class HariniSriKB:
name = "Harini Sri K B"
location = "Madurai, India 🇮🇳"
degree = "B.Tech CSE (AIML) @ KARE, 2026"
github = "harinisrikb"
linkedin = "harini-sri-k-b"
stack = [
"Python", "Flask", "Streamlit",
"Flutter", "Firebase", "Scikit-learn",
"TensorFlow", "OpenCV"
]
currently_learning = [
"Oracle Cloud Infrastructure",
"Generative AI & Prompt Engineering",
"Advanced NLP"
]
fun_fact = "I built an ML model that detects strokes 🧠"
def motto(self):
return "Build intelligent. Build impactful. 🚀"Languages
Frameworks & Libraries
Cloud & DevOps
Databases & APIs
---
🏢 Qono Technologies — Web Development Intern | Jun 2024 – Jul 2024 | Coimbatore, India
- Developed 3+ responsive web pages using HTML, CSS, and JavaScript with Flask backend integration for dynamic content rendering.
- Collaborated in a team of 4 on API integration, deployment workflows, and cross-device responsive design.
- Gained hands-on experience with end-to-end web project delivery in a fast-paced internship environment.
🏢 GUVI HCL — Tech Intern | Sep 2024 – Oct 2024
- Completed hands-on tasks in Flask-based web app development and REST API design.
- Worked in a collaborative team environment, contributing to real-world Python and Flask projects.
- Reinforced best practices in REST API design and version control workflows.
| Project | Stack | Highlights |
|---|---|---|
| 🫀 Heart Stroke Prediction System | Python · Scikit-learn · XGBoost · Pandas | Trained on 5,000+ patient records · Compared 4 ML models · Achieved ~91% accuracy · Reduced false positives by ~18% via ensemble tuning |
| 🧠 Brain Tumor Segmentation System | Python · TensorFlow · Keras · Medical Imaging | Processed MRI brain scans for automated tumor segmentation · Deep learning-based medical image analysis · Improved visualization of tumor regions for diagnosis support |
| 🧠 Psychology Chatbot | Python · Scikit-learn · Streamlit · NLP | Assessed mental health across 5 response categories · ~85% classification accuracy on 1,200+ samples · Real-time Streamlit frontend |
| 🍱 Save Food App | Flutter · Firebase · Dart · Google Maps API | Cross-platform mobile app connecting donors & recipients · ~60% reduction in manual coordination · Real-time DB sync & 3 km radius Google Maps integration |
| 🏆 | Achievement | Details |
|---|---|---|
| ☁️ | Oracle Cloud Infrastructure 2025 – Data Science Professional | Certified in building & deploying ML models on Oracle Cloud Infrastructure |
| 🐍 | Web Development with Python Flask – GUVI HCL (2025) | Hands-on training in Flask web app development and REST API design |
| 🤖 | Generative AI – GUVI HCL (2025) | Covered GenAI fundamentals, prompt engineering, and AI-driven workflow design |
| Degree | Institution | Year | Score |
|---|---|---|---|
| B.Tech – CSE (Artificial Intelligence & Machine Learning) | Kalasalingam Academy of Research and Education, Krishnankoil | 2022 – 2026 | 8.13 / 10 CGPA |
| Higher Secondary Certificate (Class XII) | CEOA Matric Higher Secondary School, Madurai | 2020 – 2022 | 496 / 600 (83%) |
🧠 Generative AI → Prompt Engineering, LLM Fine-tuning, AI Workflows
☁️ Oracle Cloud → OCI Data Science, Model Deployment, ML Pipelines
📚 Advanced NLP → Transformers, Hugging Face, Text Classification
🔬 Deep Learning → Neural Networks, CNNs, TensorFlow Advanced


