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Eswar. M. S

Eswar. M. S

Software Developer

Talent
ChennaiMember since May 26, 2026
PythonJavaScriptDjangoFlaskMySQLSQLDatabase DesignCRUD OperationsSDLCDebuggingAIGitGitHubRESTful API developmentCNN (Convolutional Neural Network)OpenCVDeepFacePandasNumPyScikit-learnRESTful API
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PythonJavaScriptDjangoFlaskMySQL

About

Results-driven Computer Science graduate (2026) proficient in Python, Django, HTML, CSS, SQL, React JS, JavaScript, and RESTful API development. Proficient in designing and implementing MySQL database design, CRUD operations, and backend integration. Familiar with git version control, SDLC methodologies, debugging, and code optimization. Seeking an entry-level Software Engineer role to contribute to scalable web application development

Experience

Web Development Intern - FrontierWox Tech Private Limited

(2025-10 - 2025-11)

  • Built and maintained responsive web applications using HTML, CSS, JavaScript, and modern web development concepts.
  • Worked on frontend development, debugging, and improving user interface design for better user experience.
  • Gained hands-on experience with Git, GitHub, project deployment, and collaborative development workflows.
  • Developed a real-time emotion recognition system using CNN (Convolutional Neural Network) for facial expression classification.
  • Implemented face detection using OpenCV Haar Cascade and emotion analysis using DeepFace.
  • Classified emotions into Happy, Sad, Angry, Fear, Surprise, and Neutral states
  • Integrated Gemini AI to deliver personalized recommendations for activities, music, movies, and motivation based on detected emotions
  • Built a web-based application using Python, Flask, HTML, CSS, JavaScript. Optimized real-time processing latency to approximately 0.5–1.5 seconds per frame.
  • Enhanced a machine learning–based phishing URL detection system capable of identifying malicious and legitimate websites by analyzing URL structures, domain-related features, and security indicators.
  • Built a complete web application using Flask, integrating frontend and backend components to provide real-time URL prediction through an interactive and user-friendly interface.
  • Performed data preprocessing, feature extraction, and model training using Python libraries such as Pandas, NumPy, and Scikit-learn to improve prediction accuracy and model performance.
  • Implemented version control and project management using Git and GitHub, enabling efficient code maintenance, project tracking, and deployment workflow management.

Education

B.E. - Computer Science Engineering - K.L.N. College of Engineering (2022 - 2026)

Skills

Software Developer

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