AI Engineer

Hi, the name's Darnel Castor

AboutExperienceSkillsProjects

About

Here is a little background

I'm an AI Engineer with specific expertise in LLM systems, reinforcement learning workflows, and production-grade backend architectures. My work involves optimizing AI-generated code, ensuring reliability in AI model outputs, and developing practical tools that businesses can use, not just demo. I'm currently refining AI-generated code by analyzing it using reinforcement learning workflows. This improves accuracy in AI model outputs, ensuring they align with real-world engineering best practices. My Computer Science background, combined with my experience in AI model training, full-stack development, and chatbot engineering, enables me to bridge the gap between experimentation and production.

Experience

AI Engineer

Outlier

Sat Mar 01 2025 - Present

  • Evaluated AI-generated code across Python, JavaScript, TypeScript, and Go, identifying runtime inefficiencies, logic bugs, and security vulnerabilities to cut errors by 30% and accelerate delivery of high-performing code-generation models.
  • Engineered adversarial prompts and algorithmic test cases covering recursion, data structures, and dynamic programming, then benchmarked model outputs against human-verified reference solutions and unit tests to enforce strict performance and execution standards
  • Reviewed, refactored, and annotated complex codebases, documenting precise technical feedback on code failures to produce high-quality training data for Reinforcement Learning from Human Feedback (RLHF) pipelines and teach the model optimized architectural patterns

Full-Stack Software Engineer

Heasdstarter

Tue Sep 24 2024 - Sat Feb 01 2025

  • Full-stack engineer on a cross-functional team of technical and non-technical contributors, building a multi-cloud platform for evaluating and comparing LLMs at scale.
  • Responsibilities We are seeking a highly skilled AI/ML Engineer with strong hands‑on experience in Python, modern AI/LLM integration, API development, and distributed data technologies. This role will focus on building, integrating, and deploying AI/ML models-particularly those involving Large Language Models (LLMs), agentic AI workflows, and real‑time data pipelines. The ideal candidate will have a strong engineering background with a deep understanding of ML systems design, inferencing pipelines, and microservices‑based APIs. Experience working in Agile environments and collaborating with cross‑functional teams is essential. Required Skills Python Experience in Integration LLM FAST API Kafka Integration Rest API Integration for ML Models GitHub and CoPilot Agentic AI Implementation Good‑to‑Have Skills Java/Angular Spring Boot CI/CD Containerization (Docket, Kubernetes) Cloud ML platforms Finance domain Experience Life at Capgemini Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer: Flexible work Healthcare including dental, vision, mental health, and well-being programs Financial well-being programs such as 401(k) and Employee Share Ownership Plan Paid time off and paid holidays Paid parental leave Family building benefits like adoption assistance, surrogacy, and cryopreservation Social well-being benefits like subsidized back-up child/elder care and tutoring Mentoring, coaching and learning programs Employee Resource Groups nd Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship. Capgemini is committed to providing reasonable accommodations Disaster Relief The base compensation range for this role in the posted location is: 103330 to 128656 Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law. The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction. These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity. It is not typical for candidates to be hired at or near the top of the posted compensation range. In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws. Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave Medical, dental, and vision coverage (or provincial healthcare coordination in Canada) Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada) Life and disability insurance Employee assistance programs Other benefits as provided by local policy and eligibility Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation. Disclaimers Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

Software Engineer Intern

Outreach

Mon Jun 06 2022 - Fri Aug 12 2022

  • Software Engineer Intern on Outreach's Orchestration Services team building data pipeline infrastructure and optimizing legacy database services.

Skills

Hover over a skill for current proficiency

PostgreSQL

Tensorflow

Pinecone

Amazon Web Services

LangChain

Go

JavaScript

TypeScript

Next.js

GraphQL

Amazon BedRock

LangGraph

Neo4j

LangSmith

Python

Certifications

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Projects

Project 1: AI Policy copilot

AI Policy Copilot is a production-ready RAG (Retrieval-Augmented Generation) application I designed and built end-to-end, enabling natural-language search over government and corporate policy documents such as the EU AI Act and NIST AI RMF.

Contact

I have got just what you need. Lets talk.

contact@dcastor.dev

Atlanta, GA United States