shiva ram
@shivaram2
I build full-stack and AI-powered applications using RAG, React, and FastAPI.
What I'm looking for
I've built AI-powered web applications including Social AI Sahayak, an assistant that helps content creators optimize social media posts through YouTube trend analysis and context-aware RAG-generated captions, titles, and hashtags.
I developed the product with React.js, FastAPI, Gemini API, and MongoDB, adding JWT authentication and chat history before deploying it on Vercel and Render.
I also created a Mock Interview Assistant that uses a fine-tuned T5 model to generate resume-based interview questions and feedback, while enabling users to share real-time interview experiences.
I'm a Computer Science undergraduate focused on machine learning, full-stack development, data structures and algorithms, and scalable AI applications. I've solved 500+ LeetCode problems and work with Java, Python, React.js, Node.js, FastAPI, MongoDB, and MySQL.
Experience
Work history, roles, and key accomplishments
Social AI Sahayak Developer
Personal Project
May 2026 - Jul 2026 (2 months)
Built an intelligent assistant to help content creators optimize social media posts for maximum engagement. Extracted and analyzed large-scale data from YouTube Data API to identify trending patterns.
Computer Science Undergraduate
Keshav Memorial Institute Of Technology
Sep 2022 - May 2026 (3 years 8 months)
Pursuing Bachelor of Technology in Computer Science with a focus on Machine Learning, maintaining a CGPA of 8.1.
Mock Interview Assistant Developer
Personal Project
Jan 2026 - Mar 2026 (2 months)
Designed an intelligent assistant to help students improve their interview performance. Fine-tuned T5 model to generate questions and feedback based on user resume and deployed the web app using Render and Vercel.
Intermediate Student
Narayana College
Jun 2020 - Jun 2022 (2 years)
Completed Class XII with a percentage of 98.0.
Education
Degrees, certifications, and relevant coursework
Keshav Memorial Institute of Technology
Bachelor of Technology, Computer Science (Machine Learning)
2022 -
Grade: CGPA-8.1
Pursuing a Bachelor of Technology in Computer Science with a focus on Machine Learning, maintaining a CGPA of 8.1.
Narayana College
Intermediate, Intermediate
2020 - 2022
Grade: 98.0%
Completed Intermediate (Class XII) with a percentage of 98.0.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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