Full-Stack & AI Developer | Next.js, AI Agents
- $25k+
- Earned
- 9x
- Hired
- 5.0
- Rating
- 60
- Followers
Full-Stack & AI Developer | Next.js, AI Agents
AI Technical PM | Brand Strategy | AI Agents & Automation
AI Technical PM | Brand Strategy | AI Agents & Automation
Project title
BrandSignal — Brand Research, Positioning & Strategy
Project description
A brand can look impressive and still leave people asking: “What do you actually do—and why should I choose you?”
BrandSignal is an independent product concept exploring how businesses can turn scattered customer feedback into a clearer market position and brand message.
The proposed workflow connects three stages:
Research intelligence: organise customer questions, identify recurring needs and develop working insights.
Positioning: define the audience, customer problem and meaningful difference, then form a hypothesis to validate.
Brand expression: translate that direction into a brand promise, tone of voice and customer-facing messaging. My focus for this concept was connecting research, product thinking and brand strategy into one understandable journey—showing the reasoning behind a brand’s direction alongside its visual expression. The identity combines pastel orchid pink, deep eggplant violet and signal orange. Oversized typography, sharp layouts and an animated signal mark give BrandSignal a distinct personality. Deliverables Original concept interface mockups, visual identity direction and a 15-second silent promotional video. Suggested skills/tags Brand Strategy · Market Research · Brand Positioning · Product Strategy · Creative Direction Project status Independent concept with illustrative research and interface content. It does not represent a live client engagement, validated customer findings or measured business results.
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ReleaseDesk — Technical Project Management & Release Readiness
Code complete doesn’t always mean ready to launch. ReleaseDesk is an independent product concept exploring how software teams can make that distinction clear.
The proposed workspace brings delivery progress, release checks, risks and decision records into one shared view. Each blocker connects to an owner, a next action and the evidence needed before approval.
These mockups demonstrate three core workflows:
• Delivery overview: sprint progress, unresolved blockers and upcoming checkpoints.
• Release readiness: testing, recovery verification, operational handover and approval gates.
• Risks & decisions: accountable owners, mitigation actions and documented technical trade-offs.
The concept reflects my approach to technical project management: turn uncertainty into clear requirements, visible ownership and reviewable decisions. Its midnight-black interface uses electric cobalt and acid lime to create hierarchy and highlight important actions.
Project type: Independent concept · Static UI mockups · Illustrative data.
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Project title
AgentOps Desk — AI Workflow Supervision & Human Approval
Project description
AI agents can prepare useful work. The harder question is: who decides what they’re allowed to do next?
AgentOps Desk is an independent product concept exploring how businesses can monitor AI workflows, review proposed actions and keep human decisions visible.
The mockups follow a sales assistant that retrieves approved business information, prepares a follow-up email and pauses before sending it. A reviewer can inspect the draft, recipient and requested permission, then approve once, request changes or reject the action.
Core workflows
Operations overview: view workflow activity, pending approvals and paused connections.
Approval review: inspect an agent’s proposed action before it reaches an external system.
Run investigation: follow execution steps, understand why a workflow paused and review its decision history. Product thinking The concept separates preparing work from executing an action. It explores explicit permissions, human handoffs and traceable decisions as part of the everyday workflow. Visual direction A distinct glassmorphism identity combining muted sage-grey, warm cream-beige and deep burgundy. Frosted surfaces create depth, while clear typography and written status labels support readability. Deliverables Four high-resolution mockups: a product landing page, operations dashboard, approval workspace and execution trace. Suggested skills/tags AI Product Strategy · Workflow Automation · Dashboard Design · Human-in-the-Loop AI · Product Design Project status Independent concept with illustrative data. Static mockups—not a deployed platform, validated security system or completed client engagement.
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Turning complex AI into seamless web experiences users love.
New to Contra
Turning complex AI into seamless web experiences users love.
What if every student could have a learning experience built around how they actually learn?
Most education platforms are good at delivering content.
The harder problem is knowing:
What does this student understand?
Where are they struggling?
What should they learn next?
Which explanation will work best for them?
How can educators identify learning gaps early?
For this case study, we designed an AI-powered education platform for personalized learning at scale.
The platform brings together student progress, course content, assessments, recommendations, and AI-powered learning assistance in one experience.
What the platform does
🎓 Personalized learning paths
AI recommends content based on each learner's progress, performance, and learning gaps.
🧠 AI tutoring
Students can receive contextual explanations and guidance instead of simply being given the answer.
📝 Automatic grading
Assignments and assessments can be evaluated automatically, reducing repetitive work for educators.
📚 Curriculum generation
AI helps create and adapt learning materials based on course objectives and student needs.
🌍 Language learning
Personalized exercises and feedback adapt to the learner's level.
🏢 Corporate training
The same intelligence layer can support employee learning, assessments, and skill development.
The important product decision was to make AI part of the learning workflow, rather than adding a chatbot as a separate feature.
Student activity feeds the intelligence layer.
The AI identifies patterns.
Recommendations adapt.
Learning progress is continuously measured.
And educators get a clearer picture of where intervention is needed.
Impact
60% reduction in grading time
45% improvement in student engagement
35% increase in learning outcomes
100K+ learners reached
The broader lesson:
Personalization is where AI can make education feel less like a content-delivery system and more like an adaptive learning environment.
The next generation of education platforms won't simply ask:
"What course should we show this student?"
They'll ask:
"What does this student need right now?"
That's the kind of AI product experience we focus on building at Ciphers Lab.
Would you prioritize AI tutoring, personalized learning paths, or automated assessment first?
#ArtificialIntelligence #EdTech #EducationAI #AIinEducation #PersonalizedLearning #GenerativeAI #EnterpriseAI #AIProductDevelopment #AIAgents #Automation #SaaS #DigitalLearning #FutureOfEducation #CiphersLab
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Recruiters spend countless hours manually reviewing resumes, comparing candidate qualifications, and managing hiring pipelines.
Considering this problem I developed Developed HireIQ, an AI-powered recruitment platform that streamlines the entire hiring process by combining resume analysis, AI candidate scoring, and workflow automation into a single dashboard.
Key Features:
🔥 AI-powered resume parsing and analysis
🔥 Automated candidate scoring and ranking
🔥 Resume-to-job matching
🔥 Multi-step recruitment dashboard
🔥 Candidate management system
🔥 AI-generated hiring insights and recommendations
🔥 Recruiter analytics dashboard
🔥 Secure authentication and role-based access
🔥 Modern responsive UI with dark theme
Impact it created:
🚀 Reduced manual resume screening time by 90%
🚀 Accelerated candidate shortlisting by 75%
🚀 Improved recruiter productivity by 3×
🚀 Reduced hiring workflow steps by 60%
🚀 Enabled recruiters to evaluate 100+ resumes in minutes instead of hours
🚀 Increased consistency in candidate evaluation through AI-driven scoring
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HireIQ — AI Recruiting Platform
HireIQ is a concept-stage AI HR tech platform designed to modernize how teams evaluate and hire talent. The platform transforms raw text inputs job descriptions and resumes into structured, actionable insights through four core modules.
Main Features:
🔥 The AI Resume Screener scores any resume against a job spec in seconds, surfacing alignment, weaknesses, and fit potential.
🔥 The Multi-Resume Ranker benchmarks multiple candidates in parallel using standardized criteria and objective metrics.
🔥 The AI Interviewer auto-generates behavioural and technical questions tailored to the role's seniority and competency focus.
🔥 The Bias Checker audits job descriptions for ageist, gendered, or exclusionary language and rewrites them for broader reach.
I created it using custom LLM prompt pipelines using Gemini 2.5 Flash for hyper-fair, standardized evaluation reports and consistent scoring without compromising candidate data privacy.
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NOMAD is a luxury travel concept website built for a high-end travel curation brand, designed to show how generative AI can replace static destination guides with a real-time, personalized advisory engine. Beyond an elegant, editorial storefront showcasing the brand's travel philosophy across discovery, adventure, wellness, and culture, the site's centrepiece is an AI Custom Expedition Concierge, a tool that generates a complete, destination-specific luxury travel dossier on demand for any location a user types in. Built end-to-end: UX flow, visual design, and AI integration.
Key Features:
- AI Expedition Concierge: shoppers enter any destination (or pick from suggested sanctuaries like Kyoto or Santorini) and the AI generates a full advisory profile in seconds, including an evocative destination overview, hotel recommendations with ratings and pricing, must-see sights with ideal visit times, and local culinary picks with heritage notes.
- Verified Advisory Dossiers: each generated profile can be saved to a user's account, copied as a shareable link, or exported as a real, multi-page printable PDF dossier, turning AI output into a usable travel document rather than just on-screen text.
- Curated Concierge Advisories: alongside the generated content, the AI surfaces hyper-local etiquette tips, booking windows, and insider rules (e.g. when to book private viewings, seasonal crowd patterns) that go beyond generic travel-guide filler.
- Elite Stay & Sights Indexing: AI-generated recommendations are structured into clear categories (stay advisory, sacred sights, culinary escapes) with practical metadata like visit duration and "must do" call-outs for each entry.
- Full Storefront Build: a scroll-driven homepage with cinematic full-bleed imagery, editorial typography, and narrative sections (Wanderlust, Discovery, Adventure, Serenity, Culture, Horizon) that establish the brand's voice before guiding users into the advisory tool.
Tech/Tools: OpenAI, Python, Machine Learning, conversational AI integration
This is a concept build exploring how AI can turn a travel website from a static brochure into a living, on-demand concierge :generating a bespoke destination dossier in the time it takes to type a place name.
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Production-ready AI agents and SaaS built to scale reliably.
- $50k+
- Earned
- 4x
- Hired
- 132
- Followers
Production-ready AI agents and SaaS built to scale reliably.
LawShark — AI-Powered Legal Document Analysis Platform
Making legal document review faster, more accessible, and cost-effective through AI.
The Challenge
Legal document review is often time-consuming, expensive, and difficult for individuals and businesses without specialized legal expertise.
Users struggle to interpret complex legal language, identify important clauses, and manage multiple documents efficiently. Traditional legal consultations can also add significant costs and delays.
LawShark needed an intelligent platform that could simplify document analysis while providing secure access to legal information.
Our Solution
We developed LawShark, an AI-powered LegalTech platform designed to streamline legal document workflows.
Key features included:
• AI Document Analysis: Analyze legal documents and identify important clauses, risks, and relevant information.
• Automated Summaries: Transform complex legal content into clear, easy-to-understand summaries.
• AI Legal Assistant: Provide real-time AI assistance to help users understand legal documents.
• Smart Document Management: Organize and access legal files through an intuitive dashboard.
• Secure Document Storage: Protect sensitive legal information while maintaining convenient access.
The Results
LawShark delivered measurable improvements in legal document workflows:
• 75% faster legal document processing.
• 60% reduction in dependency on costly legal consultations.
• 88% accuracy in AI-generated legal insights.
The platform helped users navigate complex legal documentation more efficiently while reducing manual effort and improving accessibility.
Technology & Capabilities
Artificial Intelligence · Natural Language Processing (NLP) · Document Analysis · AI Chat · Secure Document Management · SaaS
Key Takeaway
LawShark demonstrates how AI can simplify complex professional workflows. By combining intelligent document analysis, real-time assistance, and secure document management, we created a scalable LegalTech solution that makes legal information easier to understand and manage.
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AutoStudio Pro — AI-Powered Vehicle Photography SaaS
Transforming ordinary car photos into professional, dealership-ready images using AI.
The Challenge
Car dealerships rely on high-quality vehicle photos to attract buyers, but professional photography is expensive, time-consuming, and difficult to scale.
Inconsistent lighting, cluttered backgrounds, and poor framing often make vehicle listings look less appealing, especially for dealerships managing large inventories.
The goal was to create an automated solution that could produce consistent, professional-looking vehicle images without traditional studio photography.
Our Solution
We developed AutoStudio Pro, an AI-powered SaaS platform built with Next.js and Google Nano Banana Pro.
The platform enables dealerships to upload vehicle photos and transform them into polished marketing assets through an automated AI workflow.
Key features included:
• AI Background Replacement: Transform ordinary dealership photos into professional studio-style images.
• Image Enhancement: Improve vehicle presentation through automated framing, polishing, and visual consistency.
• Multi-Agent AI Workflow: Coordinate image-processing tasks to produce consistent results.
• Custom Branding: Apply dealership watermarks for branded vehicle listings.
• Simple Upload Experience: Enable users to generate professional images without editing expertise.
The Results
AutoStudio Pro simplified vehicle photography and content preparation for dealerships.
• Turned ordinary vehicle photos into studio-quality listing assets.
• Reduced the need for manual photo editing and professional studio shoots.
• Created more consistent, branded visuals across vehicle inventories.
• Streamlined image preparation through an automated SaaS workflow.
Tech Stack
Next.js · Google Nano Banana Pro · Generative AI · Image Processing · Multi-Agent AI Workflows
Key Takeaway
AutoStudio Pro demonstrates how AI can transform a time-consuming business process into a scalable, user-friendly product. By combining generative AI with a streamlined SaaS experience, we made professional vehicle imagery more accessible to dealerships.
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Blue 360 Media — E-Commerce Modernization with React & Salesforce
Transforming a legacy legal publishing storefront into a modern, reliable, and CRM-connected e-commerce platform.
The Challenge
Blue 360 Media provides specialized legal publications for law enforcement professionals. Its existing Laravel-based platform made it difficult for customers to find jurisdiction-specific products, while inefficient Salesforce integrations and complex checkout workflows created operational challenges.
The goal was to simplify product discovery, modernize the shopping experience, and improve the reliability of backend integrations.
Our Solution
We developed a modern e-commerce platform using React and AWS Amplify, focusing on usability, performance, and seamless integrations.
Key improvements included:
• Smarter Product Search: Improved catalog navigation with state-specific and jurisdiction-based filtering.
• Salesforce Integration: Implemented paginated API calls for more efficient product data retrieval and integrated shipping information.
• Streamlined Checkout: Built reliable cart, shipping, and promotional code workflows.
• Payment Integration: Integrated Authorize.Net (http://Authorize.Net) and Braintree for payment processing.
• Modern Architecture: Replaced legacy frontend workflows with a more flexible React-based experience.
The Results
The modernization delivered a smoother shopping experience and more efficient commerce operations.
• Simplified product discovery for specialized legal publications.
• Reduced unnecessary data retrieval through Salesforce API pagination.
• Improved checkout reliability and payment workflows.
• Strengthened integration between the storefront and Salesforce.
Tech Stack
React · AWS Amplify · Salesforce · Authorize.Net (http://Authorize.Net) · Braintree · REST APIs
Key Takeaway
Blue 360 Media's transformation went beyond a visual redesign. By modernizing its architecture and connecting critical commerce systems, we delivered a more dependable e-commerce experience tailored to the needs of legal and law enforcement customers.
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