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Zeeshan Sardar

Zeeshan Sardar

Agency
Ireland flagDublin, Ireland
$50.00/hrExpert4+HIPPA

Key Skills

Software

CVATCVAT
LabelboxLabelbox
LabelImgLabelImg
Surge AISurge AI
RoboflowRoboflow
V7 LabsV7 Labs
TolokaToloka

Top Subject Matter

No subject matter listed

Top Data Types

TextText
VideoVideo
3D Sensor

Top Task Types

SegmentationSegmentation
PolygonPolygon
Entity (NER) ClassificationEntity (NER) Classification
RLHFRLHF
Question AnsweringQuestion Answering

Company Overview

Nexa Lytics Limited provides services in the domain of AI, where it helps its clients to automate their existing manual and slow processes using the latest Gen AI technologies. Our expertise includes high-quality data annotations, AI training, and AI automation. Our clients include KPMG, Zinkworks, and Zai Tech.

ExpertEnglishHindi

Security

Security Overview

Physical security: - Access-controlled entry (badge or biometric) with per-person logged entry/exit. - CCTV covering workstations and entry points. - No personal devices, phones, or cameras inside labeling zones — locker storage at entry. - Visitor log and mandatory escort. Cybersecurity - Isolated network segment for labeling workstations; no internet access beyond whitelisted annotation tools. - VDI or thin clients so client data never lands on local disk; disable USB ports, printing, and clipboard/screenshot where the annotation tool supports it. - MFA, SSO, role-based access with least privilege. Employee confidentiality and data handling - Project-specific NDAs signed before access is provisioned. - Background checks are proportional to data sensitivity. - Mandatory onboarding training on GDPR and secure handling, refreshed annually, with attestation logged.

Security Credentials

HIPPA

Labeling Experience

Evaluation of RAG for KPMG

OtherTextClassification
This was to evaluate the responses of the RAG agent for financial baseline generation for KPMG. The inputs were user queries, and the responses were text and corresponding tables/graphs. The responses were evaluated from sugject matter expert.

This was to evaluate the responses of the RAG agent for financial baseline generation for KPMG. The inputs were user queries, and the responses were text and corresponding tables/graphs. The responses were evaluated from sugject matter expert.

2025 - 2025
CVAT

Annotation of Segmentation Images

CVATImageSegmentationClassification
This project was about labeling the depth images for an automated welding robot. The input data was in the form of images captured using Intel RealSense. The two types of annotations were performed, including segmentation and classification, to help the robots do the welding tasks automatically.

This project was about labeling the depth images for an automated welding robot. The input data was in the form of images captured using Intel RealSense. The two types of annotations were performed, including segmentation and classification, to help the robots do the welding tasks automatically.

2024 - 2025