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Pujolaras

Pujolaras

Dexter — Autonomous LLM Research Agent (Manual output review)

Indonesia flagMalang, Indonesia

Key Skills

Software

Data Annotation TechData Annotation Tech

Top Subject Matter

LLM agent evaluation and prompt/response assessment
Smart contract vulnerability research and code correctness evaluation
Legal Services & Contract Review

Top Data Types

TextText
DocumentDocument
Computer Code ProgrammingComputer Code Programming

Top Task Types

Text GenerationText Generation
Question AnsweringQuestion Answering
RLHFRLHF
Red TeamingRed Teaming

Freelancer Overview

Dexter — Autonomous LLM Research Agent (Manual output review). Brings 4+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Don't disclose and ImHex. Education includes Bachelor of Computer Science, BINUS University (2029). AI-training focus includes data types such as Text, Computer Code, and Programming and labeling workflows including Evaluation, Rating, and Computer Programming.

Labeling Experience

Smart Contract Vulnerability Research (ongoing code review & analysis)

Conducted line-by-line code reviews and binary analysis to detect smart contract security vulnerabilities. This experience supports code correctness and reasoning-quality evaluation for programming-focused labeling tasks. • Identified security flaws via systematic code inspection. • Analyzed binary/compiled behavior for vulnerability signals. • Applied precision-focused review methods for code annotation needs. • Translated technical findings into actionable correctness assessments.

2023 - Present

Dexter — Autonomous LLM Research Agent (Manual output review)

Don't discloseTextText

Manually reviewed LLM agent outputs for accuracy, coherence, and instruction-following. The work functioned as an evaluation and rating pass over model responses to determine whether they matched expected behavior. • Evaluated instruction-following quality of autonomous agent responses. • Assessed coherence and response correctness/accuracy. • Provided qualitative judgment aligned with RLHF-style criteria. • Verified output quality before refinement cycles.

2024 - 2024

Education

B

BINUS University

Bachelor of Computer Science, Computer Science

Bachelor of Computer Science
2025 - 2029

Work History

S

Self-Directed Project

Smart Contract Security Researcher

Malang
2023 - Present
S

Self-Directed Project

Real-Time OSINT Scraper Developer

Malang
2024 - 2024