Mona Gavanapuram
@monagavanapuram
I’m a content writer and CSE graduate leveraging AI & ML to create SEO-friendly technical content.
What I'm looking for
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
Content Writing Intern
Inamigos Foundation
Produced content on animal welfare, responsible feeding, and wildlife protection, strengthening the foundation’s mission reach. Collaborated with the team on content strategy, designed awareness posters, and wrote well-researched CSR-driven articles with narratives tailored to diverse audience segments.
Education
Degrees, certifications, and relevant coursework
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.
Availability
Location
Authorized to work in
Job categories
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