Fullstack Engineer | 14+ yrs Shipping React,Next.js,Node,AI
Fullstack Engineer | 14+ yrs Shipping React,Next.js,Node,AI
Led delivery of a cloud-native K-12 student wellness platform that helps counselors monitor wellbeing, surface at-risk students, and act early—balancing product velocity with FERPA/COPPA-aware design and multi-tenant isolation (API RBAC, PostgreSQL RLS, district-scoped analytics).
→ Owned technical direction and delivery rhythm across a TypeScript monorepo (pnpm/Turbo):
backend API, web app, shared packages, DB migrations, CI/CD gates, and staged deploys to GCP (e.g. Cloud Run), aligning engineering work with roadmap and release risk.
→ Orchestrated an AI assistant for counselors on Google Vertex AI (Gemini):
system prompts, safety settings for K-12, function-calling tool design, multi-round tool loops, and strict separation so UI widgets render from verified tool results—not model hallucinations—with tracing/feedback hooks (e.g. Langfuse) for quality and auditability.
→ Drove access-control and compliance posture for sensitive student data:
role/permission middleware, tenant-scoped queries, and defense-in-depth database policies—documentation and evidence suitable for enterprise security reviews (e.g. SOC 2–style narratives).
→ Partnered on product and program management:
phased feature rollout, PR/branch discipline, and clear ownership of scope vs. risk so pilot schools could onboard without compromising data boundaries.
→ Shaped integrations and platform boundaries:
Firebase auth, Neon PostgreSQL + Drizzle ORM, real-time patterns, BigQuery analytics isolation, and operational practices (testing, lint, type-check) that keep the stack maintainable at scale.
→ Established a disciplined, AI-accelerated delivery model—not ad-hoc prompting:
Cursor rules and Claude skills/agents for repeatable workflows; Husky + lint/type-check/test gates; GitHub Actions CI/CD; Cursor Cloud Agents for automated PR review; and daily monitoring of E2E, coverage, and critical issues—owning AI-orchestrated implementation while enforcing accuracy, consistency, and observability
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Senior Full-Stack Engineer | Web Development | AI Automation
- $5k+
- Earned
- 1x
- Hired
- 5.0
- Rating
- 21
- Followers
Senior Full-Stack Engineer | Web Development | AI Automation
Evoke - Project completed successfully and got ⭐⭐⭐⭐⭐ review🚀
Overview
EVOKE is a mindfulness-focused digital experience designed to create a calm, distraction-free space for reflection and presence.
Problem
Most digital platforms are built for speed and engagement, which can feel overwhelming. The goal was to design a space that encourages stillness instead of stimulation.
Approach
I focused on creating a minimal and immersive interface using soft visuals, intentional spacing, and slow interactions to guide users into a reflective state.
Solution
Designed a clean, distraction-free UI
Built immersive entry and reflection flows
Used calming imagery and typography to shape the experience
Developed smooth transitions to support a sense of presence
Tech & Tools
Web development, frontend engineering, UX/UI design
Outcome
The final product delivers a unique digital experience that prioritizes calmness and intentional interaction, standing out from traditional high-stimulation platforms.
👉 https://www.evoke-space.com/
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226
Luxury Jewelry E-Commerce Website – Gemsparx
Front-End & Full-Stack Developer (React & Node.js)
Gemsparx is a luxury jewelry marketing and e-commerce website designed to showcase diamonds, fine jewelry, and custom design services with a high-end user experience.
I developed this project using React for a fast, responsive front end and Node.js for backend functionality. The focus was on creating a visually elegant, conversion-friendly interface while maintaining performance, scalability, and clean code architecture.
The website features structured product categories, promotional sections, custom design workflows, and a modern UI optimized for both desktop and mobile users. This project demonstrates my ability to build premium marketing websites that align with luxury brand aesthetics and business goals.
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492
MSPTerms – SaaS Platform for Document Management & MSP Operations
http://mspterms.com/
I developed a scalable SaaS web application for MSPTerms, a document management and business strategy platform designed for managed service providers (MSPs).
The project involved building a fast, secure, and intuitive user interface using Nuxt.js, including authentication flows, dashboard layouts, and responsive landing pages. I focused on performance optimization, clean UI/UX, and seamless user experience across devices.
The result is a modern, production-ready SaaS platform that enables MSPs to manage documents, streamline operations, and support business growth with a professional, easy-to-use system.
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375
Senior Full Stack & AI Automation Engineer
Nova4AI Command Center
Most AI agent products give you one assistant and a text box. Nova4AI gives you a fleet you can watch work.
Ten specialists run as a team a Researcher, a Coder, a Designer, a QA reviewer, an Archivist, a Prospector, an Optimizer with Navi orchestrating: routing tasks, running standups, pulling teammates into threads with an @mention. Every agent takes voice input.
The core of the build is the Live Feed. Agent-to-agent handoffs stream in real time, each carrying a task ID, trace ID, source system, and timestamp. When Kenzo passes work to Relay, you see the message and can follow the trace. Multi-agent systems usually fail silently and invisibly; this one is auditable by default.
Around the fleet sits the actual business surface: CRM and lead pipeline, proposals, performance analytics, projects, a shared memory layer, docs, and a skills registry. Agents write real artifacts to real endpoints and integrate outward through MCP and n8n.
At the time of this screenshot: 10,983 activities in a day, 5,017 feed messages, 110 tasks open and 42 closed.
Built so you can hand work to a team and still know exactly what happened.
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Fundory — Grant Intelligence for Nonprofits
Grant funding runs on a brutal arithmetic: most applications fail, and the ones that fail still cost weeks of a small team's time. Nonprofits with two or three staff are spending that time writing into opportunities they were never positioned to win.
Fundory attacks the problem upstream. Instead of helping organizations write faster, it decides what's worth writing at all. Every discovered grant is screened against the organization's actual profile and returned with a fit score, so a 65% never consumes the effort a 91% deserves. The product states its threshold plainly: apply above 85%.
The pipeline runs Discovered → Screened → Waiting for Approval → Drafted → Closed, with AI moving work forward and humans holding the approval gate. Drafted proposals carry two separate scores — model confidence and draft quality — because those measure different risks and collapsing them would hide the one that matters.
I built the screening and scoring layer, the document and narrative system that grounds drafts in the organization's real history, and the pipeline that keeps 28 live opportunities legible to a team without a grants department.
Honest signal over generated volume.
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Bench — AI Agents for Small Teams
Solo founders don't lack AI tools. They lack the people who would use them. Most products hand you a blank text box and quietly make you the operator so the inbox still doesn't get triaged and the content calendar still doesn't get built.
Bench inverts that. Instead of a chat interface, it's a hiring interface. You staff a bench of role-trained specialists — an Executive Assistant, a Lead Generator, a Social Media Manager, a Marketing Manager — each scoped to real responsibilities with its own tool access and definition of done. They work in the background and report status: working, done, needs review.
I built the agent orchestration behind it, the role definitions that keep each specialist in its lane, and the review layer that surfaces anything consequential before it ships. Drafts land in the founder's voice. Nothing gets sent without a human seeing it first.
The design constraint throughout was trust. Multi-agent systems fail when they act confidently in the wrong direction, so the product is architected around visible work and cheap correction rather than silent autonomy.
Built for the smallest teams to deploy what used to require a payroll.
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Design & Development Made Easy
Pasteable - A cross-platform universal clipboard manager (macOS, Windows, Linux/Raspberry Pi) that captures everything you copy and syncs it instantly across devices via Firebase — with a glassmorphic overlay, smart collections, favorites, pinning, and source-app attribution.
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Full stack engineer. Healthcare AI, FHIR,iOS, and Security.
Project AIR is an open-source toolkit that keeps a tamper-proof record of what AI agents do. Every action an agent takes gets signed, chained to the step before it, and tied to the person who authorized it. The chain is anchored to Sigstore Rekor, a public transparency log, so anyone can check later that nothing was changed or deleted. When something goes wrong, you can show exactly what happened and who approved it, instead of just saying it happened.
It also runs 16 detectors over every record, covering all ten risks on the OWASP Top 10 for Agentic Applications, three from the OWASP list for LLM apps, and three of its own. It can stop an agent mid-action until a person signs off. It plugs into LangChain, LlamaIndex, and the OpenAI, Anthropic and Gemini SDKs with a line or two of code.
I built the Python library and command-line tool, published on PyPI as projectair (now at version 1.3.1) under the Apache 2.0 license, plus the website and dashboard in SvelteKit. We run it on our own infrastructure too: every request to vindicara.io (http://vindicara.io) is recorded and anchored to Rekor every minute.
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820
Nourished by Mira is an iOS nutrition coach for people who want to lose fat without losing muscle, especially people on GLP-1 medications like Ozempic. It builds protein-first meal plans and grocery lists, tracks body composition, and adjusts portions around where someone is in their medication cycle, so the plan still works on days when appetite is low.
Mira, the in-app coach, writes the meal plans and talks people through their day, with a real voice. The app also tracks medication doses with reminders, can scan a prescription bottle label, and can put together a report to share with a doctor.
I built the whole app in Swift and SwiftUI, plus the backend on AWS: serverless functions, a user database, sign-in, and the AI that writes meal plans on Amazon Bedrock. It’s live on the App Store.
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Amyneion helps community doctors bring autoimmune clinical trials to their own patients. It pulls recruiting trials from ClinicalTrials.gov (http://ClinicalTrials.gov) and the EU trials registry and turns each trial’s eligibility rules into checks that a person reviews and approves. Then it reads a practice’s health records over FHIR and shows the care team which patients qualify, or are one lab or one visit away. Every yes, no or unknown comes with a plain-language reason, and missing data gets flagged instead of quietly ruling someone out.
I built all of it: the matching engine, the trial ingest, the FHIR reader, a navigator case book, the clinic Console and the sponsor reporting. It runs on Python, FastAPI and PostgreSQL, hosted on AWS. It can also run fully offline on a clinic’s own machine, with notes read by a model on that machine’s hardware. It has been tested against the Epic and Oracle Health sandboxes, and everything runs on synthetic patients. No real patient data has ever touched it.
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Motium is an AI interviewer for hiring. Candidates sit down face to face with Wren, a talking video interviewer, and have a real conversation about the role instead of filling out a form. Wren is paid by the employer but works for the candidate: the job is to find what each person is unusually good at and make sure the hiring manager sees it. Every role interviews for the same fixed skills, so candidates can be compared fairly, but the questions are written fresh for each person.
After the call, the hiring manager gets a clear recommendation with the reasons behind it, plus a video recording of the interview. Every question, answer and verdict is signed and hash-chained, so the record can be checked later and can’t be quietly changed. Fairness rules live in the code, not in a policy doc: nothing is scored before consent, and an interview can’t be cut short early without a review.
I built the server that runs Wren’s side of every turn, the live video face running on GPUs, the employer dashboard, Studio 11 (a short spotlight show for recognizing employees), and Pete, a built-in help assistant. It runs on Claude through the Claude API and Amazon Bedrock, with ElevenLabs for voice.
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UX/UI Designer Specializing in Mobile Apps & SaaS Dashboards
UX/UI Designer Specializing in Mobile Apps & SaaS Dashboards
Full-stack dev of 5 web-apps with UX & marketing expertise
Full-stack dev of 5 web-apps with UX & marketing expertise
