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Kola SriramKS
Looking for a job

Kola Sriram

@kolasriram

I build MERN applications and RAG-powered AI tools for real-world workflows.

India
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What I'm looking for

I'm looking for structured training or internship opportunities where I can contribute to real-world software projects while growing my full-stack development, applied AI, and machine learning skills.

I built an AI-powered feedback analysis platform using MERN, Google Gemini, Pinecone, and RAG to generate sentiment insights, semantic search, and contextual responses from customer feedback.

At PurpleLane, I developed a MERN parking management system with REST APIs, JWT authentication, role-based access, real-time booking, automated billing, and an admin dashboard. I also completed machine learning training at NIT Tiruchirappalli and continue building applied AI and full-stack development skills through projects and problem-solving practice.

Experience

Work history, roles, and key accomplishments

NT

Machine Learning Trainee

NIT Tiruchirappalli

May 2025 - Jul 2025 (2 months)

Completed intensive ML training covering ML architectures and Python-based data techniques. Earned Machine Learning Certification from National Institute of Technology Tiruchirappalli.

Education

Degrees, certifications, and relevant coursework

SE

Sasi Institute of Technology and Engineering

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

2023 -

Grade: 8.01 CGPA

Activities and societies: Coursework includes OOP, Data Analysis, Artificial Intelligence, Machine Learning, and Web Technologies.

Pursuing a Bachelor of Technology in Computer Science and Engineering with a specialization in AI and ML, maintaining a CGPA of 8.01.

SC

Sasi Junior College

Intermediate, Intermediate

2021 - 2023

Grade: 68.8%

Completed Intermediate education under the Board of Intermediate Education, Andhra Pradesh, with 68.8%.

SS

St. Joseph's E.M High School

SSC, SSC

2020 - 2021

Grade: 97.83%

Completed SSC under the Board of Secondary Education, Andhra Pradesh, with 97.83%.

Tech stack

Software and tools used professionally

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