Smita S.

Key Skills

Software

Don't disclose

Other

Google Cloud Vertex AI

Top Subject Matter

Computer Vision and LLM Training (Human-in-the-Loop AI)

Time-Series Forecasting and Machine Learning

Top Data Types

Image

Top Task Types

Data Collection

Entity (NER) Classification

Freelancer Overview

Human-in-the-Loop AI Analyst (Freelance). Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose, Other, and Google Cloud Vertex AI. Education includes Bachelor of Technology, United College of Engineering and Research (2025). AI-training focus includes data types such as Image, Computer Code, and Programming and labeling workflows including Data Collection and Named Entity Recognition.

Labeling Experience

Human-in-the-Loop AI Analyst (Freelance) - Innodata

Google Cloud Vertex AIImageEntity (NER) Classification

You worked as a Human-in-the-Loop AI Analyst (freelance) in a remote capacity supporting AI pipeline readiness. You reviewed and validated visual datasets to help computer vision and LLM training pipelines with quality assurance. You ensured high-quality outputs by following annotation guidelines and QA standards in production workflows. • Annotated and validated visual datasets for CV and LLM pipeline support • Followed strict annotation guidelines to maintain consistency • Performed QA checks to ensure dataset quality • Supported production workflows with human-in-the-loop review

2025 - Present

Human-in-the-Loop AI Analyst (Freelance)

Don't discloseImageData Collection

Performed human-in-the-loop data annotation to support computer vision and LLM training workflows. Annotated, reviewed, and validated visual datasets while following strict annotation guidelines and QA standards. Contributed to improving dataset quality for downstream model development and evaluation in a production setting. • Annotated visual data for CV/LLM pipelines • Reviewed and validated annotations • Followed guideline-driven QA and validation procedures • Ensured high data quality for training and production workflows

2025 - Present

AI-ML Intern (Part-time) - Crypto Price Prediction Web App

OtherData Collection

Built an AI/ML crypto price forecasting application as part of an internship focused on model development and data preprocessing. While the role is primarily development-oriented, the work included preparing data for training and optimizing model performance via automated retraining workflows. Supported iterative experimentation by improving the data pipeline feeding the LSTM forecasting model. • Developed an LSTM-based forecasting web application • Optimized model performance through data preprocessing • Automated retraining workflows for iterative updates • Implemented the solution using a web/ML pipeline (Django, Celery-Redis)

2025 - 2025

Education

Work History