Bandi J.

Key Skills

Software

Other

Top Subject Matter

Autonomous vehicles (LiDAR point cloud annotation)

Front-end web development (HTML/CSS)

Top Data Types

3D Sensor

Text

Top Task Types

Object Detection

Tracking

Entity (NER) Classification

Freelancer Overview

Quality Analyst (LiDAR Project) at Venture Softtech Pvt Ltd. Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Master of Computer Applications, Sri Venkateshwara College of Engineering, Tirupati (2026) and Bachelor of Science, Shri Gnanambica Degree College, Madanapalli (2022). AI-training focus includes data types such as 3D Sensor and Text and labeling workflows including Object Detection, Computer Programming, and Coding.

Labeling Experience

Web Technologies Intern at Apex Planet

OtherText

Supported web technology development tasks focused on front-end implementation rather than AI labeling or training-specific annotation. Assisted with debugging and performance optimization to improve website responsiveness and user experience. Applied web technology knowledge in a real project environment to strengthen practical engineering skills. • Built responsive web layouts using HTML and CSS. • Assisted debugging efforts with the development team. • Optimized website performance for better user experience. • Applied course knowledge to real-world front-end tasks.

2025 - 2025

Quality Analyst (Project QA) - Venture Softtech Pvt Ltd

3D SensorTrackingEntity (NER) Classification

As a Quality Analyst for the LiDAR project, they conducted quality assurance on large datasets used for autonomous vehicle ML training. They analyzed complex 3D point cloud data to identify and label objects with high precision. The position required strong attention to detail, dataset validation skills, and collaboration to refine annotation guidelines for high accuracy delivery. • Performed QA checks on large LiDAR-related datasets • Verified labeling accuracy for training data • Collaborated to refine annotation guidelines to improve precision • Supported data validation processes to meet 99% accuracy targets

2022 - 2022

Quality Analyst (LiDAR Project) at Venture Softtech Pvt Ltd

Other3D SensorObject Detection

Performed LiDAR data annotation for autonomous vehicle use cases by analyzing 3D point cloud frames and labeling relevant objects with high precision. Executed quality assurance checks on large-scale datasets to validate label accuracy and consistency for downstream machine learning training. Partnered with the team to refine annotation guidelines and maintain high accuracy across the labeling pipeline. • Labeled objects within 3D point cloud data for autonomous driving. • Conducted QA validation over sizable datasets to ensure training-ready quality. • Worked on guideline refinement to achieve consistent high-accuracy labels. • Supported delivery of labeled data for ML model training.

2022 - 2022

Education

Work History