Anshul K.

Key Skills

Software

AWS SageMaker

Clickworker

Data Annotation Tech

Google Cloud Vertex AI

Labelbox

Micro1

Label Studio

OpenCV AI Kit (OAK)

OneForma

Scale AI

Remotasks

Top Subject Matter

Hospitality lead analysis and automated agentic video generation

Geospatial analytics and BI dataset preparation

Automotive computer vision for car damage detection

Top Data Types

Text

Computer Code Programming

Audio

Top Task Types

Function Calling

Data Collection

Object Detection

Bounding Box

Polygon

Segmentation

Classification

Entity (NER) Classification

Point/Key Point

Text Generation

Question Answering

Text Summarization

RLHF

Fine-tuning

Transcription

Evaluation/Rating

Computer Programming/Coding

Prompt + Response Writing (SFT)

Polyline

Freelancer Overview

Data Scientist (Agentic AI and Vision R&D/Production), ZapCom Solutions Pvt Ltd. Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include AWS Bedrock, Tableau, and Detectron2. Education includes Bachelor of Engineering, BITS Pilani - Goa Campus (2023). AI-training focus includes data types such as Video, Computer Code, and Programming and labeling workflows including Function Calling, Data Collection, and Object Detection.

Labeling Experience

Data Scientist (Agentic AI and Vision R&D/Production), ZapCom Solutions Pvt Ltd

VideoFunction Calling

Led the agentic-AI layer of a lead-analysis platform, generating per-lead call-center scripts and conversion reasoning using AWS Bedrock with Python orchestration. Designed and prototyped a multi-agent video generation pipeline for automated video content in hospitality. Owned the end-to-end workflow from data processing through production deployment for AI outputs. • Produced structured reasoning artifacts per lead to drive downstream call-center actions. • Coordinated multi-agent tasks including research, fact-checking, and creative overlay decisions. • Used FFmpeg-based rendering and transcription time-alignment for accurate text overlays. • Built an agentic credit-scoring simulator for thin-file users using behavioral and financial signals.

2023 - Present

Machine Learning Engineer - Computer Vision Intern, Carscan South Africa

Object Detection

Conducted research and development for computer vision models to detect and categorize car damage from images. Compared bounding-box and polygon segmentation approaches and achieved 88%+ accuracy with bounding boxes. Took models from research through training to deployment using an end-to-end computer vision pipeline. • Benchmarked detection methods using Detectron2 and MMDetection. • Built supporting image-classification models in PyTorch for damage-type categorization. • Implemented full preprocessing-to-deployment workflows with OpenCV and ResNet-based architectures. • Optimized infrastructure to reduce GPU spend during development windows on AWS EC2.

2022 - 2023

Data Scientist Intern (Geospatial Analytics & BI), Nestlé India

Data Collection

Processed large-scale logistics datasets in Python and produced geotagged mappings for a nationwide warehouse network. Built Tableau dashboards to support data-informed routing and project decisions for leadership and stakeholders. While not explicitly labeled, the work involved preparing analytics-ready datasets to power downstream AI/BI. • Geotagged warehouse locations using logistics data processing in Python. • Created Tableau dashboards to translate processed data into actionable insights. • Supported routing and planning decisions using analytics outputs. • Performed dataset preparation work suitable for downstream model training/analysis pipelines.

2022 - 2022

Education

Work History