🎓 B.Tech AI & ML | 🧠 AI + Web Developer 🎓 Final Year B.Tech AI & ML | 🧠 AI & Web Developer
I'm a passionate Final year B.Tech student specializing in Artificial Intelligence and Machine Learning at Bannari Amman Institute of Technology.
I enjoy building intelligent systems, AI agents, and cloud-based applications.
I’m proficient in Python, C, Java, SQL, and deeply interested in LLMs, Generative AI, AI Agents, and Software Development.
I’m a Final Year B.Tech student specializing in Artificial Intelligence and Machine Learning at Bannari Amman Institute of Technology.
Passionate about Machine Learning, NLP, Deep Learning, and Cloud Computing, I enjoy building AI-powered applications, automation tools, and cloud-integrated systems.
I’m proficient in C, Java, Python (Basics), SQL, and have hands-on experience with AI Agents, LLMs, Vision Models, and Cloud Technologies.
- AI/ML: Machine Learning, Deep Learning, NLP, Transformers (GPT-2, GPT-3), Vision Models, AI Agents, MCP (Model Context Protocol), ChromaDB
- Programming: Python (Basics), SQL, C, Java, OOPS
- Tools & Platforms: YAML, Git, Docker, Cloud Computing (Azure), MCP Servers
- Other: Azure Cloud, Software Development, Automation
- 📄 PDF RAG: Built a collaborative PDF-based Retrieval-Augmented Generation system with GPT-4.1 using Flask (backend) + Azure OpenAI + Next.js (frontend). Supports multi-user simultaneous querying for teamwork.
- 🎭 DeepFake Video Detector: Developed a detection system to classify AI-generated videos using MTCNN + EfficientNetV2, deployed with Gradio for interactive testing and feedback.
- 💬 WhatsApp GPT-2 Tanglish Chatbot: Designed a chat-based bot using GPT-2 with QLoRA (4-bit quantization) and TF-IDF + Cosine Similarity for Tanglish conversations, optimized for RTX 3050 (6GB).
- 😊 Emotion Detection in Text using BERT: Built an NLP pipeline with BERT for accurate sentiment/emotion classification and integrated with deployment-ready interfaces.
- ⚙️ Day-to-Day Automation (MCP Servers): Implemented automation workflows using MCP servers for intelligent task execution and system management.
- 🔥 GPT-2 Tanglish Chatbot: Built a WhatsApp-like conversational bot using GPT-2 with QLoRA (4-bit quantization) for efficient training on RTX 3050 (6GB). Enhanced with TF-IDF + Cosine Similarity for better contextual understanding.
- 😊 Emotion Detection using BERT: Developed an NLP model using BERT for accurate sentiment analysis with deployment-ready interfaces using Gradio.
- 🤖 Telegram Chatbot: Engineered a chat-mimicking Telegram bot trained on user chat logs, deployed on Railway with cloud scaling.
- Machine Learning with Python – FreeCodeCamp
- Microsoft Applied Skills: Creating Intelligent Document Processing with Azure AI
- Microsoft Applied Skills: Building NLP Solutions with Azure AI Language
- Oracle AI Foundation Associate – Oracle
- Artificial Intelligence
- Machine Learning
- Artificial Intelligence & Machine Learning
- Generative AI & LLMs
- AI Agents & Automation
- Software Development
- Cloud Computing
- Vector Databases (ChromaDB)
- Database Design & Management
- Cloud Computing (Azure) & Docker
- Database Design & Vector Databases (ChromaDB)
- Intelligent Automation
@@ -59,31 +67,24 @@ I’m proficient in Python, C, Java, SQL, and deeply interested in **LLMs, G
@@ -97,10 +98,11 @@ I’m proficient in **Python, C, Java, SQL**, and deeply interested in **LLMs, G
💻 I’m always open to collaborating on exciting AI, ML, or cloud-based projects. Let's build something amazing together! 💻 Always open to collaborating on exciting **AI, ML, or Cloud-based projects**. Let’s innovate together!