Open to opportunities

INDHU GOPU

@indhugopu

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I build AI, automation, and full-stack solutions using Python, AWS, and computer vision.

India

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What I'm looking for

I'm seeking an entry-level Software, AI, or Automation Engineer role where I can apply technical expertise, analytical thinking, and problem-solving skills to build scalable and impactful technology solutions.

I've built AI-driven projects for agricultural-waste classification, crime prediction, and fraudulent online-review detection using Python, computer vision, machine learning, and graph-based representations.

During an AWS AI-ML virtual internship, I worked on data preprocessing, model training, optimization, and deployment with SageMaker, Lambda, and S3. I also completed deep-learning training through CITD (MSME).

As a Python Full Stack Developer virtual intern, I developed web applications with responsive HTML and CSS interfaces, RESTful APIs, database integration, CRUD operations, and user authentication.

I'm a Computer Science Engineering (AI and ML) graduate with experience across Java, Python, cloud technologies, UiPath automation, Salesforce applications, MySQL, MongoDB, PyTorch, and Power BI. I'm seeking an entry-level role where I can build scalable and impactful technology solutions.

Experience

Work history, roles, and key accomplishments

Python Full Stack Developer

Virtual Internship

Oct 2025 - Dec 2025 (2 months)

Developed full-stack web applications using Python for backend development, built responsive front-end interfaces with HTML and CSS, implemented RESTful APIs and database integration, and performed CRUD operations and user authentication.

Python HTML CSS REST APIs Database Integration CRUD Operations Authentication

Education

Degrees, certifications, and relevant coursework

Marri Laxman Reddy Institute of Technology and Management

Bachelor of Technology, Computer Science Engineering (AI and ML)

Grade: 8.20 CGPA

Pursuing a Bachelor of Technology in Computer Science Engineering with a specialization in Artificial Intelligence and Machine Learning, achieving a CGPA of 8.20.