Abhishek Garg - Data Labeling Freelancer

Key Skills

Software

AWS SageMaker

Anno-Mage

Axiom AI

Data Annotation Tech

Deep Systems

iMerit

Labelbox

LabelImg

Label Studio

Mercor

Prodigy

Scale AI

SuperAnnotate

Internal/Proprietary Tooling

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code Programming

Image

Text

Top Label Types

Computer Programming Coding

Entity Ner Classification

Fine Tuning

RLHF

Text Generation

Company Overview

Codefeast bridges the gap between global clients and the right engineering talent by providing immediately deployable, pre-vetted professionals without the delays of traditional hiring cycles. Unlike conventional recruitment models that require clients to wait through 30, 60, or even 90-day notice periods, Codefeast delivers engineers who are ready to start immediately. Our talent pool consists of technically screened, English-proficient engineers who can seamlessly adapt to different time zones and integrate smoothly into international teams. This enables global companies to scale quickly without compromising communication or quality. Instead of committing to full-time hires with long-term financial obligations, clients can engage skilled contract engineers for six months or for the exact duration of their project, with the flexibility to extend as needed. This model significantly reduces hiring costs, overhead expenses, and onboarding delays while ensuring high-quality delivery. Codefeast empowers organizations to remain agile, cost-efficient, and execution-focused by providing the right talent at the right time.

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Security

Security Overview

Codefeast follows a structured security-first approach to protect client data and ensure confidentiality across all annotation and AI training workflows. We implement strict access controls, role-based permissions, and secure credential management to prevent unauthorized access. All project data is handled through encrypted environments, with secure file transfer protocols and restricted device policies. Our teams operate under signed NDAs and data protection agreements, and sensitive datasets are processed in controlled, access-limited systems. We maintain audit logs, internal quality reviews, and multi-layer validation workflows to ensure data integrity and compliance. Codefeast aligns its internal policies with GDPR principles, including data minimization, purpose limitation, and secure data retention practices. Where required, we adapt to client-specific security protocols, including on-premise tools, VPN-only access, or client-provided labeling platforms. Our goal is to deliver scalable AI data services while maintaining the highest standards of confidentiality, privacy, and operational security.

Security Credentials

GDPR

Labeling Experience

LLM Prompt Evaluation & RLHF Data Preparation Project

Label StudioTextQuestion AnsweringText Summarization

Codefeast supported large-scale LLM training workflows including prompt-response evaluation, RLHF ranking, summarization validation, and instruction tuning datasets. The project involved structured annotation guidelines, multi-layer quality review, inter-annotator agreement checks, and continuous feedback loops to improve consistency. Tasks included human evaluation of model outputs, bias detection, hallucination flagging, classification of responses, and contextual reasoning validation. The team operated under secure access environments with role-based permissions and audit tracking. Quality assurance included double-blind review sampling, performance benchmarking, and 95%+ target accuracy adherence. The project scaled to support high-volume text annotation with strict SLA timelines.

2024 - 2024