David Palomino - Senior Software Engineer

Q: Where is David based?

David is based in Epe, Netherlands .

Q: What languages does David speak?

David speaks the following languages: English (Advanced), Spanish (Advanced) .

Q: How many years of experience does David have?

David has at least 9 years of experience. During this time, David has worked in at least 3 different roles and for 3 different companies . The average length of individual experience is 2 years and 3 months . Note that David may not have shared all experience and actually has more experience.

Q: What is David's latest experience?

David's most recent position is Senior Software Engineer at Software Mind .

Q: What companies has David worked for in recent years?

In recent years, David has worked for Software Mind and Parser .

Q: Which industries is David most experienced in?

David is most experienced in industries like Information Technology (IT) .

Q: Which business areas is David most experienced in?

David is most experienced in business areas like Information Technology (IT) , Quality Assurance (QA) , and Product Development . David also has some experience in Business Intelligence and Research and Development (R&D) .

Q: Which industries has David worked in recently?

David has recently worked in industries like Information Technology (IT) .

Q: Which business areas has David worked in recently?

David has recently worked in business areas like Information Technology (IT) , Quality Assurance (QA) , and Product Development .

Recommended expert

Epe, Netherlands

Experience

Nov 2023 - Present

2 years 5 months

Senior Software Engineer

Software Mind

Led content refinement initiatives for AI-driven mechanical engineering tasks by building Python pipelines that validated formulas, cross-checked references, and standardized complex engineering explanations to improve LLM reasoning accuracy by a measurable margin.
Created highly detailed mechanical-engineering task scenarios for LLM training by combining domain principles such as statics, thermodynamics, and mechanical failure modes with programmatic Python validation tools that ensured correctness and reproducibility.
Audited expert submissions using structured review rubrics, verifying mechanical-engineering knowledge depth, detecting inconsistencies, and rewriting unclear sections to ensure alignment with strict project guidelines and scientific accuracy.
Moderated expert discussion channels on Discord, providing technical clarifications on mechanical-engineering problem statements, guiding contributors on best-practice prompt patterns, and resolving ambiguities to keep workflows efficient and consistent.
Built Python scripts for automated content-quality assessments that checked dimensional consistency, validated engineering assumptions, and flagged potential hallucinations or domain errors before content was passed to the LLM training pipeline.
Reviewed qualification exams for incoming mechanical-engineering experts by analyzing multi-step reasoning chains, verifying computational accuracy, and identifying knowledge gaps to maintain a strong contributor pool for AI-driven engineering tasks.
Developed structured reference examples for complex topics like stress analysis, material behavior, and system dynamics, ensuring that LLM training data contained clear progressive steps, relevant terminology, and precise real-world engineering analogies.
Collaborated with AI researchers to refine prompt templates used for engineering task generation, ensuring templates enforced clarity, step-by-step reasoning, and alignment with proper domain-specific methodologies.
Implemented Python-based content transformations that normalized language style, added structured breakdowns to long engineering solutions, and enhanced feature completeness of mechanical problem explanations for more robust LLM training datasets.
Partnered with cross-functional ML teams to analyze LLM evaluation outputs, identify systemic mechanical-reasoning weaknesses, and iteratively improve the dataset by injecting higher-fidelity examples, accurate boundary-condition setups, and real-world engineering patterns.

Sep 2020 - Aug 2023

3 years

Senior Software Engineer

Parser

Led Python-based backend development for a data-centric platform while contributing to AI-related content-quality pipelines that evaluated engineering correctness, enabling the platform to manage expert-reviewed datasets at scale.
Reviewed and audited technical contributions from domain experts, ensuring explanations matched scientific standards and rewriting unclear reasoning steps to maintain a high-accuracy knowledge base for downstream AI usage.
Built automated review tools in Python that analyzed expert-submitted tasks, checked for structural completeness, validated numerical consistency, and ensured each submission aligned with mechanical-engineering logic patterns.
Supported expert onboarding by evaluating qualification assessments, identifying reasoning flaws in mechanical scenarios, and providing actionable feedback that improved contributor quality and reduced review iteration cycles.
Moderated internal discussion channels by answering technical questions, clarifying domain interpretation issues, and enforcing contribution guidelines to keep all task submissions aligned with unified mechanical-engineering standards.
Developed Python micro-services that handled structured content ingestion, metadata tagging, and engineering-task transformation, ensuring datasets were consistent, searchable, and ready for model-training workflows.
Worked closely with reviewers to craft step-wise mechanical-engineering examples, bridging theory and calculation logic in formats optimized for LLM comprehension and error-free reasoning performance.
Designed workflow improvements that reduced review friction by standardizing task formats, creating guideline checklists, and helping experts adapt quickly to challenging or unusual mechanical-engineering prompts.
Participated in internal AI-model evaluation cycles by systematically checking model outputs, identifying failure modes in mechanical-reasoning steps, and drafting refined examples that corrected flawed logic patterns.
Mentored junior contributors on Python best practices and systematic reasoning structures, teaching them how to convert mechanical-engineering concepts into clear, machine-readable, instructional content.

Nov 2017 - Jul 2020

2 years 9 months

Lima, Peru

Full-Stack Developer

Sintad

Developed full-stack web applications using JavaScript, Node.js, and React to support business workflows, ensuring robust API design and delivering interfaces that clearly presented complex operational data to end users.
Designed backend logic for transactional systems by implementing REST APIs, optimizing data-processing pipelines, and ensuring system reliability under high-usage scenarios typical of enterprise-scale environments.
Collaborated with cross-functional teams to translate operational requirements into technical specifications, producing detailed modules that automated previously manual business processes with improved accuracy.
Improved platform performance by refactoring legacy components, implementing caching strategies, and enhancing data-query logic to reduce latency and improve the user experience for complex dashboards.
Enhanced code quality by writing thorough unit and integration tests, documenting API functions, and adopting consistent version-control practices that supported long-term maintainability.
Built internal tools that facilitated operational analytics, enabling non-technical teams to access critical business metrics with clear and intuitive user interface flows.
Participated in architectural planning for full-stack systems, helping select frameworks, enforce patterns, and align platform evolution with the company’s long-term digital objectives.

Nov 2016 - Oct 2017

1 year

Lima, Peru

Junior Web Developer

Sintad

Developed early-stage web modules using HTML, CSS, JavaScript, and jQuery, ensuring functional, responsive interfaces that supported core company operations in a clean and maintainable structure.
Implemented UI components and client-side logic to enhance usability, partnering closely with designers to ensure visual consistency across the product ecosystem.
Maintained and updated legacy systems by fixing bugs, improving compatibility, and optimizing front-end code paths that contributed to smoother user interactions.
Supported backend developers by integrating REST endpoints, performing data-format validations, and ensuring client-server communication behaved predictably across multiple scenarios.
Documented features and technical behaviors clearly, improving team knowledge sharing and reducing onboarding friction for new developers.
Tested web features through manual and automated checks to guarantee stability and minimize regressions during iterative product updates.
Assisted in deployment processes, verifying build outputs, addressing environment-specific issues, and learning industry-standard workflows for production releases.

Industries Experience

See where this freelancer has spent most of their professional time. Longer bars indicate deeper hands-on experience, while shorter ones reflect targeted or project-based work.

Experienced in Information Technology (9 years).

Information Technology

Business Areas Experience

The graph below provides a cumulative view of the freelancer's experience across multiple business areas, calculated from completed and active engagements. It highlights the areas where the freelancer has most frequently contributed to planning, execution, and delivery of business outcomes.

Experienced in Information Technology (9 years), Quality Assurance (5.5 years), Product Development (4 years), Research and Development (2.5 years), and Business Intelligence (2.5 years).

Information Technology

Quality Assurance

Product Development

Research and Development

Business Intelligence

Summary

Senior Software Engineer with nine years of experience building scalable systems, training AI models, and producing technically accurate engineering content. I combine deep Python expertise with structured review, auditing, teaching, and domain-driven problem solving to support LLM quality and expert-level mechanical engineering workflows. Known for fast learning, cross-disciplinary reasoning, and delivering clear, accurate, and reference-based technical explanations.

Skills

Programming: Python, Javascript, Typescript, Node.js, Sql, Html, Css
Ai & Genai: Llm Training, Prompt Engineering, Model Evaluation, Content Auditing, Dataset Refinement, Rag Fundamentals, Hallucination Detection, Instruction Tuning
Mechanical Engineering Topics: Statics, Dynamics, Cad Logic, Thermodynamics, Mechanical Systems Analysis, Materials Fundamentals, Fluid Behavior Basics
Cloud & Devops: Aws Lambda, Aws S3, Aws Ec2, Cloudwatch, Gcp Compute, Gcp Storage, Docker, Ci/cd Pipelines
Backend & Apis: Rest Apis, Microservices, Async Processing, Distributed Systems, Message Queues
Frontend & Ui: React, Vue.js, Spa Architecture, Component Design, Responsive Interfaces
Testing & Quality: Unit Testing, Integration Testing, Qa Auditing, Documentation, Guideline Enforcement, Technical Review Workflows
Collaboration & Tools: Git, Jira, Confluence, Discord Moderation, Expert Evaluation, Content Refinement Workflows

Languages

English

Advanced

Spanish

Advanced

Education

Mar 2012 - Dec 2016

César Vallejo University

Bachelor’s Degree · Computer Science · Lima, Peru

Profile

Created

December 2025

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Frequently asked questions

Do you have questions? Here you can find further information.

Where is David based?

David is based in Epe, Netherlands.

What languages does David speak?

David speaks the following languages: English (Advanced), Spanish (Advanced).

How many years of experience does David have?

David has at least 9 years of experience. During this time, David has worked in at least 3 different roles and for 3 different companies. The average length of individual experience is 2 years and 3 months. Note that David may not have shared all experience and actually has more experience.

What roles would David be best suited for?

Based on recent experience, David would be well-suited for roles such as: Senior Software Engineer, Full-Stack Developer, Junior Web Developer.

What is David's latest experience?

David's most recent position is Senior Software Engineer at Software Mind.

What companies has David worked for in recent years?

In recent years, David has worked for Software Mind and Parser.

Which industries is David most experienced in?

David is most experienced in industries like Information Technology (IT).

Which business areas is David most experienced in?

David is most experienced in business areas like Information Technology (IT), Quality Assurance (QA), and Product Development. David also has some experience in Business Intelligence and Research and Development (R&D).

Which industries has David worked in recently?

David has recently worked in industries like Information Technology (IT).

Which business areas has David worked in recently?

David has recently worked in business areas like Information Technology (IT), Quality Assurance (QA), and Product Development.

What is David's education?

David holds a Bachelor in Computer Science from César Vallejo University.

What is the availability of David?

David is immediately available full-time for suitable projects.

What is the rate of David?

David's rate depends on the specific project requirements. Please use the Meet button on the profile to schedule a meeting and discuss the details.