Venkat Vellanki
👋 Hi, I'm Venkat Aditya Vellanki
🚀 About Me
I’m an AI enthusiast with a passion for building impactful, people-centric technologies. Currently interning as an AI Developer Intern at Viswam.ai's Summer of AI 2025, I contribute to creating high-quality Indic datasets and developing intelligent systems powered by LLMs.
With a solid foundation in Python, Java, and backend frameworks, I’m also keen on the ethical and practical aspects of cybersecurity and inclusive AI.
🛠 ️ Skills & Tools
Languages: Python, Java, C, HTML, CSS, JavaScript
AI/ML: NumPy, Pandas, Matplotlib, Scikit-learn, OpenCV, TensorFlow (basic)
Frameworks & Tools: Spring Boot, React.js, Node.js, Git, Postman, Streamlit
Concepts: Prompt Engineering, System Prompts, RAG, Fine-Tuning, Model Inferencing
Soft Skills: Communication, Team Collaboration, Technical Writing, Presentation
🌟 Current Internship Focus
🔹 Corpus Collection for Indic AI
- Collecting audio, video, image, and text data via corpus.swecha.org
- Weekly Target: 20+ hours A/V, 200+ image/text records
- Total Goal: 80+ hours A/V, 800+ records
🔹 Learning Path
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✅ Python Foundations: Simple & Advanced -
✅ AI Concepts: Prompt Engineering, Tokens, Context Windows -
✅ Model Basics: In-context learning, Fine-tuning, RAG, Benchmarks
🔹 Project Development
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💡 Building a Custom AI Assistant using Prompt Engineering via HuggingFace -
🌐 Collaborating on a Streamlit-based AI App as a team project -
⚙ ️ Performing local model inferencing using Ollama and Pocketpal - 🧠 Working toward fine-tuning LLMs on unique Indic datasets
📂 Highlight Projects
🔐 FortiGuard
AI-based network security tool for detecting and mitigating DDoS, DoS, and MITM attacks.
Java,Spring Boot,AI,Cybersecurity
👁 ️ Sight Sense
A smart AI system for automatic image captioning to assist visually impaired individuals.
Python,Deep Learning,Computer Vision,NLP
📊 PathForge
Academic performance insight app for helping students plan better using visual analytics.
Python,Pandas,Matplotlib
🤝 Contributions
- Actively contributing as an AI Developer Intern in Swecha’s Viswam.ai program
- Participating in open-source AI projects and collaborative development
- Working on HuggingFace-hosted apps and prompt-based AI assistants
- Exploring fine-tuning and inferencing of language models on local and mobile devices
- Contributing to building distributed compute capacity for model training
📈 Goals Ahead
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📦 Upload complete corpus data meeting internship benchmarks -
🤖 Finalize and deploy my HuggingFace Assistant -
💻 Complete team AI project using Streamlit - 🧠 Participate in fine-tuning a regional LLM with my team
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📊 Submit benchmark report and performance evaluation
Thanks for visiting! Let’s connect, collaborate, and build ethical AI together.