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$15/hr
100% Job Success
$6K+ earned
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Front-end Development: Frameworks & Libraries: Angular 2+, React (Next.js), Ionic Web Technologies: HTML, CSS, Tailwind CSS, JavaScript, jQuery UI Libraries & Frameworks: Bootstrap, React-Bootstrap, Material-UI, Angular Material, ngZorro, KendoUI, Syncfusion State Management: RxJS, NgRx, NGXS for large and small-scale applications Design Tools: Figma to UI Back-end Development: Technologies & Frameworks: Node.js, Express, EJS Databases: MongoDB Additional Skills: DevOps: Docker, NGINX, Continuous Integration/Continuous Deployment (CI/CD), AWS, Azure, Google Cloud Platform (GCP) API Integration: RESTful APIs, GraphQL, third-party API integration Security: Advanced security measures, OWASP best practices, JWT authentication, OAuth 2.0, SSL/TLS encryption Performance Optimization: Caching strategies, lazy loading, code splitting, performance monitoring Testing: Unit testing, integration testing, end-to-end testing with tools like Jest, Mocha, Chai, Cypress My extensive experience in front-end development with Angular, coupled with my proficiency in Node.js and MongoDB, allows me to deliver full-stack solutions that are both efficient and scalable. I have worked with RxJS, NgRx, and NGXS for state management in both large and small-scale applications, ensuring robust and maintainable code. I am adept at integrating third-party APIs and implementing advanced security measures to ensure the reliability and safety of the applications I develop. My DevOps skills, including Docker and NGINX, further enhance the deployment and maintenance of robust web applications.
$40/hr
$2K+ earned
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Hi! I am Senior Data Scientist with 6 years of hands-on experience delivering valuable insights and creating custom solutions using advanced analytics, data-driven methods, and machine learning models for various industries. Skilled in leading end-to-end projects, from data analysis and model development to deployment. Experienced in data analysis, machine learning, neural networks, data mining, statistical analysis, algorithms, and Python coding. But the main focus is on Computer Vision. I am a Master of Computer Science and take on a project of any complexity with great enthusiasm and responsibility. I have dealt with a wide variety of projects and industries, including sports, construction, e-commerce, and healthcare. You can expect a good job with all the relevant documentation and have the confidence that the result will be impressive. I skillfully use and integrate technologies from various stacks: 1. Python tools: - for data analysis and processing: pandas, numpy, scipy, nltk, OpenCV; - for creating solutions: TensorFlow, Keras, PyTorch, scikit-learn, XGBoost, Hugging Face, OpenMMLab; - for API development: FastAPI, Flask 2. Deploying solutions: DVC, tf-serving, Docker, Custom API, Git 3. RDBMS / DB: MySQL, PostgreSQL, BigQuery, ClickHouse, Redis 4. Cloud Solutions: GCP, AWS 5. ML-related technologies: Deep Learning (DL), Computer Vision (CV), Natural Language Processing (NLP), Time Series Forecast Some of my projects: 1. Customer Support Agent (Python, OpenAI, Hugging Face, Chroma, sentence-transformers, langgraph, crewAI): - Executed analysis of the conversational flow and its transformation into graphs as a DAG pipeline - Performed conversation modeling as an AI agent (chatbot) using LLM prompting and conversational history - Implemented data extraction functionality using NER, prompting, and tool (function) calling 2. Jewelry classification project (Python, AWS Rekognition, GCP Vertex AI, Ultralytics YOLO, PyTorch Vision, HuggingFace ViT, FastAPI, PostgreSQL, pandas, OpenCV): - Performed discovery phase and roadmap planning with the further leading of the AI team - Build data preparation, classification model training, and testing pipelines - Experimented with several computer vision frameworks and architectures - The deployed solution consisted of several classifiers for the REST API web server 3. Video Content Moderation system: (Python, AWS, Rekognition, FastAPI, Redis): - Researched content moderation services and video classification models - Deployed a solution that uses AWS Rekognition services with custom processing and job management as API 4. Object detection in sports games stream (Python, OpenCV, YOLO, FastAPI, socketio): - Developed an object detection model of football elements - Researched and implemented custom algorithms for object tracking in stream - Developed a model training pipeline including data augmentation techniques - Deployed solution to serving service using RESTful and web-socket architectures 5. E-commerce Monitoring & Intelligence Platform (Python, Pandas, Plotly, Numpy, XGBoost, MySQL, ClickHouse): - Collected data provided by customers - Cleaned and prepared the data for further use - Aggregated and estimated the sales data and its insights - Developed the data visualization 6. Regulation-checking system in construction (Python, OpenCV, YOLOv5, U-NET, FastAPI, MediaPipe): - Researched and implemented an image processing pipeline using OpenCV (thresholding, histogram equalization, etc). - Researched and implemented object detection of construction elements - Researched semantic segmentation of construction environment - Researched pose estimation of a construction environment - Deployed solution that detects noncompliance of partial OSHA regulation to web server 7. Data analysis from VR sensors (Python, Numpy, Plotly, signal filtering and processing algorithms, RabbitMQ): - Researched and implemented statistical analysis of sensor data - Performed architecture migration from monolithic data processing to chunk processing from queue 8. Geo Railroad Analytical System (Python, Pandas, Numpy, networkx): - Implemented railroad data analysis and ETL pipeline of data transformation - Implemented railroad network graph system for best track path detection and incomplete track recreation 9. Dance club project (Python, Flask, Pandas, Plotly, Kotlin, OkHTTP, navigation architecture): - Developed web server with admin panel - Implemented analytical dashboards and report generation - Developed a mobile application for instructors to use 10. Users behavior analysis (Python, XGBoost, Flask, PostgreSQL, alembic, Pandas): - Developed and implemented user classification and prediction VIP system based on their behavior using XGBoost Classifier - Deployed solution as an API 11. Market Analytics....
Amazinum
Associated with
Amazinum
$90K+
earned
$40/hr
100% Job Success
$100K+ earned
Offers consultations
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With 10+ years of full-stack development, 100+ scalable web apps shipped, and 10,000+ hours architecting Python backends and modern React frontends, I build production-ready systems that scale with your business. My solutions have delivered: * 65% faster page load times through React optimization & server-side rendering * 50% growth in backend performance via Python API optimization & caching * 90% reduction in deployment issues with automated CI/CD pipelines and containerized environments I'm a Top Rated Senior Full-stack developer, specializing in Python for backend and React / TypeScript for frontend - building seamless, secure, and performant web applications from end to end. Why Clients Choose My Full-Stack Expertise * 10+ years developing end-to-end web platforms for startups and enterprises * 100+ successful production deployments across SaaS, e-commerce, fintech, and internal tools Expert in FastAPI, Django, Flask for backend and React + TypeScript for frontend Strong API design, cloud architecture, and CI/CD automation skills Proven results: faster delivery cycles, reduced infrastructure costs, and improved user experience Backend Engineering (Python) * Architecting and developing RESTful and GraphQL APIs using FastAPI, Django, Flask * Database modeling & optimization with PostgreSQL / MySQL / MongoDB / Redis * Authentication & authorization systems (JWT, OAuth2), background workers, cron jobs * Task queues, caching layers, and performance tuning for scalable services Frontend Development (React / TypeScript) * Building high-performance SPAs with React, Next.js, and modern TypeScript architecture * Implementing server-side rendering (SSR) and code splitting for SEO & speed * Component libraries, state management (Redux / Context), and pixel-perfect UI development * API integration, forms, routing, error boundaries, and testing API Architecture & Integrations * Designing clean, secure, and versioned APIs consumed by multiple frontends * Building microservices and internal tools integrated with 3rd-party APIs (Stripe, Auth0, Slack, etc.) * WebSocket & real-time data flows, background processing, and pub/sub systems Tech Stack & Tooling Languages Python · JavaScript (ES6+) · TypeScript · HTML5 · CSS3 Backend Frameworks FastAPI · Django · Flask Frontend Frameworks React · Next.js Databases PostgreSQL · MySQL · MongoDB · Redis Tooling & DevOps Docker · GitHub Actions · GitLab CI/CD · Nginx · AWS / GCP / Azure · S3 · CloudFront Other REST / GraphQL · WebSockets · Celery / RQ · Background Jobs · Testing (Pytest, Jest, React Testing Library) · ESLint · Prettier Recent Wins * SaaS Platform - Built a Python + React platform from scratch; reduced page load times by 62% with SSR and API caching. * E-Commerce Backend - Migrated a monolith to FastAPI microservices; backend throughput improved by 48%. * Internal Dashboard - Delivered a React admin panel with real-time updates and granular RBAC; boosted team efficiency by 35%. * DevOps Automation - Set up CI/CD pipelines and Docker; 90% fewer deployment issues. * Analytics API - Designed a FastAPI backend serving 1M+ requests/day with Redis caching and async I/O. Use Cases * SaaS Platforms - Multi-tenant apps with secure auth, dashboards, and APIs * E-Commerce Backends - Product catalogs, order flows, and payment integrations * Internal Tools & CRMs - Fast admin panels, role-based access, and real-time updates * API-Driven Systems - High-performance backends powering multiple frontends & mobile apps * Modern Frontends - React SPAs and SSR apps with excellent performance and UX Measurable Results * +65% faster frontend load times with code splitting & SSR * +50% backend performance boost using async APIs & caching * +90% fewer deployment issues with containerized CI/CD pipelines * +40% cost reduction by optimizing cloud infrastructure * 2× developer velocity through clean architecture & automation Ready to scale your product with a battle-tested Full-Stack Engineer? Let's build something fast, clean, and production-ready - together.
Computools
Associated with
Computools
$39/hr
$0 earned
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illuma.ge Designing and building high-load SaaS platforms and enterprise solutions for retail, restaurants, e-commerce, marketplaces, POS systems, CRM, ERP, loyalty programs, FinTech, and AI-powered applications. Specialized in scalable architectures, distributed systems, AI agents, and intelligent business process automation ###_Core Expertise ##_Artificial Intelligence & Machine Learning - Generative AI, LLMs, Agentic AI Systems - OpenAI GPT, Claude, Gemini, DeepSeek, Mistral, Llama - RAG (Retrieval-Augmented Generation) - LangChain, LangGraph, CrewAI, AutoGen - Vector Databases: Pinecone, Qdrant, Weaviate, Milvus - Prompt Engineering - Fine-tuning and Model Optimization - NLP, OCR, Speech-to-Text, Text-to-Speech - Recommendation Engines - Predictive Analytics ##_Software Architecture - High-Load and Distributed Systems - Microservices Architecture - Event-Driven Architecture - Domain-Driven Design (DDD) - CQRS and Event Sourcing - Clean Architecture - Hexagonal Architecture - Multi-Tenant SaaS Platforms - API-First Design - Serverless Architecture - Scalable Cloud Infrastructure ##_Programming Languages - TypeScript - JavaScript - Python - Node.js - Go - Java - C# - PHP ##_Backend Development - NestJS - Express.js - FastAPI - Django - Flask - Spring Boot - ASP.NET Core - Laravel ##_Frontend Development - React - Next.js - Vue.js - Nuxt.js - Angular - TypeScript - Redux - Zustand - Tailwind CSS - Material UI - ShadCN UI ##_Mobile Development - React Native - Flutter - Kotlin - Swift - Progressive Web Applications (PWA) ##_Databases #_Relational Databases - PostgreSQL - MySQL - MariaDB - Microsoft SQL Server #_NoSQL Databases - MongoDB - Redis - Cassandra - Elasticsearch - DynamoDB #_Analytical Databases - ClickHouse - BigQuery ##_Messaging and Streaming - Apache Kafka - RabbitMQ - NATS - Redis Streams - Apache Pulsar ##_Cloud Platforms - Amazon Web Services (AWS) - Google Cloud Platform (GCP) - Microsoft Azure - DigitalOcean - Cloudflare ##_DevOps & Infrastructure - Docker - Kubernetes - Helm - Terraform - CI/CD Pipelines - GitHub Actions - GitLab CI/CD - Jenkins - Nginx - Traefik ##_Monitoring & Observability - Prometheus - Grafana - Loki - ELK Stack - OpenTelemetry - Sentry ##_Security - OAuth2 - JWT - OpenID Connect - RBAC / ABAC - Multi-Factor Authentication (MFA) - Encryption - PCI DSS Compliance - GDPR Compliance - SOC2 Standards ##_Payment Systems - Stripe - PayPal - Square - Adyen - Apple Pay - Google Pay ##_Integrations - ERP Systems - CRM Platforms - SAP - Salesforce - HubSpot - Shopify - WooCommerce - Telegram API - WhatsApp Business API - Twilio - Email Service Providers - SMS Gateways ##_Data Engineering - ETL / ELT Pipelines - Apache Airflow - Kafka Streams - Apache Spark - Data Warehousing - Business Intelligence Systems ##_Real-Time Systems - WebSockets - Server-Sent Events (SSE) - Event Streaming - Real-Time Analytics - Notification Systems ##_Blockchain & Web3 - Smart Contracts - Ethereum - Solana - Wallet Integrations ##_Business Domains - Retail and Commerce Platforms - POS Systems - Restaurant Management Systems - CRM and ERP Solutions - Inventory Management Systems - Warehouse Management Systems (WMS) - Order Management Systems (OMS) - Loyalty Platforms - Booking and Reservation Systems - Delivery Platforms - E-Commerce Solutions - Marketplace Platforms - Multi-Vendor Systems - Subscription-Based SaaS Platforms - FinTech Solutions - AI Assistants and Agentic Systems - Omnichannel Sales Platforms - B2B and B2C Applications - Enterprise Software Solutions ##_Key Competencies - Enterprise Software Architecture - Designing Fault-Tolerant Systems - Scaling Applications to Millions of Users - Performance Optimization - API Design and System Integrations - AI-Driven Business Automation - Cloud-Native Infrastructure - DevOps and CI/CD Implementation - Distributed Systems Engineering - Technical Leadership and Team Management - Solution Architecture - Product Engineering
$31/hr
$50K+ earned
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I'm a 𝐒𝐨𝐟𝐭𝐰𝐚𝐫𝐞 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 𝐰𝐢𝐭𝐡 𝐨𝐯𝐞𝐫 𝟒 𝐲𝐞𝐚𝐫𝐬 of experience, specializing in designing robust databases and APIs. I thrive on solving complex problems through innovative algorithms and efficient coding solutions. 𝐊𝐞𝐲 𝐒𝐭𝐫𝐞𝐧𝐠𝐭𝐡𝐬: 🔹 Database Design: Expertise in architecting database schemas that are both scalable and efficient_ 🔹 API Development: Proficient in creating APIs that facilitate seamless data flow and integration_ 🔹 Algorithm Optimization: Passionate about utilizing and developing algorithms to optimize performance and solve challenging problems. 🔧 𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐌𝐚𝐬𝐭𝐞𝐫𝐲: Node.js, Nest.js, AWS. Mongodb, PostgreSQL, MySQL, ClickHouse, HTML5, CSS3, Typescript, Docker, Docker Compose, Fastify, Express, Mocha, Git, GitHub actions, Gitlab CI, Webpack, Kafka, BullMQ, RabbitMQ, Knex.js, Chai.js, Swagger, Redis, rx.js, Sentry, Git, Nginx, Terraform, Serverless, Stripe SDK/API. 🌐 Got an idea or a project in mind? Let's turn it into reality! 📩 Drop me a message and we can start discussing your vision right away. 🤝 Thank You! Looking forward to our potential collaboration.
$40/hr
$600+ earned
Available now
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Hi there! I’m Ilmyrat, a Senior Full Stack Developer with extensive expertise in building user-friendly and scalable web applications. With a background in industries like legal tech, e-commerce, and ERP/CRM systems, I bring a well-rounded skill set to every project. What I Do Best: Backend Development: Proficient in PHP (Laravel, Lumen) and MySQL, with experience in Elasticsearch for advanced search capabilities and data management. I’m skilled in creating secure and efficient APIs, including REST APIs for mobile apps. Frontend Development: Using HTML5, CSS3, Bootstrap, and JavaScript frameworks (React, jQuery) to create responsive, engaging user interfaces. Problem Solving: I tackle complex challenges head-on, whether it’s automating processes, optimizing performance, or enhancing user experience. Collaboration: A team player who values respect and knowledge-sharing. I thrive in collaborative environments and am committed to building productive and respectful workspaces. Past Successes: Developed custom document management solutions in legal tech, streamlining processes and improving client communication. Implemented Elasticsearch in an e-commerce project, significantly enhancing search functionality and user experience. Built high-quality, secure web and mobile apps, adhering to Agile and Domain-Driven Design methodologies. Why Work With Me? With a passion for continuous learning, I’m always staying up-to-date with the latest industry trends to provide the best possible solutions. If you’re looking for a detail-oriented developer who delivers real results, let’s chat!
$30/hr
$0 earned
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I am an experienced Software Engineer with over 10 years of experience in creating scalable, reliable systems using technologies like Golang, PHP, PostgreSQL, and AWS. My expertise encompasses modern programming principles, including SOLID and clean architecture, ensuring high-quality code through rigorous reviews and testing. I have hands-on experience with Docker and Kubernetes for efficient scaling and deployment, and I thrive in dynamic environments with evolving requirements. I specialize in API design and microservices, always aiming to enhance performance and user experience. If you need a developer who can expertly navigate complex challenges and deliver effective solutions, let's discuss your project and how I can contribute to your success.
$50/hr
$6K+ earned
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I build AI agents that actually run in production, not demos that break on the second query. If you need an LLM-powered system that is reliable, cost-efficient, and maintainable, that is exactly what I do. Most "AI developers" have built chatbot wrappers. I have shipped multi-agent systems at a Fortune-scale logistics company that resolve critical production incidents in under 30 minutes, systems that engineers depend on daily. WHAT I BUILD: Multi-agent systems with LangGraph: supervisor/worker patterns, stateful workflows, human-in-the-loop approval gates MCP (Model Context Protocol) servers and integrations: custom tools that let Claude/GPT securely access your databases, APIs, and internal systems RAG pipelines that stay accurate: hybrid search (vector + keyword), reranking, semantic caching, evaluation harnesses Document intelligence: OCR to structured JSON pipelines that cut LLM token costs by 60%+ vs raw image processing. Agent cost optimisation: semantic caching (I have achieved 99% cache hit rates), model routing, prompt compression. PRODUCTION RESULTS: Built an RCA (root cause analysis) agent system over 33B+ log rows (ClickHouse) + code intelligence + dependency graphs (Neo4j). Cut P1/P2 incident resolution from 4+ hours to under 30 minutes. Designed a 6-agent document processing pipeline (LangGraph + FastMCP + pgvector) with 0.92 cosine similarity caching, reaching ~99% cache hit rate and 65% token cost reduction. 10+ years of backend engineering underneath: I understand the systems your agents connect to (Kafka, PostgreSQL, Kubernetes, AWS), so integrations are solid, not duct tape. WHY IT MATTERS: The hard part of AI agents is not the LLM call. It is state management, error recovery, cost control, observability, and clean integration with your existing stack. That is distributed systems engineering, which is my core profession. TECH: LangGraph, LangChain, MCP, Claude/GPT/open models, pgvector, ClickHouse, Neo4j, Python, FastAPI, PostgreSQL, Redis, Kafka, Kubernetes, AWS, OpenTelemetry Available for: agent MVPs, RAG system builds, MCP server development, AI architecture reviews, rescuing stalled AI projects. Message me with what you are trying to automate. I will tell you honestly whether an agent is the right solution or overkill. Skills tags LangGraph, LangChain, AI Agent Development, RAG, Model Context Protocol, LLM, Prompt Engineering, Python, FastAPI, pgvector, Vector Databases, OpenAI API, Anthropic Claude, Machine Learning Integration, API Integration
$70/hr
$400K+ earned
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Hi! I'm an experienced web developer with 15+ years (10 of them in remote English-speaking teams) in building scalable and efficient applications. While my core expertise lies in backend development, I’m also proficient in frontend technologies, allowing me to deliver end-to-end solutions. 💡 Why work with me? - Proven expertise – I've worked on projects ranging from startups to enterprise-level applications, both as a tech lead and as a team player in agile, distributed teams. - High-performance coding – My background in competitive programming means I can write fast and efficient code, balancing speed with maintainability. - Modern development practices – I follow best practices like TDD/BDD, CI/CD, code reviews, static analysis, and DevOps workflows to ensure high-quality results. - Cloud & Infrastructure – Extensive experience with Google Cloud (GCP), AWS, Kubernetes, and Docker, making me a great fit for cloud-based, microservices/serverless architectures. 🛠️ Tech Stack (Used in Production in the Last 5 Years): - Backend: Node.js (Express.js), TypeScript/JavaScript - Frontend: React.js - Databases: PostgreSQL, MySQL, Redis, Bigtable - DevOps & Cloud: Google Cloud (GCP), AWS, Kubernetes, Docker, Helm - CI/CD & Testing: Jenkins, Jest, ESLint, SonarQube, Snyk - Messaging & Queues: RabbitMQ, Redis, Pub/Sub - Infrastructure: Linux (Debian-based), nginx 🔄 Past Experience: I’ve also worked extensively with PHP, Golang, Python, Laravel, Yii, MongoDB, Cassandra, ClickHouse, Sphinx, Elasticsearch, Selenium, PhantomJS, and various CI/CD tools (Travis, TeamCity, Bamboo, CodeBuild). 🔹 Whether you need a high-performance backend, a scalable microservices architecture, or a full-stack web app, I’m ready to help! Let’s discuss your project.
$48.3/hr
100% Job Success
$7K+ earned
Offers consultations
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Welcome! I’m Ahmed Elhadidi, an AI Engineer with 8 years of experience turning ambitious ideas into transformative, AI-driven solutions. With a BSc and MSc in Computer Science and over 50 successful projects, I specialize in crafting cutting-edge AI systems that deliver real-world results. What I Offer 💡 Custom AI Chatbots I design chatbots that combine fine-tuned AI models and Retrieval-Augmented Generation (RAG) for intelligent, context-aware interactions tailored to your needs. 📱 AI-Powered Mobile Apps From concept to deployment, I create mobile apps that integrate AI for smarter, intuitive user experiences. Genhairator, my flagship AI app, simulates hair transplant results from user images, revolutionizing client consultations in the cosmetic industry. 🧠 Fine-Tuned AI Models Need AI that works for your domain? I fine-tune GPT, BERT, and custom LLMs to meet your exact requirements, ensuring high accuracy and efficiency. 🎯 RAG-Based AI Solutions I build retrieval-augmented systems that combine LLMs with knowledge retrieval for precise, context-aware results across industries. Why Work With Me? ✅ Proven Expertise: With certifications and 8 years of hands-on experience, I’ve mastered AI development, mobile app creation, and system integration. ✅ Real-World Results: My solutions, like Genhairator, are deployed and thriving in real-world scenarios, delivering measurable value. ✅ Client-Focused: I prioritize your success, tailoring every project to your unique goals and delivering on time with top quality. ✅ Scalable and Secure Solutions: Whether a startup or enterprise, I ensure scalability, reliability, and security for all solutions. Core Technical Skills 🤖 AI/ML: Fine-tuning GPT, BERT, and custom LLMs, NLP, computer vision. 📱 Mobile Development: Flutter (Dart), iOS, Android, AI-powered apps. ⚙️ DevOps: Docker, Kubernetes, CI/CD pipelines, cloud integration. 🔐 Cybersecurity: Secure API and app development, data protection. 📊 Data Management: Firebase, Qdrant, Supabase, Postgress, Clickhouse, MongoDB. Notable Projects 🌟 Genhairator: AI-powered mobile app that transforms client images to simulate hair transplant results. Loved by users for its accuracy and ease of use. 🌟 Customer Support Chatbot: Fine-tuned GPT-based chatbot with RAG, reducing response times by 60% and increasing customer satisfaction by 40%. 🌟 AI Recommendation Engine: Developed for an e-commerce platform, boosting product visibility and sales by 30%. 🌟 Secure API for AI Solutions: Built a scalable API framework for enterprise-level AI model integration. Let’s make your vision a reality with cutting-edge AI. Click 'Hire Me' to start your next AI-driven project today!