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Ainleni Srikeerthi UserAU
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Ainleni Srikeerthi User

@ainlenisrikeerthiuse

Aspiring full-stack developer and ML enthusiast building practical AI-driven applications.

India
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What I'm looking for

I seek hands-on roles that combine full-stack development and ML, with mentorship, real-world impact, and opportunities to learn new technologies.

I am a BTech student specializing in computer science and engineering with hands-on experience in full-stack web development and machine learning projects. I've built MERN applications with payment integration and created ML solutions like pneumonia detection from chest X-rays and soundscape classification.

I completed internships in MERN stack development and contributed to dataset collection for Telugu LLMs, gaining practical exposure to modern development workflows, data preprocessing, and model optimization. I focus on user-friendly interfaces, responsive design, and improving model accuracy.

I seek opportunities where I can apply my technical skills, learn emerging technologies, and contribute to real-world projects while growing professionally and delivering measurable value.

Experience

Work history, roles, and key accomplishments

SW

AI / Data Collection Intern

Swecha

May 2024 - Jun 2024 (1 month)

Collected Telugu audio recordings to support development of Telugu large language models, contributing to dataset quality and cultural preservation efforts.

PP

Machine Learning Project Developer

Personal Projects

Built ML projects including a CNN-based pneumonia detector, an UrbanSound8K audio classifier (97% KNN accuracy), and a MERN food-delivery app with Stripe payments and admin dashboard.

Education

Degrees, certifications, and relevant coursework

Sphoorthy Engineering College logoSC

Sphoorthy Engineering College

Bachelor of Technology, Computer Science and Engineering

2021 -

Grade: 7.54/10.0

Activities and societies: Projects: Pneumonia detection using CNN, Environmental soundscape classification, Tandoori Tales full-stack web app.

Pursuing a Bachelor of Technology in Computer Science and Engineering with a CGPA of 7.54/10.0, focusing on web and AI projects.

SK

Sri Chaitanya Junior Kalasala

Intermediate, Intermediate (Science)

2019 - 2021

Grade: 93.8%

Completed Intermediate education with a focus on science, achieving 93.8% overall.

TG

TS Residential School (Girls)

SSC, Secondary School

Grade: 9.3/10.0

Completed Secondary School Certificate with a GPA of 9.3/10.0.

Tech stack

Software and tools used professionally

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