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An independently built SOC platform combining host telemetry, rule-based detection, machine-learning anomaly detection, real-time incident management, and analyst collaboration in a unified interface.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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Northstar CRM: Full-Stack Customer Relationship and Sales Management Platform
I designed and developed Northstar CRM to transform customer relationship management into a focused, visually intuitive, and connected workspace. Instead of overwhelming sales teams with dense tables and fragmented tools, I structured the platform around clear customer insights, actionable sales data, and streamlined daily workflows.
The visual identity combines a soft atmospheric background with glass-inspired surfaces, dimensional cards, and vibrant blue, teal, yellow, and charcoal accents. Carefully layered shadows, subtle gradients, and elevated components create a refined 3D appearance while maintaining clarity and professional usability. The entire interface follows a consistent 4:3 presentation ratio, making every screen suitable for portfolio displays and high-quality screenshots.
The overview dashboard gives users an immediate picture of business performance. Key metrics—including total revenue, pipeline value, completed tasks, priority deals, recent activities, and upcoming meetings—are presented through scannable cards, progress indicators, compact charts, and contextual status colours. This allows teams to identify important changes and required actions without navigating through multiple reports.
The customer management screen provides a searchable directory with company information, recent interactions, account value, relationship status, and assigned ownership. Selecting a customer dynamically updates the detailed profile panel, where users can review contact information, relationship health, next actions, and communication options such as messaging, calling, or scheduling a meeting.
The deal pipeline organizes opportunities into clear stages, including Discovery, Proposal, Negotiation, and Closing. Each opportunity card displays its customer, estimated value, expected closing date, owner, and current stage. The Kanban-style structure gives sales teams a visual understanding of pipeline movement while supporting faster prioritization and opportunity management.
The calendar and reporting screens connect operational planning with performance analysis. The calendar provides monthly scheduling, customer meetings, deadlines, focus time, and team commitments. The reporting workspace combines revenue trends, conversion rates, customer retention, pipeline sources, account health, and period-based performance comparisons through interactive charts and summary cards.
On the backend, I implemented a modular Node.js and Express REST API connected to a PostgreSQL database. The data model supports users, customers, companies, contacts, deals, pipeline stages, activities, tasks, meetings, notes, and reporting records. Structured relationships and indexed queries ensure that customer histories, pipeline summaries, and dashboard analytics remain fast and consistent as the dataset grows.
Authentication is handled through secure token-based sessions, password hashing, protected API routes, and role-based access control. Different permissions can be assigned to administrators, sales managers, and sales representatives, ensuring users only access or modify information relevant to their responsibilities. Input validation, centralized error handling, audit logging, and rate limiting strengthen reliability and application security.
Real-time updates allow changes to deals, tasks, customer activity, and meeting schedules to appear across connected screens without requiring a manual refresh. Background processes handle reminders, notifications, scheduled follow-ups, and reporting calculations, while caching improves the performance of frequently requested dashboard metrics.
Across the complete full-stack platform, I prioritized reusable frontend components, responsive layouts, secure API design, reliable data relationships, and consistent interaction patterns. The result is a modern CRM experience that feels premium and approachable while providing the technical foundation required for scalable customer management, sales execution, and business intelligence.
The backend model is the interesting part here. Once customer history, pipeline stages, tasks, and meetings share relationships, it’s easy for dashboard numbers to drift from the underlying records. Did you calculate those summaries on demand, or keep derived reporting data updated through the background jobs you mentioned?
Full-stack restaurant management system with order, menu, table, inventory, staff, customer, sales, and reporting features, built for efficient daily operations.
Sagini AI Analytics — AI-powered data intelligence platform (sagini.net)
Designed and built the full marketing site for Sagini AI Analytics, a tool that turns any uploaded file into instant charts, insights and anomaly reports.
The visual identity here is deliberately different from a typical SaaS landing page. Instead of the common blue and sans-serif "tech" look, the site pairs a deep navy background with a warm gold accent and a serif display typeface for headlines. This gives the product a premium, editorial feel that signals trust and authority, fitting for a tool people use to make decisions on their actual data. Body copy stays in a clean sans-serif for contrast and readability, so the serif is reserved for moments that need weight.
The hero headline uses two different type treatments in one sentence: "Your data," in a solid serif, "decoded instantly" in a gold italic script. This creates a clear visual hierarchy and makes the value proposition the most memorable element on the page, rather than burying it in a paragraph. A trust bar directly below (10+ formats, under 5 seconds, AI powered, 100% your data) answers objections before the visitor has to ask.
The "How it works" section uses a three-step numbered layout with a connecting line between steps, which reads as a literal pipeline rather than a bullet list, reinforcing the "file in, insight out" simplicity of the product. The features grid below groups capabilities into six equal cards with consistent icon and copy structure, making a technically dense feature set easy to scan.
The supported-formats section replaces a wall of text with format badges (CSV, PDF, XLSX, PNG, and others), which communicates breadth instantly and visually rather than through a sentence a visitor would skim past.
The page closes with a repeated, high-contrast CTA block on the gold-accented navy background, plus an honest "Currently in Beta" and "Free during beta" disclosure, which builds trust rather than undermining it.
Stack: FastAPI, Python, Claude API. Deployed with nginx, systemd, Let's Encrypt SSL, MySQL.
