I possess a strong skill set in data labeling and AI training, with expertise in image annotation, NLP, multimodal AI evaluation, and model fine-tuning. As a Computer Science major, I have developed a solid foundation in programming, machine learning algorithms, and AI methodologies, which allows me to efficiently work on complex AI projects. My technical proficiency includes tools and libraries such as TensorFlow, PyTorch, LabelMe, and Scikit-learn, alongside skills in Python, JavaScript, and SQL.
What sets me apart is my hands-on experience across a diverse set of AI projects, such as the Dolphin Audio-to-Text Project , where I worked on converting audio data to text, and the Visual Complex Reasoning Project, where I performed detailed image data annotation for advanced AI reasoning. Additionally, my work on Flamingo Linguistics Project involved creating datasets for multilingual AI, ensuring accurate and contextually relevant outputs across languages like English, Hindi, and Urdu. I have also contributed to multimodal AI projects, including the Multimodal Frappuccino Mathematics Projects, which integrated mathematical, textual, and visual data for complex problem-solving. I worked on the Laurelin Sun Math Reasoning Project, where I developed datasets to train AI for high-level mathematical problem-solving, as well as the Bulba Linguistics Projects, which focused on linguistics data for language-based AI models.
IntermediateHindiUrduSpanish
Labeling Experience
AI Training for Coding(Rich System Prompt Project)
- Worked on AI training project focused on rectifying coding prompts across various programming languages, including Python, C, C++, JavaScript, and JSON.
- Performed annotating and refining code-related prompts to enhance AI’s ability to understand and generate accurate code snippets, improving model performance for coding tasks across multiple languages.
- Worked on AI training project focused on rectifying coding prompts across various programming languages, including Python, C, C++, JavaScript, and JSON.
- Performed annotating and refining code-related prompts to enhance AI’s ability to understand and generate accurate code snippets, improving model performance for coding tasks across multiple languages.
2024 - 2024
AI Math Evaluation(Project Blue Wizards, Laurelin Sun Reasoning, MM Frapuccino)
Scale AITextText GenerationRLHF
- Contributed to data annotation and model training for mathematical problem-solving tasks, improving AI's capability to understand and generate accurate mathematical responses.
- Focused on integrating different data types (visual, textual, and mathematical) to enable the AI to perform complex mathematical reasoning tasks.
- Worked on developing and refining AI models for advanced mathematical reasoning, improving the accuracy and reliability of problem-solving algorithms.
- Contributed to data annotation and model training for mathematical problem-solving tasks, improving AI's capability to understand and generate accurate mathematical responses.
- Focused on integrating different data types (visual, textual, and mathematical) to enable the AI to perform complex mathematical reasoning tasks.
- Worked on developing and refining AI models for advanced mathematical reasoning, improving the accuracy and reliability of problem-solving algorithms.
2024 - 2024
AI Training(Project Dolphin)
Scale AIAudioClassificationText Generation
• Performed audio-to-text summarization and prompt/response writing for over 100 tasks.
• Performed audio-to-text summarization and prompt/response writing for over 100 tasks.
2024 - 2024
Data Annotation(Project Honeypot)
LabelboxTextClassificationRLHF
• Conducted precise data annotation for linguistic projects in Hindi, enabling high-quality training datasets for LLMs.
• Reviewed and validated annotated data to ensure linguistic accuracy and contextual relevance, improving model
performance in multilingual applications.
• Conducted precise data annotation for linguistic projects in Hindi, enabling high-quality training datasets for LLMs.
• Reviewed and validated annotated data to ensure linguistic accuracy and contextual relevance, improving model
performance in multilingual applications.
2024 - 2024
AI Training(Linguistics Projects- Project Bulba, Flamingo)
Scale AITextText GenerationText Summarization
• Executed data annotation and review for diverse linguistic(Hindi and English), mathematical, and image datasets, ensuring precision and
quality across varied project requirements.
• Developed and refined prompts for NLP models, enhancing AI comprehension and response accuracy for linguistics,
mathematical problem-solving, and image-based tasks.
• Executed data annotation and review for diverse linguistic(Hindi and English), mathematical, and image datasets, ensuring precision and
quality across varied project requirements.
• Developed and refined prompts for NLP models, enhancing AI comprehension and response accuracy for linguistics,
mathematical problem-solving, and image-based tasks.
2024 - 2024
Education
J
Jaypee University of Information Technology
BTech in Computer Science, Computer Science
BTech in Computer Science
2021 - 2024
Work History
D
Defence Research and Development Organisation(DRDO)