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Mona GavanapuramMG
Open to opportunities

Mona Gavanapuram

@monagavanapuram

I’m a content writer and CSE graduate leveraging AI & ML to create SEO-friendly technical content.

India
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What I'm looking for

I’m looking for a role where I can write well-researched, SEO-friendly technical and academic content, collaborate closely with teams, and use my AI/ML knowledge to educate readers clearly while growing my writing craft.

I’m an enthusiastic content writer and CSE graduate (AI & ML) with hands-on experience from InAmigos Foundation. I produce well-researched, SEO-friendly blogs, technical articles, and academic content that connects with both technical and non-technical readers.

In my Content Writing Intern role at InAmigos Foundation, I developed compelling content on animal welfare, responsible feeding practices, and wildlife protection. I collaborated with the team to align content strategy with organizational goals, strengthening the foundation’s brand voice and social impact presence.

I also created eye-catching awareness posters that amplified outreach efforts across digital and physical platforms. Through well-researched CSR-driven animal welfare initiatives, I crafted impactful narratives tailored to diverse audience segments and helped raise public awareness on ethical animal treatment.

Alongside writing, I build AI solutions. My academic project “Kidney Stone Detection using CNN” achieved 98% accuracy and was published in an IEEE conference—experience that strengthens how I explain emerging technologies clearly and responsibly.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

Kalasalingam Academy of Research and Education logoKE

Kalasalingam Academy of Research and Education

Bachelor of Technology, Computer Science and Engineering

2020 - 2024

Grade: CGPA: 8.23

Activities and societies: Academic project: Kidney Stone Detection using CNN; developed a CT-scan image classification model (Cyst/Normal/Stone/Tumor) with 98% accuracy and evaluated via metrics such as accuracy, precision, and recall; published in an IEEE conference.

Bachelor of Technology in Computer Science and Engineering (AI & ML) with a CGPA of 8.23. Completed academic work including a CNN-based kidney stone detection project with 98% accuracy.

Tech stack

Software and tools used professionally

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