed bugs, and refactored components to align with clean code practices.
  • Collaborated via GitHub by participating in code reviews, issue discussions, and submitting high-quality PRs.

Featured Articles:

Next.jsJavascriptTypeScriptTailwind CSSOpen SourceGitHubNode.jsExpress.jsMongoDB
Technical Writer Intern
GeeksforGeeks
November 2023 - January 2025
  • Authored 10+ in-depth technical articles on topics including programming, project management, and software engineering practices.
  • Created SEO-optimized, beginner-friendly content — awarded the Contributor Badge for consistent quality.
  • Conducted research and wrote detailed explanations on Python and its core modules such as Pillow (image processing), Tkinter (GUI), and Pytest (testing framework).

Featured Articles:

Technical WritingSEOPythonPILTkinterComputer ScienceProject Management
Web Development Intern
Technohacks
May 2024 - June 2024
  • Worked as a Web Development Intern at TechnoHacks EduTech.
  • Built a User Management System using Node.js, Express.js, and MongoDB with full CRUD operations.
  • Developed responsive UIs for projects like a Restaurant site, Home Nest, and Netflix Clone.
HTML5CSS3JavascriptFirebaseReact.jsGitHub
Python Development Intern
I & T Labs
July 2023 - Nov 2023
  • Built a multi-functional calculator in Python, supporting complex operations to enhance efficiency and accuracy.
  • Analyzed 7,000+ Netflix Movies and TV Shows using Python (Pandas, Matplotlib) to uncover trends by genre, release year, and country.
  • Developed a California House Price Prediction model using Linear Regression, achieving an R² score of 0.58.
  • Strengthened GUI development and data analysis skills through hands-on experience with Python libraries.
PythonNumpyPandasMatplotlibScikit-learn
Web Development Intern
OctaNet
Sep 2023 - Sep 2023
  • Gained hands-on experience in HTML5, CSS3, JavaScript, and Bootstrap during a Web Development Internship.
  • Built a responsive To-Do List App to efficiently manage tasks and boost productivity.
  • Designed real-world projects like an Organic Website and Netflix Clone.
  • Strengthened front-end development and UI design skills.
Next.jsTypescriptTailwind CSS

Skills

Featured Projects

Habivance
  • Built an AI-powered habit tracker with personalized recommendations using 100+ health metrics.
  • Implemented custom habit tracking with 90% accurate streak and completion calculations.
  • Developed smart timers and notifications with automated email alerts.
  • Designed secure backend with JWT authentication, protected routes, and ML service integration.
MongoDBExpress.jsNode.jsReact.jsFlaskNodeMailer
SaveUp
  • Built SaveUp (MERN) to simplify personal finance with real-time tracking and smart insights.
  • Integrated AI assistant to deliver personalized financial guidance and actionable recommendations.
  • Enabled proactive budget tracking alerting users 90% of the time before overspending.
  • Implemented goal-oriented savings features driving smarter financial decisions and user engagement.
MongoDBExpress.jsNode.jsReact.jsOpenROuterJWT
Youtube Sentiment Analysis
  • Built a Streamlit web app to classify YouTube comments as positive, negative, or neutral.
  • Used Logistic Regression with TF-IDF vectorization for accurate sentiment prediction.
  • Integrated custom rule-based logic to handle sarcasm, negations, and subtle sentiment nuances.
  • Applied advanced NLP preprocessing techniques to clean and process noisy, user-generated text.
PythonStreamlitscikit-learnTF-IDFLogistic RegressionNLP
Task Nest
  • Developed TaskNest, a full-stack to-do list application using Next.js for both frontend and backend.
  • Utilized Next.js API Routes to handle CRUD operations and MongoDB for persistent data storage.
  • Implemented React hooks and a responsive UI for seamless task management across devices.
  • Integrated toast notifications to improve user feedback and overall experience.
Next.jsReact.jsTailwind CSSMongoDBMongooseAxios
Image Classification
  • Built a Convolutional Neural Network (CNN) model to classify clothing items using the Fashion MNIST dataset.
  • Achieved approximately 90% accuracy through optimized training and fine-tuning techniques.
  • Utilized TensorFlow for model development and Matplotlib for result visualization.
  • Focused on model evaluation, performance analysis, and clear representation of classification outcomes.
PythonTensorflowMatplotlibSeabornScikitlearnPIL
Fake News Detection
  • Built a Fake News Detection model using Logistic Regression with TF-IDF vectorization for feature extraction.
  • Implemented NLTK-based text preprocessing, including stopword removal and stemming, to clean and normalize data.
  • Trained the model on the Kaggle Fake and Real News dataset, achieving an impressive ~96% accuracy.
  • Developed and executed the entire workflow in Google Colab, ensuring efficient training and reproducibility.
Pythonscikit-learnTF-IDFLogistic RegressionNLP
Netflix Movies and TV Shows Analysis
  • Analyzed 7,000+ Netflix titles to uncover trends across content type, release year, genres, countries, and top creators.
  • Used Python (Pandas, Matplotlib) to generate 10+ meaningful visualizations showing key patterns and insights.
  • Identified shifts in Netflix’s content strategy (2000–2021), highlighting growth areas and evolving audience focus.
PythonPandasMatplotlib
House Price Prediction
  • Built a Linear Regression model to predict housing prices using key features such as location, income, and population.
  • Performed data preprocessing, model training, and evaluation using Scikit-learn, achieving an RMSE of 0.75.
  • Visualized trends and model performance with Matplotlib, ensuring clear insights into feature impact and prediction accuracy.
PythonScikitlearnPandas

Blogs

Techio

  • Built and maintain **Techio**, a technical blog sharing in-depth guides on web development, React, APIs, and debugging
  • Simplify complex programming concepts into step-by-step, beginner-friendly tutorials with practical examples
  • Write SEO-optimized content focused on real-world problems and developer productivity
  • Consistently publish high-quality articles that help learners strengthen fundamentals and solve issues faster
SEOTechnical WritingWeb DevelopmentMachine LearningContent Creation

Get In Touch

Let's create something amazing together

Let's work together

I'm always interested in new opportunities and interesting projects. Let's discuss how we can bring your ideas to life.

chaitanyaemani6@gmail.com
+91 8247281027

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