Vardhan Reddy Goli

Key Skills

Software

OneForma

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code Programming

Text

Top Label Types

Classification

Question Answering

Computer Programming Coding

Freelancer Overview

I am a Computer Science graduate with a strong background in Artificial Intelligence and Machine Learning, specializing in building and optimizing real-world AI solutions. My hands-on experience includes developing an AI chatbot using Python, NLTK, and scikit-learn, where I handled tasks such as text preprocessing, tokenization, and intent recognition—key components of effective data labeling and annotation in NLP projects. I have also worked on a deep learning project for tomato leaf disease detection, leveraging image data from Kaggle and applying labeling techniques for accurate model training and validation. Proficient in Python, SQL, and cloud technologies like Google Cloud and Docker, I am passionate about ensuring high-quality training data and continuously improving AI model performance through careful data preparation and analysis.

Labeling Experience

AI Training & Data Annotation (Computer Science & Physics)

Scale AITextClassificationQuestion Answering

Worked as a contributor on the Remotasks platform, supporting the development of artificial intelligence systems through advanced data annotation, evaluation, and training tasks. The role involved applying concepts from computer science and physics to analyze technical problems, label complex datasets, and verify AI-generated outputs for accuracy and logical consistency. Responsibilities included reviewing scientific and technical content, solving computational or physics-based problems, and providing structured feedback to improve machine learning models. This work required strong analytical thinking, knowledge of algorithms and scientific principles, and the ability to break down complex problems into clear, machine-understandable data for AI training.

Worked as a contributor on the Remotasks platform, supporting the development of artificial intelligence systems through advanced data annotation, evaluation, and training tasks. The role involved applying concepts from computer science and physics to analyze technical problems, label complex datasets, and verify AI-generated outputs for accuracy and logical consistency. Responsibilities included reviewing scientific and technical content, solving computational or physics-based problems, and providing structured feedback to improve machine learning models. This work required strong analytical thinking, knowledge of algorithms and scientific principles, and the ability to break down complex problems into clear, machine-understandable data for AI training.

2024 - 2025

Education

Work History