Prajakta D.

Key Skills

Software

Other

Top Subject Matter

Data Annotation & Labeling (Text, Image, Multimodal)

Generative AI / LLMs for business use cases

Customer Support / Conversational AI

Top Data Types

Text

Image

Top Task Types

Prompt + Response Writing (SFT)

Diagnosis

Classification

Text Generation

Question Answering

Text Summarization

Fine-tuning

Transcription

Evaluation/Rating

Object Detection

RLHF

Bounding Box

Freelancer Overview

I have experience working with AI and Machine Learning through both academic projects and industry exposure. During my Generative AI internship at Cache Labs, I worked on AI-driven solutions involving prompt engineering, LLM-related workflows, data preparation, model improvement activities, and evaluation of AI outputs. These experiences strengthened my ability to work with AI data processes while maintaining accuracy, consistency, and attention to detail. My final year project involved glaucoma detection from retinal images using Deep Learning, where I worked with image datasets, preprocessing, training workflows, and data analysis. I have hands-on experience with Python, Machine Learning, Deep Learning, and Generative AI, along with strong analytical and research skills. I am also Google certified (Associate Data Practitioner, Associate Cloud Engineer, and Cloud Digital Leader). My technical background combined with attention to detail, adaptability, and interest in AI systems makes me well suited for data labeling, annotation, AI training data, and model evaluation tasks.

Labeling Experience

Final Year Project — Glaucoma Detection from Retinal Images using Deep Learning

OtherDiagnosis

Completed a final-year deep learning project for glaucoma detection from retinal images, involving end-to-end data preparation and model training workflows. Focused on medical image analysis, image preprocessing, and classification workflows to improve diagnostic performance. Strengthened skills in handling medical image datasets for an AI classification use case. • Performed image preprocessing and data preparation for training • Trained a deep learning model using retinal image datasets for glaucoma detection • Applied machine learning/deep learning methods for medical image classification • Built practical competency in image-based AI classification workflows and data handling

2024 - 2024

AI / ML Engineer Intern — Generate AI Intern (Cache Labs)

Don't discloseTextPrompt + Response Writing (SFT)

Worked as an AI/ML intern on generative AI workflows that required preparing and refining data to improve downstream model outputs. Performed prompt engineering and evaluation to increase response quality and supported LLM fine-tuning initiatives for company-specific requirements. Helped with testing, validation, and performance assessment of AI systems to maintain accuracy and consistency. • Prepared, organized, and refined datasets for AI workflows and model improvement tasks • Authored and iterated prompts and evaluated AI responses for quality and consistency • Supported LLM fine-tuning tasks aligned to internal business requirements • Collaborated on QA-style testing, validation, and performance assessment activities

2023 - 2024

Education

Work History