Daniel Salinas
Full Stack & AI Engineer-
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Pasadena, TX 77505
https://www.linkedin.com/in/daniel-salinas-b-/
PROFILE
Senior Software Engineer with 9+ years of experience designing, developing, and scaling full-stack
applications across automation, healthcare, fintech, communications, and analytics domains. Proven
track record in leading frontend and backend architecture using React, TypeScript, Node.js, Golang, and
Python —delivering robust, user-centric platforms used by global enterprises and high-growth startups.
Deep expertise in building distributed systems, integrating REST and GraphQL APIs, and optimizing
performance for cloud-native applications on AWS and Azure. Adept at mentoring engineers, leading
crossfunctional teams, and driving strategic technical decisions that balance longterm scalability with
rapid product delivery. Passionate about clean code, system reliability, and creating seamless user
experiences across web and mobile platform
SKILLS
Frontend Development — React, Vue, React Native, Swift, JavaScript / TypeScript, HTML/CSS,
TailwindCSS, Component-driven architecture, UI/UX collaboration, GraphQL (Frontend integration),
Responsive & performant UI design
Backend Development — Node.js / Express, Golang (REST APIs, Microservices), Python/Django,
MongoDB, PostgreSQL, Prisma ORM, Redis, Stripe API (billing & licensing), RESTful API design,
GraphQL (backend integration)
Cloud & DevOps — AWS Lambda, EC2, S3, CloudFront, CloudWatch, DynamoDB, GCP Cloud
Functions, Firebase, Kubernetes, Terraform, Docker, Jenkins CI/CD, GitHub Actions
AI & Data Processing — TensorFlow, PyTorch, OpenAI API, LangChain, Elasticsearch, Data
pipelines, Real-time analytics, Retail analytics dashboards, Indexing & query optimization
Security & Compliance — HIPAA compliance, Secure authentication integration, API security best
practices
PROFESSIONAL EXPERIENCE
UiPath, Senior Full Stack Engineer
07/2022 | New York, US
Built high-performance RESTful and GraphQL APIs using FastAPI and Django, improving response times
by 30%.
Led the transition from a monolithic system to a microservices architecture, leveraging Kubernetes and
AWS Lambda, increasing scalability by 40%.
Designed real-time AI-driven analytics dashboards with React, Next.js, and D3.js, boosting data
visualization efficiency by 30%.
Optimized PostgreSQL and Redis caching strategies, reducing database query execution times by 35%.
Implemented serverless computing with AWS Lambda and GCP Cloud Functions, lowering
infrastructure costs by 20%.
Developed an AI-powered recommendation system using TensorFlow and OpenAI API, enhancing user
engagement by 25%.
Automated deployments with Terraform, Jenkins, and Kubernetes, reducing release cycles by 40%.
Enhanced security by integrating OAuth 2.0, JWT authentication, and role-based access control.
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Truelogic, Senior Front-End Engineer
07/2020 – 05/2022 | New York, US
Developed reusable and scalable UI components with React, Next.js, and Redux, reducing development
time by 30%.
Modernized a legacy Django frontend by transitioning to React architecture, enhancing maintainability
and performance.
Increased user retention by 20% by developing AI-powered chatbots and NLP integrations using the
OpenAI API.
Streamlined API performance by integrating FastAPI and Flask backends, cutting request latency by
25%.
Optimized page load times by 25% through the implementation of lazy loading, dynamic imports, and
code splitting.
Reduced inconsistencies across projects by standardizing UI design with a Figma-driven component
library.
Enhanced security by implementing measures such as CORS policies, CSRF protection, and JWT
authentication.
Lowered post-release bugs by 25% by improving frontend test coverage using Cypress, Jest, and React
Testing Library.
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Nourish, Full Stack Engineer
09/2018 – 05/2020 | Santa Clara, US
Developed and shipped high-impact features for Nourish’s telehealth platform, connecting patients
nationwide with Registered Dietitians via a fully HIPAAcompliant digital experience.
Took ownership of end-to-end feature development across React/React Native, TypeScript, and
Node.js/Express, accelerating roadmap delivery and enhancing mobile and web user engagement.
Collaborated closely with product and design teams to launch seamless user flows for scheduling, meal
logging, and insurance verification, contributing to a 25% increase in platform retention.
Led the buildout and optimization of scalable PostgreSQL schema using Prisma ORM, ensuring data
consistency across patient, dietitian, and provider experiences.
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Integrated third-party services (e.g., AI chat, meal planning APIs) and improved system performance by
streamlining backend APIs and serverless functions deployed on AWS AppRunner.
Championed engineering best practices including CI/CD automation, code reviews, and test coverage,
boosting team velocity in a high-growth, fast-paced environment.
Contributed to shaping team culture and engineering process at an early-stage startup backed by top-tier
investors (Index, Thrive, Y Combinator), helping scale the platform from thousands to hundreds of
thousands of users.
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AutoDesk, Front-End Developer
02/2017 – 08/2018 | SanFrancisco, US
Led frontend architecture and development of a largescale retail analytics platform, enabling real-time
insights for enterprise clients managing multi-location medical retail outlets.
Developed high-performance React + TypeScript interfaces, reducing average page load times by 35%
and increasing user engagement metrics across key workflows.
Introduced a component-driven design system shared across multiple internal tools, cutting new feature
delivery time by 40% and improving UI consistency. •Collaborated with design, product, and data teams
to launch a predictive dashboard that surfaced purchasing trends and anomalies, contributing to a 20%
increase in cross-sell revenue.
Integrated GraphQL and REST APIs with secure authentication to power personalized analytics for
global retail partners, all backed by Azure services and cloud infrastructure.
Led sprint planning and code review processes for a distributed team, improving delivery velocity and
engineering quality through mentorship and technical leadership.
Championed frontend observability and error monitoring tools (e.g., Sentry, Azure Monitor), reducing
customer-reported UI bugs by 50% within six month.
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EDUCATION
Texas State University, Bachelorʼs degree in Computer Science
08/2012 – 04/2016 | San Marcos, TX, US
