Lincon P.

Key Skills

Software

Remotasks

Other

Top Subject Matter

Large Language Model (LLM) prompt engineering

reasoning traces

and code quality evaluation

Top Data Types

Text

Top Task Types

Prompt + Response Writing (SFT)

Freelancer Overview

AI Training Specialist / Prompt Engineer at Remotask (AI training via CoT writing, logical auditing, and instruction tun. Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Remotasks and Other. Education includes Bachelor of Science, Arizona State University (2022). AI-training focus includes data types such as Text, Computer Code, and Programming and labeling workflows including Prompt + Response Writing (SFT), Computer Programming, and Coding.

Labeling Experience

Full-Stack Developer / AI Systems Engineer - Upwork

RemotasksText

Full-stack developer and AI systems engineer delivering production-ready applications for freelance clients. Built end-to-end AI workflows that combined Python services, modern web interfaces, and LLM API integrations. Contributed to scalable deployment and code quality through MLOps practices and rigorous review processes. • Developed AI workflow features with Python, FastAPI, React, and OpenAI APIs • Implemented MLOps and infrastructure with Docker, Kubernetes, and CI/CD pipelines • Built prompt engineering strategies including chain-of-thought and few-shot prompting • Conducted code reviews, debugging, performance optimization, and logging/monitoring for reliability

2024 - 2025

Full-Stack Developer / AI Systems Engineer (Upwork freelance) focused on AI workflow development and LLM prompt strategy integration

Other

Built and improved AI workflow components that integrate LLM pipelines, embeddings, and evaluation-ready prompt strategies. Designed scalable MLOps infrastructure and implemented mechanisms for reliability, observability, and performance optimization in production settings. Contributed to code review and mentorship by debugging and improving technical artifacts across repositories. • Developed AI workflows using Python, FastAPI, React, and OpenAI APIs with end-to-end pipelines integrating vLLM and embedding models. • Implemented scalable MLOps workflows using Docker, Kubernetes, and CI/CD pipelines for automated deployments and integration testing. • Created prompt engineering strategies (including few-shot prompting and chain-of-thought style approaches) for personalized contextual outputs. • Optimized LLM workflow performance using caching, comprehensive logging, and monitoring while improving developer velocity through PR reviews.

2024 - 2025

AI Prompt Engineer - Remotask

RemotasksText

AI prompt engineer creating detailed reasoning content to support language model performance. Focused on generating and auditing structured chain-of-thought rationales for complex tasks across coding and analytical domains. Applied quality control and constraint-following techniques to improve correctness, security, and rubric adherence. • Created step-by-step logical rationales to reduce hallucinations in model outputs • Performed logical auditing to identify gaps, hidden errors, and judgment flaws • Drafted and refined programming challenges and constraint-based prompts • Reviewed outputs for security vulnerabilities, performance issues, and professional code standards

2022 - 2023

AI Training Specialist / Prompt Engineer at Remotask (AI training via CoT writing, logical auditing, and instruction tuning)

RemotasksTextPrompt + Response Writing (SFT)

Created chain-of-thought style step-by-step rationales to help large language models produce correct answers for complex prompts. Performed logical auditing of AI-generated reasoning traces and code to detect logic gaps, hidden errors, and judgment flaws. Authored and refined programming and constraint-based prompts in Python and JavaScript to enforce rubrics and improve instruction following. • Developed multi-step CoT reasoning content for tasks spanning mathematics, coding, and analytical reasoning. • Reviewed outputs for probabilistic reasoning errors and improved model accuracy through structured feedback. • Ensured responses followed multi-dimensional rubric requirements while maintaining the required persona and tone. • Contributed to a large remote AI community and collaborated across diverse domains to support models used by millions.

2022 - 2023

Education

Work History