Freelance Software Engineers in GujranwalaFreelance Software Engineers in Gujranwala
AI-powered web apps, SaaS backends & automations.
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AI-powered web apps, SaaS backends & automations.
Cover image for AI-Powered Lead Automation Website for
AI-Powered Lead Automation Website for a Real Estate AI Startup Built a full marketing site for a startup selling AI voice + chat automation to real estate agencies — the kind of project where the design had to sell "AI that never sleeps" before a single line of copy did. The challenge: The client's pitch was simple but the proof had to be visual: leads get missed after hours, after open homes, and in cold databases — and their AI catches all three. The site needed to feel alive — like the AI was actually running in the background — not just describe automation with a static hero image. What I built: A dark, glass-morphic hero with a live animated 3D AI avatar (Three.js) that reacts and pulses, paired with a custom cursor and magnetic buttons for a premium, "always-on" feel Animated counters and a scrolling proof ticker (GSAP + ScrollTrigger) that reveal results and capabilities as you scroll, instead of dumping everything above the fold A "Problem" section built around four real numbered failure points agencies actually experience (late-night enquiries, open-home follow-up, vendor nurture, database reactivation) — each paired with how the AI solves it A live embedded chat bot demo panel plus a placeholder for a voice bot demo, so prospects could try the product instead of reading about it A 4-step "how it works" process timeline and a results section translating automation into business outcomes (more appraisals, faster response time, always-on coverage) Full mobile responsiveness and a booking-call CTA wired straight into their CRM funnel Stack: Semantic HTML5 with a token-based CSS architecture (custom properties, fluid typography, CSS Grid) for a maintainable design system; GSAP + ScrollTrigger driving the scroll-based motion; Three.js/WebGL powering the real-time 3D avatar; vanilla ES6+ for interaction logic (no framework overhead); integrated with a CRM booking API for lead capture and routing. The result: A site that doesn't just claim "AI that never misses a lead" — it demonstrates it, from the first scroll to the live chat demo, giving the client a genuinely differentiated landing page in a market full of templated agency sites.
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AI Engineer | Full-Stack Engineer I Blockchain Developer
AI Engineer | Full-Stack Engineer I Blockchain Developer
Cover image for Time-Tracker Pro — Intelligent Time
Time-Tracker Pro — Intelligent Time Management & Productivity SaaS A comprehensive SaaS platform that helps teams and freelancers track time, manage projects, and optimize productivity with AI-powered insights. Core Features: Real-time time tracking with automatic detection Project & task management with hierarchical organization Detailed time analytics and productivity reports Team collaboration & billable hours tracking Invoice generation from tracked time Browser extension for seamless tracking Mobile app for on-the-go time logging Idle time detection & smart reminders Integration with popular tools (Slack, Jira, Asana, Google Calendar) AI-Powered Capabilities: Automatic activity categorization using machine learning Predictive project time estimates Productivity insights & trend analysis Smart recommendations for time optimization Natural language project/task creation Anomaly detection for unusual patterns Dashboard & Reporting: Real-time team activity dashboard Customizable productivity reports Time distribution charts & visualizations Client billing reports with detailed breakdowns Performance metrics & KPIs Export to PDF, CSV, or integrate with accounting software Technical Stack: Frontend: React, Next.js, TypeScript, Tailwind CSS Backend: Node.js, Express, NestJS Database: PostgreSQL for relational data, Redis for caching AI/ML: Python (scikit-learn, TensorFlow) for predictions Real-time: WebSockets for live updates Infrastructure: Docker, AWS EC2, S3, Lambda CI/CD: GitHub Actions Authentication: OAuth 2.0, JWT tokens Key Accomplishments: ✓ 1000+ concurrent users support ✓ Sub-100ms API response times ✓ 99.9% uptime SLA ✓ Encrypted data storage & transmission ✓ GDPR compliant ✓ Scalable microservices architecture ✓ Automated testing (Jest, Cypress) This project demonstrates expertise in: SaaS architecture & scalability Real-time systems & WebSockets AI/ML integration for predictions Payment processing & invoicing User authentication & security Team collaboration features Production deployment & DevOps
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Cover image for AI-Powered Application - LLM Integration
AI-Powered Application - LLM Integration & Intelligent Automation A production-grade application that leverages large language models (LLMs) to deliver intelligent automation, real-time assistance, and enhanced user experiences. Core Features: Multi-turn conversational AI with context awareness Retrieval-Augmented Generation (RAG) for knowledge-grounded responses Function calling for external API integrations Real-time streaming responses for better UX Prompt engineering for task-specific outputs Fine-tuned models for domain-specific use cases Vector database integration (Pinecone, Weaviate) Intelligent document processing & summarization Application Capabilities: Natural language understanding & processing Automated content generation Smart data extraction from unstructured text Intelligent customer support automation Code generation & debugging assistance Real-time translation & multilingual support Advanced search with semantic understanding Personalized recommendations Tech Stack: LLM APIs: OpenAI (GPT-4), Claude, Cohere Frontend: React, Next.js, TypeScript, Tailwind CSS Backend: Node.js, Express, FastAPI (Python) Vector Databases: Pinecone, Weaviate, Chroma Infrastructure: Docker, AWS, Vercel Monitoring: LangSmith, Helicone for LLM tracking Architecture Highlights: ✓ Asynchronous processing for scalability ✓ Caching strategies to optimize LLM costs ✓ Error handling & fallback mechanisms ✓ Rate limiting & usage monitoring ✓ Security: API key management, data encryption ✓ Performance: Sub-second response times ✓ Cost-optimized with token management This project demonstrates expertise in: LLM integration and orchestration Prompt engineering and optimization RAG pipeline development Production-grade AI systems Full-stack application architecture
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Software Engineer -> ( Software documentation & Development)
Software Engineer -> ( Software documentation & Development)
Frontend Engineer | React Developer |Next.js Developer|
Frontend Engineer | React Developer |Next.js Developer|