Vineeth T P zev-walker

class Vineeth:
    def __init__(self):
        self.name = "Vineeth TP"
        self.location = "Kerala, India"
        self.degree = "B.Tech in ECE, APJ Abdul Kalam Technological University (KTU)"
        self.stack = ["Python", "NumPy", "Pandas", "Scikit-learn", "PyTorch"]
        self.currently_learning = [
            "Deep Learning fundamentals",
            "Kaggle Titanic competition",
            "Multimodal AI & agentic systems"
        ]
        self.fun_fact = (
            "Has terraformed more virtual worlds in Minecraft "
            "than ML models deployed to production — for now."
        )

    def motto(self):
        return (
            "The Universe is under no obligation to make sense to us, "
            "so we build models to understand it anyway."
        )


vineeth = Vineeth()
print(vineeth.motto())

🛠️ Tech Stack

Languages

ML / Data

Tools

💼 Work Experience

Sutherland Global Services Ltd. — IT Associate | 2024 – 2025 (1 Year, 1 Month)

Technical Support Salesforce CRM Remote Access Tools

Provided technical support via live chat for global customers, resolving software issues, malware threats, and security concerns
Assisted customers using remote access tools (LogMeIn) and managed high-volume dual chat sessions efficiently
Supported non-technical and elderly users with clear, patient guidance
Handled subscriptions, refunds, and customer retention; documented all cases and follow-ups using Salesforce (CRM)

Techmindz — AI and ML Intern | 2024 – 2025 (9 Months)

Machine Learning Deep Learning LLMs Data Preprocessing

Learned the fundamentals of Machine Learning and Deep Learning from the ground up
Built basic ML models and neural networks, and worked on introductory deep learning projects
Gained exposure to Large Language Models (LLMs)
Performed data preprocessing and model evaluation, applying ML concepts through hands-on mini projects

Teachmaghi — Embedded Systems and Robotics Intern | 2023 (5 Days)

Microcontrollers Sensor Interfacing Embedded Systems

Acquired practical experience in microcontroller programming and sensor interfacing
Gained exposure to real-time embedded system integration

🚀 Featured Projects

Project	Stack	Highlights
AstroVision Advanced	Python, Streamlit, Zoobot, PyTorch, Gemini API	Fine-tuned Zoobot (ConvNeXT Nano) on Galaxy10 DECals (17,736 images); 92.9% validation accuracy across 5 galaxy classes; model hosted on Hugging Face; deployed live on Streamlit Cloud
AstroVision	Python, Streamlit, CLIP, Gemini API	Zero-shot galaxy morphology classifier using CLIP across 5 classes; Gemini-powered PDF research assistant for astronomy papers
Titanic Survival Prediction	Python, Pandas, Scikit-learn, Matplotlib	End-to-end ML workflow: EDA, preprocessing, feature selection, Logistic Regression vs Random Forest comparison (76.7% vs 70.2% accuracy)
Wine Quality Classification	Python, Scikit-learn, Random Forest, SVM	ML classifier comparing Random Forest and SVM; rebuilt to fix data leakage and clean up evaluation pipeline

🏆 Achievements

	Achievement	Details
🟢	Kaggle: Python	Course completed
🟢	Kaggle: Intro to Machine Learning	Certificate earned
🟢	Kaggle: Intermediate Machine Learning	Certificate earned
🤖	Anthropic: AI Fluency	Certificate earned
🧠	IBM: Introduction to Artificial Intelligence	Completed via Coursera
📊	DeepLearning.AI × Stanford: Supervised Machine Learning	Completed via Coursera (Andrew Ng's ML Specialization, Course 1)

🎓 Education

Degree	Institution	Year
B.Tech in Electronics & Communication Engineering	Al Ameen Engineering College, Kulappully (APJ Abdul Kalam Technological University)	2020 – 2024

📚 Currently Learning

🔥 PyTorch           → Deep learning, fine-tuning pretrained models
📊 Andrew Ng ML Specialization → Coursera (Course 1 completed)
🏠 House Price Prediction → End-to-end structured ML project (in progress)
🚀 Long-term         → Multimodal AI, agentic systems

📫 Reach me at vineethav1333@gmail.com or on LinkedIn

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