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Adithyan Deepak

Adithyan Deepak

Robotics Engineer specializing in high-precision image segmentation for YOLO and supervised fine-tuning (SFT) for LLMs

India flagBengaluru, India
$20.00/hrEntry LevelCVATLabel StudioDoccano

Key Skills

Software

CVATCVAT
Label StudioLabel Studio
DoccanoDoccano

Top Subject Matter

Large Language Models
Indian Text Corpus

Top Data Types

TextText
ImageImage
AudioAudio

Top Task Types

Text GenerationText Generation
Question AnsweringQuestion Answering
Object DetectionObject Detection
Evaluation/RatingEvaluation/Rating
SegmentationSegmentation

Freelancer Overview

Custom LLM (GPT-style) Training from Raw Data. Brings professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include PyTorch. Deep focus on Computer Vision and Large Language Models (LLMs), I offer a blend of technical precision and theoretical expertise. I have hands-on experience developing and optimizing end-to-end ML pipelines, including building YOLOv8 object detection models and training a GPT-style LLM from scratch. This background allows me to provide "Gold Standard" annotations for complex tasks such as high-precision instance segmentation Education includes Bachelor of Technology, Garden City University (2024). AI-training focus includes data types such as Text and labeling workflows including Text Generation.

Entry LevelEnglishTamilMalayalam

Labeling Experience

Custom LLM (GPT-style) Training from Raw Data

TextText Generation
Independently trained a GPT-like language model using raw Indian textual datasets. Developed and managed tokenization, data preprocessing, and transformer architecture optimization for effective AI training. Focused on preparing datasets for large language model training with attention to data quality and consistency. • Handled the end-to-end process from raw data collection to processed training-ready inputs. • Built custom preprocessing scripts for language data normalization and cleaning. • Ensured high-quality annotation for supervised learning workflows. • Executed iterative quality checks and validation of generated labels.

Independently trained a GPT-like language model using raw Indian textual datasets. Developed and managed tokenization, data preprocessing, and transformer architecture optimization for effective AI training. Focused on preparing datasets for large language model training with attention to data quality and consistency. • Handled the end-to-end process from raw data collection to processed training-ready inputs. • Built custom preprocessing scripts for language data normalization and cleaning. • Ensured high-quality annotation for supervised learning workflows. • Executed iterative quality checks and validation of generated labels.

2023 - 2023

Education

G

Garden City University

Bachelor of Technology, Robotics Engineering

Bachelor of Technology
2024

Work History

C

Computer Vision, IoT Systems, Python, Data Structures

Coursework: Machine Learning

Location not specified
2024 - 2028