class Theertha:
def __init__(self):
self.name = "Theertha Edneer"
self.location = "Kerala, India 🇮🇳"
self.degree = "B.E. — Artificial Intelligence & ML"
self.college = "Alva's Institute of Engineering & Technology"
self.cgpa = 8.3
self.semester = "6th Semester (Expected 2027)"
self.stack = [
"Python", "PyTorch", "TensorFlow",
"Scikit-learn", "OpenCV", "SQL"
]
self.currently_learning = [
"Vertex AI & GCP MLOps",
"Vector Databases (FAISS, Pinecone)",
"LLM Fine-tuning & RAG Pipelines"
]
self.fun_fact = "I play Chenda 🥁 and build ML models — both need rhythm!"
def motto(self):
return "Ship fast. Learn faster. Deploy smarter. 🚀"
me = Theertha()
print(me.motto())Languages
Frameworks & Libraries
Cloud & MLOps
Databases
GenAI & Tools
| 🚀 Project | 🛠️ Stack | ✨ Highlights |
|---|---|---|
| Object Detection in Video Streams | Python · PyTorch · YOLOv5 · DeepSORT · OpenCV · BERT | 94.48% detection accuracy @ 42 FPS; BERT-based contextual query retrieval; GCP-ready for cloud-native ML inference |
| Phishing Detection System | Python · Scikit-learn · Pandas · NumPy | 93% detection accuracy; URL-feature extraction (length, domain age, special chars); optimized FP/FN rates; hackathon project |
| 🎖️ | Achievement | Details |
|---|---|---|
| 🏆 | Google Generative AI Certificate | Google Career Launchpad — Prompt Engineering, LLMs, Embeddings |
| 🧠 | AI Foundation Certificate | Infosys Springboard — Artificial Intelligence fundamentals |
| 📜 | NPTEL Certifications | Introduction to C Programming & Python |
| 💻 | LeetCode | 100+ problems solved — strong DSA foundations |
| ⚔️ | CodeChef | 50+ problems solved |
| 🥁 | Cultural Team — Chenda | Active college cultural performer; teamwork & collaboration |
| 🎓 Degree | 🏫 Institution | 📅 Year | 📊 Score |
|---|---|---|---|
| B.E. — Artificial Intelligence & Machine Learning | Alva's Institute of Engineering & Technology, Moodbidri | 2023 – 2027 | CGPA: 8.3/10 |
🤖 Generative AI → RAG Pipelines, LLM Fine-tuning, Prompt Engineering
☁️ GCP & MLOps → Vertex AI, Cloud Run, CI/CD for ML workloads
🗄️ Vector Databases → FAISS, Pinecone, Semantic Search
📊 Advanced SQL → Window Functions, Query Optimization, Indexing
🔐 AI Security → Adversarial ML, Cybersecurity ML applications