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Osvaldo Velazquez

@osvaldovelazquez1

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Senior Full Stack Engineer building explainable, AI-driven web systems with low-latency, scalable backends.

Mexico

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What I'm looking for

I’m looking for a role where I can lead senior full-stack and AI systems work—shipping explainable, low-latency applications with scalable backends, strong MLOps/DevOps practices, and real multi-cloud deployment responsibility.

I’m a systems-driven Senior Full Stack Engineer with 6+ years of industry experience and an ongoing PhD in Computer Science, specializing in intelligent, explainable web and software applications.

I architect highly scalable backend environments, design relational and vector database systems, and deploy modern multi-agent systems. I bridge complex architectural pipelines with high-performance user interfaces to reduce overall system latency, automate engineering business rules, and optimize cloud deployments across AWS, Azure, and GCP.

In my recent contract work, I architected and deployed multi-agent production web workflows and intelligent text engines, integrating dense + sparse hybrid search to boost retrieval accuracy by 40%. I also built high-throughput backend deep learning processing systems to cut core processing cycles by 35% and enabled multi-agent discovery/literature parsing that reduced execution timelines by 25%.

Earlier roles strengthened my end-to-end approach across RAG platforms, streaming microservices, and applied machine learning. From building a production churn forecasting and alert ecosystem (88% AUC-ROC) and an NLP framework with 93% accuracy, to automating data pipelines and dashboards with SQL, Power BI, and Google Looker Studio, I focus on turning complex data and models into reliable, measurable products.

Experience

Work history, roles, and key accomplishments

Current

Senior Full Stack / AI Systems Engineer

Current

Quantori

Dec 2024 - Present (1 year 7 months)

Architected and deployed multi-agent production web workflows and intelligent text engines, integrating dense + sparse hybrid search to improve retrieval accuracy by 40%. Established MLOps/DevOps pipelines for distributed model versioning and monitoring in multi-cloud environments to improve service stability.

Multi Agent Pipelines Intelligent Text Engines Hybrid Search (Dense + Sparse)MLOps DevOps Model Versioning Model Monitoring Annotation Pipelines

Full Stack / Backend Engineer

STX Next

Nov 2023 - Dec 2024 (1 year 1 month)

Led the backend and integration lifecycle for a production RAG ecosystem across relational databases, document storage nodes, and external RESTful APIs. Reduced retrieval latency by 45% using structured text chunking and embedding strategies and improved web output fidelity with cross-encoder re-ranking.

RAG Relational Databases RESTful APIs Embedding Strategies Cross Encoder Re Ranking Few Shot Text Categorization

Senior Software Engineer & Data Scientist

Enhance IT

Sep 2022 - Oct 2023 (1 year 1 month)

Engineered a churn forecasting and alert ecosystem using advanced feature engineering pipelines, improving performance (88% AUC-ROC) and lowering customer attrition by 22%. Built NLP and recommendation systems using transformer-based analysis and fine-tuned LLM endpoints (GPT-3.5 Turbo and Llama 2) to automate product catalog creation.

Alerting Product Recommendation Systems NLP Transformer Models GPT 3.5 Turbo LLaMA 2 Fine Tuning

Data & Systems Analyst

Secretaría de Educación Pública (SEP)

Oct 2019 - Sep 2020 (11 months)

Gathered architecture requirements to build and manage 4+ central government data pipelines, reducing delivery loops by 40% and cutting average deployment time from 6 weeks to 3.5 weeks. Built automated operational dashboards and data pipelines using SQL and Power BI tools.

Data Pipelines Data Pipeline Architecture SQL Power BI Dashboards

Full Stack Developer

Freelance / Self-Employed

Jan 2018 - May 2019 (1 year 4 months)

Architected and delivered 5+ responsive full-stack web applications for local retail and enterprise environments using PHP, modern JavaScript, and HTML5/CSS3. Designed and normalized MySQL database engines, reducing page loading times by 42% while supporting 1,000+ active monthly clients.