Pavan Kumar

AI & Machine Learning Engineer
> Building RAG Systems
Available for AI/ML Internships
Computer Science Engineering (AI & ML) · SOA University

Building AI-powered systems, RAG applications, and intelligent automation solutions that solve real-world problems.

Download Resume GitHub Explore My Work →
10+
Projects
300+
Coding Problems
5+
AI Certifications
2+
Hackathons
Pavan Kumar
About me

Who I Am

I’m Pavan Kumar, an AI & ML-focused Computer Science student at SOA University passionate about building intelligent systems, generative AI applications, and scalable web technologies.

My core interests lie in Retrieval-Augmented Generation (RAG), intelligent agents, machine learning systems, and AI-powered automation. I lead teams, participate in hackathons, and collaborate on open-source repositories to turn raw data and model checkpoints into production-ready platforms.

Connect GitHub Resume ↗
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Degree
B.Tech Computer Science — SOA University (2027)
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Location
Bhubaneswar, Odisha, India
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Cloud Focus
Microsoft Azure Intern (AICTE Elevate)
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Leadership
NCC Sergeant · GDG Design Lead
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Focus Areas
Generative AI, Large Language Models, MLOps
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Currently Building
Fake News Classifier (NLP + ML Ensemble)
Expertise

AI Toolkit & Technologies

Projects

Featured AI Projects

Open Source

GitHub Activity & Stats

500+
Total Commits
40+
PRs & Issues
620+
Annual Contributions
120 Days
Longest Streak
@DurgaPavan0923 on GitHub
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Featured Repositories
Experience

Timeline & Contributions

Research Focus

Research Interests

🧠 Generative AI 🧬 Large Language Models 🔗 RAG Systems 🤖 Intelligent Agents 👁️ Computer Vision 📰 Misinformation Detection ⚡ AI Automation
Credentials

Certifications & Achievements

Technical Insights

Blogs & Articles

Generative AI · 5 min read

Understanding Retrieval-Augmented Generation (RAG)

A deep-dive into how vector databases, semantic search pipelines, and prompt injection can optimize LLM context retrieval and eliminate hallucination.

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Large Language Models · 4 min read

Building AI Assistants with LangChain and FAISS

A step-by-step technical guide to indexing PDF libraries, applying chunking heuristics, and using conversational memory loops to build intelligent chatbots.

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Machine Learning · 6 min read

Detecting Misinformation at Scale with Machine Learning Models

An analysis of text preprocessing models, feature extraction vectors, and ensemble classifier architectures used to identify fake news in high-throughput pipelines.

Read Article ↗
contact

Get In Touch

Email
rdpkumar2308@gmail.com
LinkedIn
rajanadurga-pavan-kumar
GitHub
DurgaPavan0923
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Pavan's Neural Assistant
Online · Gemini-powered