Jayasurya B.

Key Skills

Software

CVAT

Top Subject Matter

Geospatial data handling

mapping data

location-tagged datasets

Top Data Types

Image

Top Task Types

Mapping

Bounding Box

Segmentation

Classification

Entity (NER) Classification

Freelancer Overview

Full-Stack Development Intern — IIDT Tirupati / Blackbuck Engineers / APSCHE (8-week programme) | Structured geospatial-. Brings 1+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and CVAT. Education includes Bachelor of Technology, Godavari Institute of Engineering & Technology (2025). AI-training focus includes data types such as Geospatial, Tiled Imagery, and Image and labeling workflows including Mapping, Bounding Box, and Segmentation.

Labeling Experience

Full-Stack Development Intern - IIDT Tirupati

CVATImageBounding BoxSegmentation

Built and maintained a REST API-driven data pipeline for structured location and time-series datasets in a full-stack development internship. Designed relational schemas to support coordinate-tagged records and ensure data quality and consistency. Created dashboards and documentation to help surface annotation errors, validate ingested records, and communicate progress to mentors. • Developed REST API endpoints and data schemas for structured ingestion • Implemented data integrity validation and outlier/error flagging • Produced dashboards to review annotation-related issues • Delivered an end-to-end app within an 8-week program timeline

2024 - 2024

Project work (during internship period) — Real-Time IoT Data Pipeline & Analytics Dashboard | CVAT-based image labeling

CVATImageBounding Box

Applied image annotation concepts by labeling sensor-linked visual data using CVAT as part of a real-time IoT data pipeline project. Performed bounding box labeling and object tagging/classification to bridge structured records with corresponding visual annotations. Integrated the labeled outputs into analytics dashboards for reviewing annotated live data streams. • Annotated sensor-linked visuals with CVAT • Used bounding boxes and object tagging for classification • Bridged structured time-series/location data with image labels • Supported map-layer style review via dashboards and sprint demos

2024 - 2024

Full-Stack Development Intern — IIDT Tirupati / Blackbuck Engineers / APSCHE (8-week programme) | Structured geospatial-style data labeling for REST API pipeline

Mapping

Worked on structured location and time-series dataset annotation within a REST API-driven data pipeline for mapping-style geospatial records. Labeled and organized coordinate-tagged information, enforcing quality and consistency across ingested records and validating data integrity. Produced dashboards and flagged outliers to support review of annotation errors and schema violations. • Labeled location/time-series fields for REST API ingestion workflows • Designed relational schemas for coordinate-tagged geospatial-style records • Validated ingested data integrity and surfaced annotation errors • Documented API endpoints and data schemas for team QA alignment

2024 - 2024

Education

Work History