Build What Matters, Faster.
Services
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Custom Development
We design and build scalable web apps, SaaS platforms, and internal tools. From idea to launch, we deliver clean, maintainable code that supports your business goals.
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AI-Powered Software Development
We use AI daily to accelerate architecture, prototyping, and development—leveraging LLMs for faster iteration and smarter solutions. With experience in both classical machine learning and generative AI, we help teams integrate intelligent features and streamline their workflows to build and ship faster.
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Technical Strategy & Architecture
We provide guidance on choosing the right tech stack, optimizing performance, and scaling systems effectively—so you can make smart technical decisions.
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Cloud Infrastructure & DevOps
We help businesses run efficiently on cloud platforms like AWS and GCP. From setting up CI/CD pipelines to managing Docker and Kubernetes, we ensure smooth, scalable deployments.
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API & Integration Services
We build robust REST APIs and integrate third-party systems to streamline workflows and enhance functionality.
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Team Management & Collaboration
We have experience leading both offshore and onshore development teams. From aligning cross-functional efforts to ensuring smooth communication and delivery, we help manage resources effectively and keep projects on track.
Recent Projects
A sampling of recent projects spanning product leadership, full-stack development, and machine learning. We’ve worked with startups, growing teams, and enterprise clients—building platforms from the ground up, scaling systems, and delivering impactful solutions across web, mobile, and data.
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We lead the development of a platform that helps building design professionals—including architects, designers, and consultants—collaborate on product selection and procurement. The system brings together fragmented product and certification data into one place, with support for file sharing, commenting, and in-platform collaboration.
In addition to owning the architecture, implementation, product direction, and visual design, we lead a team of developers—providing mentorship, setting engineering direction, and ensuring technical quality across the stack. The platform is built with React, Node.js, and PostgreSQL, and deployed on AWS.
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We develop a React Native mobile app that helps people with mobility needs or other disabilities discover locations that match their specific accessibility requirements. The app provides tailored search, filtering, and custom navigation features to support independent and informed movement in the built environment.
We designed and implemented a custom wayfinding solution and work closely on both technical and business strategy. The backend is built using Firebase services—including Firestore, Authentication, and Cloud Functions—and is fully deployed on GCP.
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As a cofounder and technical lead, we develop a platform that streamlines collaboration between clients and tenants during commercial real estate transactions. The product includes messaging, document sharing, and deal tracking to simplify communication and decision-making throughout the leasing process.
We lead technical strategy and implementation from MVP through early traction—supporting multiple enterprise clients and contributing to two funding rounds. This experience reflects our ability to build and scale product-led solutions in high-stakes, fast-moving startup environments.
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We develop custom internal tools for a mid-size, investment-backed tech company to support operations across its portfolio. These tools improve efficiency, enhance cross-team collaboration, and contribute to overall business growth.
Within a growing organization, we take full ownership of key systems while collaborating with multiple teams—demonstrating both technical leadership and adaptability in complex environments.
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At a consumer-focused tech company, we architect and implement a data pipeline and event tracking schema to capture user interactions across mobile and web platforms. Starting from initial ideation, we design a system that collects, transforms, and pushes structured data into Redshift—enabling the analytics team to train models and the business team to analyze user behavior and engagement.
This work demonstrates our ability to design and deliver end-to-end data infrastructure that bridges product, engineering, and business needs.
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At a retail data company, we develop a machine learning pipeline to clean and normalize inventory data from thousands of liquor stores. Using scikit-learn classifiers, the system intelligently deduplicates products across inconsistent listings—improving data quality for downstream search, analytics, and consumer-facing applications.
This project showcases our experience applying classical ML techniques to high-volume, real-world data challenges.
What Clients are Saying
About Me
I’m an experienced software engineer and product builder who partners with startups to design, build, and scale great software. Over the years, I’ve worked across early-stage and mid-size companies—leading projects from architecture through launch, mentoring teams, and collaborating closely with product and business stakeholders.
While I operate independently, I regularly collaborate with other developers and designers depending on project needs. I bring a practical, high-velocity approach to every engagement—whether it’s building an MVP, integrating AI, or setting the technical direction for a growing product.