🎓 B.E. student in AI & Data Science at CBIT, Hyderabad 🧠 Passionate about machine learning, computer vision, and secure AI governance 🔬 Experienced in building real-time deep learning systems and full-stack apps that solve real problems 💼 AI, Cybersecurity & Data Privacy Intern @ E Com Security Solutions
- 👁️ Computer Vision & Deep Learning: CNNs, TensorFlow/Keras, OpenCV
- 🌐 Web Development: React.js, Flask, MySQL
- 🔒 AI Governance & Data Privacy: research, compliance, risk mitigation
- 🛠️ Languages: Python, C++, C, Java, JavaScript
- 🎥 Real-Time Face & Emotion Detection System — CNN-based pipeline classifying 7 emotional states in real time, trained on 35,000+ images from FER-2013, with Haar Cascade + DNN face detection for low-latency inference.
- 🌾 Crop Recognition System — Full-stack ML web app (React + Flask) helping farmers identify crops via image recognition, with OpenCV/Pandas-powered data pipelines.
- 🕸️ GraphOne / FrontierAtlas — AI Data Ingestion Pipeline — Asynchronous, fault-tolerant pipeline for large-scale AI ecosystem intelligence: bulk entity collection across startups, products, and research papers, multi-tier LLM fallback orchestration (Gemini → Groq Llama 3.3 → DeepSeek V3), and deterministic entity resolution at 500,000+ record scale.
🌍 Portfolio: sree22portfolio.vercel.app
- ✅ NPTEL: Programming, Data Structures and Algorithms using Python
- ✅ Data Analytics & Visualization using Microsoft Power BI
- ✅ Hacktoberfest Participant — COSC Club, CBIT
⭐️ "Building systems that see, and solutions that scale."