Daniel Chakravarthy P.

Key Skills

Software

Other

Top Subject Matter

Labeling the data for supervised learning, NLP for business automation (text classification and information extraction)

Training the AI Models with the dataset and getting the accuracy of 98%

Computer Vision, Object detection, Supervised Learning, Unsupervised Learning

Top Data Types

Text

Image

Video

Top Task Types

Entity (NER) Classification

Bounding Box

Classification

Object Detection

Text Generation

Question Answering

Text Summarization

Freelancer Overview

As a AI developer I have worked on Generative AI projects such as chatbot, voicebot with LLM integration, NLP, used machine learning models such as CNN and algorithms for object detection, supervised learning, unsupervised learning, feature engineering, computer vision

Labeling Experience

AI Developer / Graphic Designer (Transition Role) at Maajitha Infotech Pvt Ltd

OtherTextEntity (NER) Classification

Worked on NLP pipelines for business automation tasks including text classification and information extraction. Contributed to preparing and using annotated/derived training data for downstream NLP models and integrated the resulting AI features into applications. Supported iteration of model performance for production readiness based on observed outcomes. • Text classification and information extraction workflow design • Model experimentation with TensorFlow and PyTorch • Integration of NLP modules into REST API services • Collaboration with cross-functional teams to deploy AI features

2024 - 2024

AI Developer / Graphic Designer (Transition Role) at Hancock Media Pvt Ltd

OtherTextEntity (NER) Classification

Designed machine learning models for data-driven insights and built NLP pipelines targeting text classification and information extraction. Automated manual workflows and used the processed data to improve efficiency by ~30%, indicating active preparation of datasets for training and inference. Integrated trained ML models into applications through REST APIs and supported deployment into production environments. • Text classification dataset preparation and NLP pipeline development • Information extraction and automation of business workflows • REST API integration for ML model inference • Iterative model experimentation using TensorFlow and PyTorch

2019 - 2023

Education

Work History