Mansi P.

Key Skills

Software

Label Studio

Don't disclose

Top Subject Matter

Geospatial satellite imagery and semantic segmentation

Generative AI assistant and chatbot automation

Business analytics datasets (sales, FDI, attrition) prepared for AI/ML usage

Top Data Types

Image

Top Task Types

Segmentation

Prompt + Response Writing (SFT)

Tracking

Freelancer Overview

AI Developer at BISAG-N working on computer vision and geospatial ML projects with image labeling and training. Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Label Studio, Don't disclose, and Tableau. Education includes Bachelor of Technology, Dr. APJ Abdul Kalam Technical University (2025) and Higher Secondary School Certificate, DAV Public School, Brij Vihar (2021). AI-training focus includes data types such as Geospatial, Tiled Imagery, and Computer Code and labeling workflows including Segmentation, Prompt + R

Labeling Experience

AI Developer - BISAG-N

Label StudioImageSegmentationTracking

As an AI Developer, they work on AI/ML and geospatial projects using computer vision and satellite imagery workflows. They handle tasks spanning image preprocessing and model development, with emphasis on semantic segmentation. They also support land parcel estimation and pipeline monitoring using GIS tooling. • Develop and train computer vision models for geospatial analysis • Perform image preprocessing and experiment tracking • Apply DeepLab with TensorFlow and PyTorch for training workflows • Support geospatial analysis and monitoring using QGIS

2025 - Present

AI Developer at BISAG-N working on computer vision and geospatial ML projects with image labeling and training

Label StudioSegmentation

Performed image labeling, preprocessing, and model training for geospatial computer vision tasks including semantic segmentation and satellite imagery analysis. Used DeepLab-based workflows to support training pipelines for vision models on labeled image data. Applied labeling activities aligned to government geospatial monitoring needs. • Labeled and preprocessed imagery for training data preparation • Supported semantic segmentation model training using DeepLab • Used QGIS-related outputs for land parcel estimation and monitoring • Trained models with Deep Learning frameworks and labeling tool integration

2025 - Present

Data Science Intern at Unified Mentor contributing to data preparation and analysis for AI-relevant insights

Supported data analysis and visualization work as part of real-world analytics projects, contributing to the preparation of datasets used for downstream AI/ML understanding. Performed data cleaning and exploratory analysis to improve data quality for modeling and insight generation. Created interactive dashboards to communicate findings derived from structured business data. • Cleaned and prepared datasets via data cleaning pipelines • Conducted exploratory data analysis (EDA) and visualization • Produced Tableau dashboards for business insights delivery • Applied Python-based processing using Pandas and Matplotlib

2024 - 2024

AI Intern at Adbird Media Pvt Ltd building and deploying an in-workflow generative AI assistant

Don't disclosePrompt + Response Writing (SFT)

Built a personalized Generative AI assistant tailored to the company workflow and designed chatbot experiences for customer engagement. Implemented conversational automation that required curating and configuring AI interactions for use in real scenarios. Contributed to deploying chatbot solutions as part of an AI internship deliverable. • Designed chatbot flows for customer engagement automation • Tailored a Generative AI assistant to internal workflow requirements • Worked on deployment of chatbot components for production use • Iterated AI interaction behavior based on project feedback

2023 - 2023

Education

Work History