My work covers the complete product lifecycle from transforming ideas into technical roadmaps, architecture planning, UI/UX implementation, backend development, AI integrations, testing, deployment, and long-term scaling support across iOS, Android, Web, and cloud platforms. Over the 15+ years of hands-on experience delivering products for startups, enterprises, agencies, and government-backed initiatives, where I’ve delivered 250+ successful projects for global organizations and brands, including Imagine, RunTheDay, SmartGen, Wishper-AI, Rhubarb-AI, AT&T, Verizon, Univision, Telefonica, Sprint, PepsiCo, Airtel, Amazon, Goldman Sachs, OLX, FountainLife, MySpace, SHL, LetsIntern, AMCAT, and many others. I have also completed multiple impactful projects in collaboration with the European Union and the Government of India. I maintain clear updates throughout development, proactively identify blockers, and adapt to overlapping client time zones to ensure smooth collaboration and predictable delivery timelines. My Technical Expertise: Mobile Development: React Native, Flutter, Swift, Objective-C, Java, Kotlin Backend Development: NodeJS, PHP, Laravel, Python, Java, Dot NET, REST APIs, Firebase Databases: PostgreSQL, MySQL, MongoDB, SQLite, Core Data, Firestore Cloud & Infrastructure: AWS, Firebase, GCP, Supabase Payments & Secure Transactions: Stripe, Braintree, Apple Pay, Google Pay, Razorpay Realtime & Communication: Firebase, SignalR, Twilio, QuickBlox CI/CD & DevOps: AWS, Azure, GCP, Kubernetes, GitHub Actions, GitLab CI, Jenkins, CircleCI, Supabase, DigitalOcean Cross-Platform & No-Code Ecosystem: FlutterFlow, Adalo, Figma-to-Production Workflows AI Tools & Platforms: OpenAI APIs, Claude AI, Cursor AI, GitHub Copilot, LangChain, Pinecone, Hugging Face, Vercel AI SDK, N8N, Make dot com, Zapier, Firebase AI Integrations AI & Automation: AI Chatbots & Conversational Systems, LLM Integrations (OpenAI, Claude, Gemini), AI Recommendation Systems, Speech-to-Text & Text-to-Speech, AI Workflow Automation, RAG-based AI Systems, AI Agents & Autonomous Workflows, Prompt Engineering, AI-powered Analytics & Personalization, Document Parsing & OCR Systems, Process Automation using N8N IoT & Smart Device Integrations: BLE & Wi-Fi Devices, OBD-II Integrations, Apple Watch & Fitness Devices, Beacon Technologies (iBeacon, BlueCat) Security & Compliance: OAuth2, PKI, Secure Authentication, HIPAA & GDPR Compliance, 128-bit Encryption Standards I’m available for full-cycle product development, AI integration projects, long-term collaborations, technical leadership roles, and scaling existing applications. If you’re building a serious product and need an experienced engineering partner who can combine strong software engineering with modern AI capabilities, I’d be happy to discuss your project.

🏆 Generated $700K+ revenue through Google Ads & Meta Ads campaigns 🏆 Managed campaigns across eCommerce, SaaS, Healthcare, Legal, Real Estate & Local Businesses 🏆 12+ Years of PPC & Performance Marketing Experience As a Google Ads expert, I create high converting campaigns for eCommerce, SaaS, local businesses, startups, and service based companies. As a Meta Ads expert, I manage Facebook Ads and Instagram Ads campaigns focused on lead generation, sales, and brand growth. 🎯 𝐂𝐨𝐫𝐞 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 ✅ Google Ads ✅ Meta Ads ✅ PPC Management ✅ Facebook Ads ✅ Instagram Ads ✅ Conversion Tracking ✅ Google Analytics 4 ✅ Google Tag Manager ✅ Meta Pixel ✅ Conversion API ✅ Lead Generation ✅ Performance Marketing ✅ Campaign Optimization ✅ Ecommerce Marketing ✅ Search Ads ✅ Shopping Ads ✅ Display Ads ✅ YouTube Ads ✅ Remarketing ✅ Retargeting Ads ✅ Landing Page Optimization ✅ Funnel Optimization ✅ A/B Testing 📈 𝐖𝐡𝐚𝐭 𝐈 𝐃𝐞𝐥𝐢𝐯𝐞𝐫 ✔ Google Ads campaign setup ✔ Google Ads optimization ✔ Meta Ads campaign management ✔ Facebook Ads optimization ✔ Instagram Ads management ✔ PPC management strategies ✔ Conversion tracking setup ✔ Google Analytics 4 integration ✔ Google Tag Manager setup ✔ Meta Pixel implementation ✔ ROI optimization ✔ Performance marketing solutions ✔ Lead generation campaigns ✔ Ecommerce PPC management ✔ Audience targeting and retargeting 🏢 𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐢𝐞𝐬 𝐖𝐨𝐫𝐤𝐞𝐝 𝐖𝐢𝐭𝐡 🛒 Ecommerce 💻 SaaS 🏥 Healthcare 🏠 Real Estate ⚖️ Legal Services 💰 Finance 🎓 Education 🚗 Automotive 🔧 Home Services 🏢 B2B Companies 👗 Fashion Brands 💄 Beauty Brands ⭐ 𝐖𝐡𝐲 𝐇𝐢𝐫𝐞 𝐌𝐞 As a Google Ads expert, I focus on maximizing ROI, reducing CPA, improving CTR, and scaling profitable campaigns. My PPC management process is fully data driven and performance focused. As a Meta Ads expert, I create Facebook Ads and Instagram Ads campaigns using audience targeting, retargeting, lookalike audiences, and conversion focused strategies. My expertise in conversion tracking ensures accurate campaign data using Google Analytics, Google Tag Manager, Meta Pixel, and Conversion API setups. 🚀 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 & 𝐑𝐞𝐬𝐮𝐥𝐭𝐬 I am a Google Ads expert focused on building profitable Google Ads campaigns, optimizing Google Ads performance, improving Google Ads conversions, and scaling Google Ads ROI for businesses across multiple industries. As a Meta Ads expert, I create Meta Ads strategies, optimize Meta Ads campaigns, manage Meta Ads budgets, and improve Meta Ads performance using data driven audience targeting and retargeting. My PPC management approach includes PPC management strategy, PPC management optimization, PPC management reporting, PPC management scaling, and PPC management focused on long term ROI. I specialize in conversion tracking using conversion tracking setup, conversion tracking optimization, conversion tracking analysis, and conversion tracking implementation with Google Analytics 4, Google Tag Manager, Meta Pixel, and Conversion API. 📢 I manage Facebook Ads campaigns, Facebook Ads optimization, Facebook Ads retargeting, Facebook Ads lead generation, and Facebook Ads scaling for eCommerce and service based businesses. 📱 I also create Instagram Ads campaigns, Instagram Ads strategies, Instagram Ads optimization, Instagram Ads retargeting, and Instagram Ads funnels designed to increase engagement and conversions. 📊 My expertise includes Google Analytics 4 reporting, Google Analytics 4 setup, Google Analytics 4 event tracking, and Google Analytics 4 performance analysis. ⚙️ I provide Google Tag Manager setup, Google Tag Manager implementation, Google Tag Manager event tracking, and Google Tag Manager conversion tracking solutions. 🎯 Additional expertise includes Meta Pixel setup, Meta Pixel tracking, Meta Pixel optimization, lead generation campaigns, performance marketing strategy, eCommerce PPC management, audience targeting, landing page optimization, funnel optimization, and ROI focused campaign scaling. 🤝 Final Note If you need a Google Ads Expert, Meta Ads Expert, or PPC Management Specialist who can grow your business with strategic advertising, conversion tracking, and performance marketing, I am ready to help you scale profitably. 🔍 Keywords to Find Me on Upwork Google Ads Specialist | Meta Ads Expert | Google Merchant Center Consultant | Shopify Advertising Specialist | Ecommerce PPC Marketing | Digital Advertising Expert | Lead Generation Campaigns | PayPerClick Ads | Paid Digital Campaigns | Google Ads Optimization | Facebook Ads | Instagram Ads | Google Analytics Expert | Google Ads Manager | Conversion Tracking Specialist | PPC Campaign Manager | Ad Creative Design | A/B Testing | Remarketing Campaigns | Google Tag Manager | Google Ads Audit | Performance Max Campaigns | SEO & SEM | PPC Consultation | Lead Generation Expert | Ad Copywriting | ROI Optimization | Display & Search Ads | Social Media Ads | Conversion Rate Optimization

𝐈 𝐛𝐮𝐢𝐥𝐝 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐛𝐚𝐜𝐤𝐞𝐧𝐝, 𝐀𝐈, 𝐚𝐧𝐝 𝐝𝐚𝐭𝐚 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 𝐰𝐡𝐞𝐫𝐞 𝐫𝐞𝐥𝐢𝐚𝐛𝐢𝐥𝐢𝐭𝐲, 𝐬𝐜𝐚𝐥𝐞, 𝐚𝐧𝐝 𝐜𝐥𝐞𝐚𝐧 𝐚𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞 𝐦𝐚𝐭𝐭𝐞𝐫 𝐦𝐨𝐫𝐞 𝐭𝐡𝐚𝐧 𝐚 𝐝𝐞𝐦𝐨. I’m Tilek, a Senior Backend / AI / Data Platform Engineer with 15+ years of experience building SaaS products, enterprise systems, cloud infrastructure, AI applications, data pipelines, and complex integrations. My core stack includes Python, FastAPI, .NET/C#, Java, Node.js, PostgreSQL, AWS, Azure, GCP, Docker, Kubernetes, Kafka, Airflow, OpenAI API, Claude API, LangChain, LangGraph, RAG, vector databases, MLflow, and MLOps tooling. Most AI and data products fail outside the model layer. The real risks are fragmented data, weak backend architecture, unreliable integrations, missing observability, slow async workflows, poor security boundaries, untested AI behavior, and systems that become expensive to change after launch. I help teams turn AI, automation, data, and backend workflows into maintainable production products. 𝗪𝗛𝗔𝗧 𝗜 𝗕𝗨𝗜𝗟𝗗 AI and LLM systems RAG pipelines, AI agents, OpenAI / Claude integrations, LangChain, LangGraph, vector search, prompt workflows, tool calling, structured outputs, evaluation pipelines, fallback logic, and LLMOps. Backend platforms Python/FastAPI services, .NET/C# backends, Java/Spring Boot systems, Node.js APIs, PostgreSQL, SQL Server, MongoDB, Redis, microservices, REST APIs, GraphQL, OAuth/JWT, and role-based access. Data engineering systems ETL/ELT pipelines, batch and streaming data flows, Kafka, RabbitMQ, Airflow, Spark, dbt, Redshift, BigQuery, Snowflake, data validation, enrichment, reconciliation, and reporting-ready models. MLOps and AI operations Model deployment, monitoring, experiment tracking, evaluation workflows, MLflow, Kubeflow, data quality checks, inference cost optimization, rollback patterns, and production reliability. Enterprise integrations CRM systems, financial platforms, SaaS tools, legacy applications, internal tools, webhooks, third-party APIs, event-driven workflows, secure data exchange, and operational automation. 𝗦𝗘𝗟𝗘𝗖𝗧𝗘𝗗 𝗘𝗫𝗣𝗘𝗥𝗜𝗘𝗡𝗖𝗘 Enterprise AI/data infrastructure Built high-volume data pipelines, validation logic, model-output reliability layers, backend processing workflows, and data quality systems for AI and ML products. Responsible AI and model monitoring platforms Developed backend systems for model monitoring, explainability, compliance reporting, bias detection, AI governance, evaluation workflows, and enterprise ML operations. Hitachi Energy Built backend and data-processing infrastructure for enterprise energy systems, telemetry workflows, operational analytics, cloud architecture, and scalable integrations. Regulated financial systems Worked on secure APIs, backend integrations, controlled data services, workflow automation, auditability, and compliance-sensitive architecture. AI voice and agent workflows Built real-time AI voice-agent workflows with LLM orchestration, API actions, fallback logic, structured outputs, call context handling, and production debugging. 𝗛𝗢𝗪 𝗜 𝗪𝗢𝗥𝗞 I start by identifying delivery risks: data ownership, backend boundaries, integration failure modes, scaling constraints, security requirements, AI reliability, observability, and operational ownership. Then I build the smallest production-safe foundation that can grow without expensive rewrites. You get clean architecture, realistic estimates, clear communication, readable documentation, and systems that are easier to operate after launch. 𝗕𝗘𝗦𝗧 𝗙𝗜𝗧 AI startups, SaaS platforms, RAG systems, AI agents, document AI, backend modernization, Azure/AWS/GCP cloud systems, enterprise integrations, data pipelines, CRM automation, fintech, healthcare, logistics, energy, regulated workflows, and high-volume data applications. 𝗧𝗘𝗖𝗛𝗡𝗜𝗖𝗔𝗟 𝗦𝗧𝗔𝗖𝗞 Python, FastAPI, .NET, C#, Java, Spring Boot, Node.js, TypeScript, PostgreSQL, SQL Server, MongoDB, Redis, Kafka, RabbitMQ, Airflow, Spark, dbt, Snowflake, Redshift, BigQuery, Docker, Kubernetes, Terraform, AWS, Azure, GCP, OpenAI API, Claude API, LangChain, LangGraph, RAG, Vector Databases, Pinecone, FAISS, OpenSearch, MLflow, Kubeflow, REST APIs, GraphQL, Webhooks, Microservices, Event-Driven Architecture, ETL, ELT, Data Engineering, MLOps, LLMOps, AI Agents, AI Automation, Cloud Architecture, Enterprise Integrations, CI/CD. 𝐇𝐚𝐯𝐞 𝐚 𝐜𝐨𝐦𝐩𝐥𝐞𝐱 𝐀𝐈, 𝐛𝐚𝐜𝐤𝐞𝐧𝐝, 𝐨𝐫 𝐝𝐚𝐭𝐚 𝐩𝐥𝐚𝐭𝐟𝐨𝐫𝐦 𝐩𝐫𝐨𝐛𝐥𝐞𝐦? Send me the context. I’ll identify the highest-risk parts before implementation begins.

I build production-ready AI systems using OpenAI, LangChain, RAG pipelines, and AI agents. Sound with Computer Vision (CV). Recent work includes: • AI voice agents for healthcare • RAG chatbots with vector databases • AI SaaS products using Next.js + Python • Automation systems reducing manual support workload I focus on scalable, deployable AI applications not I have been building intelligent automation systems for over 8+ years. As a dedicated Full-stack and AI/ML Engineer, I have deployed production-grade solutions across E-commerce, Manufacturing, and Customer Service, helping businesses reduce costs, improve efficiency, and unlock new revenue streams. I deliver complete technical execution: from raw data transformation to LLM integration, RAG pipelines, and measurable business impact. If you are ready to build AI systems that cut support tickets by 60%, increase sales by 42%, and deliver real-time insights, send me a message or book a consultation directly from my profile. I respond immediately. ✅ 𝐊𝐄𝐘 𝐀𝐂𝐇𝐈𝐄𝐕𝐄𝐌𝐄𝐍𝐓𝐒: • Designed and implemented a recommendation engine that increased e-commerce sales by 42% in just 90 days • Deployed an AI-powered chatbot, cutting support tickets by 60% and significantly enhancing customer satisfaction • Developed a computer vision solution that reduced defect detection time in manufacturing by 70% • Transform raw data into measurable business impact and operational clarity • Connect fragmented systems and automate workflows for real-time decision-making ✅ 𝐓𝐄𝐂𝐇 𝐒𝐓𝐀𝐂𝐊 𝐀𝐍𝐃 𝐀𝐈 𝐄𝐗𝐄𝐂𝐔𝐓𝐈𝐎𝐍 I build on the high-performance tools that top AI teams rely on: • Machine Learning & Predictive Models: Classification systems, regression analysis, forecasting models with proven ROI • Deep Learning & Computer Vision: CNNs, RNNs, Transformers for defect detection, image recognition, and NLP • Generative AI & LLMs: GPT-4, Gemini, Llama, LangChain, RAG pipelines, vector databases (Pinecone, Weaviate), agentic systems • NLP & Chatbot Development: Conversational AI, intent recognition, sentiment analysis, Open AI APIs, custom fine-tuning • Production & MLOps: Model serving, monitoring, cloud deployment (AWS, Azure, GCP), real-time inference • Automation & Integration: n8n, Make, API-first development, workflow orchestration Every tool in this stack exists to serve one outcome: an intelligent system that is accurate, scalable, and ready to generate real ROI from day one. ✅𝐖𝐇𝐀𝐓 𝐒𝐄𝐓𝐒 𝐌𝐘 𝐀𝐈 𝐃𝐄𝐕𝐄𝐋𝐎𝐏𝐌𝐄𝐍𝐓 𝐀𝐏𝐀𝐑𝐓 Most developers hand you a generic chatbot or a broken script and disappear. I own the entire AI lifecycle: data preprocessing, model selection, custom logic, security review, and post-launch iteration. When your business needs to process thousands of customer queries or detect defects in real time, the architecture I build is designed to handle the load without failing. My development framework is built around three principles: Accuracy First (measurable business impact), Full Stack AI Ownership (from raw data to production API), and Business Alignment (I measure success by your cost reduction, conversion rates, and system uptime). ‼️𝐇𝐈𝐑𝐄 𝐌𝐄 𝐈𝐅 𝐘𝐎𝐔 𝐍𝐄𝐄𝐃‼️ 1. An AI Engineer who delivers production-ready models with enterprise-grade reliability 2. An LLM/RAG specialist who connects custom data sources to generative AI for context-aware responses 3. An Agentic System Architect who builds autonomous workflows that reduce manual processes 4. A Chatbot Developer who cuts support costs and improves customer satisfaction 5. A Technical Partner who acts as your "AI Right-Hand," communicates daily, and ships on schedule 𝐖𝐡𝐚𝐭 𝐦𝐲 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 𝐢𝐧𝐜𝐥𝐮𝐝𝐞: 𝐂𝐮𝐬𝐭𝐨𝐦 𝐀𝐈 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 & 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲: High-accuracy, optimized models with 100% data privacy, modular architecture, and pre-deployment validation on every engagement. 𝐋𝐋𝐌 & 𝐑𝐀𝐆 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬: Integration of enterprise data into GPT/Claude/Gemini pipelines, automated document retrieval, and context-aware agents to give your business a competitive edge. 𝐏𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞-𝐃𝐫𝐢𝐯𝐞𝐧 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧: Real-time model serving connected to your existing workflows, ensuring your team never waits for insights or manual ticket resolution. I combine advanced AI capabilities with practical business solutions to build systems that create measurable impact. Each project is delivered with comprehensive testing, monitoring, and documentation to ensure scalable, maintainable solutions that provide long-term value. If you're looking to transform your operations with AI that actually delivers results, let's discuss your goals and the challenges you want to solve.

At Apiko, we’ve been building digital products for over 10 years and delivered 60+ projects. What we’ve learned is simple: success comes from creating products people actually use and love. We never deliver something that doesn’t bring real value. We start with a proper discovery stage to understand your goals, challenges, and vision. This ensures your product is ready before we write a single line of code. To help even more, we offer free add-ons like workshops with our Business Analyst, concept design previews, and app review audits. Using technologies like React, React Native, Node.js, and GraphQL, we offer: • Software development from idea to maintenance • Dedicated engineering teams • MVP development • UX/UI design • Quality assurance and testing We also provide advanced AI solutions, including GPT and chatbot development. And once your product is live, we don’t just disappear—we stick around with maintenance and support to keep it growing and performing at its best.

💼 About Me I use results-driven SEO methods to help businesses grow organic traffic, improve search visibility, and produce qualified leads. With 15+ years of SEO experience, I have worked with eCommerce brands, SaaS companies, healthcare businesses, local service providers, and B2B organizations across competitive markets. Proven Results ✔ Increased organic traffic by 281% for a consulting business ✔ Achieved Page 1 rankings for competitive eCommerce keywords ✔ Grew organic sessions by 122% for a seed company ✔ Improved rankings, leads, and conversions for SaaS, healthcare, and B2B websites ✔ Managed SEO campaigns for Shopify, WordPress, and WooCommerce stores AI SEO & GEO Expertise ✔ Optimizing websites for Google AI Overviews ✔ Improving visibility in ChatGPT, Gemini & Perplexity ✔ AI-powered content strategy and planning ✔ Answer Engine Optimization (AEO) ✔ Generative Engine Optimization (GEO) ✔ AI search visibility and brand mentions My Expert Strategy I Will Bring ✔ Comprehensive SEO audits and growth roadmaps ✔ Technical SEO and Core Web Vitals optimization ✔ Advanced keyword research and competitor analysis ✔ Content strategy aligned with Google AI Overviews and modern search trends ✔ On-page SEO optimization for higher rankings and conversions ✔ Authority building through quality link acquisition and digital PR ✔ Local SEO and Google Business Profile optimization ✔ International and multilingual SEO campaigns ✔ AI SEO, AEO, and GEO optimization for generative search platforms Tools & Platforms ✔ Ahrefs ✔ SEMrush ✔ Screaming Frog ✔ Google Search Console ✔ Google Analytics 4 (GA4) ✔ Looker Studio ✔ Google Tag Manager ✔ Shopify ✔ WordPress ✔ WooCommerce Why Clients Work With Me ✔ ROI-focused SEO execution ✔ Transparent communication and reporting ✔ Strong technical and strategic expertise ✔ Deep understanding of AI-driven search evolution ✔ Long-term organic growth strategies built for scalability Whether you need technical SEO, eCommerce SEO, AI SEO, local SEO, or a complete organic growth strategy, I focus on delivering measurable business results, not just rankings. Send me a message to discuss your project and growth plan. 🕒 Last updated: 10 Jun 2026

Top Rated Plus | 100% Job Success | 50+ AI projects delivered I build production ready AI agents, RAG pipelines and workflow automations that real businesses use daily, not demos or prototypes. My core stack is the Anthropic Claude API and OpenAI API, orchestrated with LangChain and LangGraph, on a Python/FastAPI backend, with n8n or Makecom handling workflow automation. WHAT I BUILD RAG knowledge assistants: document ingestion, chunking, embeddings, and semantic search over PDFs, Notion, Google Drive, and SQL data using Pinecone, pgvector, Qdrant, or ChromaDB with grounded, cited answers and guardrails against hallucination AI agents with tool use: multi step function calling, structured JSON outputs (Pydantic schema enforcement) and human-in-the-loop approval before anything reaches a customer Workflow automation: email triage and AI drafted replies (Gmail/Outlook), lead qualification and CRM updates (HubSpot, GoHighLevel, Airtable), appointment booking (Calendly, Google Calendar), all wired through n8n, webhooks, and REST APIs with proper error handling and retries Customer support chatbots on WhatsApp Business API, Telegram, and web (React/Next.js chat UI), with conversation memory and clean escalation to human agents Voice AI agents for inbound and outbound calls using Vapi, Retell AI, Twilio and ElevenLabs Claude Code and MCP server integrations for agentic developer workflows RECENT WORK Legal AI assistant that answers questions from a private document base and summarizes contracts, with source citations on every answer WhatsApp support and booking bot for a services business, integrated with their calendar and CRM Email automation pipeline that classifies incoming mail, drafts replies with Claude for team review (no auto-send) and logs everything to the CRM RAG powered search and analytics features embedded into an existing SaaS product HOW I WORK Every build ships with clean, documented code that a non technical owner or the next developer can maintain, no dependencies on my personal accounts, full handoff of credentials and source. I scope first, deliver a working prototype fast, then harden it for production with testing, logging, and error handling. Clear async communication throughout and I'm available for a retainer after delivery for fixes and improvements. Tech stack: Python, FastAPI, PostgreSQL + pgvector, Redis, Docker, Supabase, Node.js, React, Next.js, TypeScript | Claude API, OpenAI API, Gemini, Ollama (self-hosted) | LangChain, LangGraph, CrewAI | n8n, Makecom, Zapier | Pinecone, Qdrant, ChromaDB Message me with a short description of what you're trying to automate or build, and I'll tell you honestly whether it's a fit and how I'd approach it.

I specialize in delivering robust, scalable, and business-focused digital solutions that address real operational and technical challenges. With over 12 years of professional experience in software development, more than 6 years of hands-on expertise in Odoo ERP, and recent practical experience implementing AI-assisted automation and LLM integrations in business workflows, I have worked with startups, agencies, and international organizations to design, develop, and implement production-ready platforms. My experience includes mobile applications, custom web solutions, eCommerce systems, tailored Odoo implementations, and AI-enabled process automation. I possess a comprehensive understanding of the full development lifecycle, covering front-end interfaces, back-end architecture, workflow automation, API integrations, and the integration of modern AI services into existing systems. My primary focus is on transforming business requirements into reliable, efficient, and user-centric software solutions that deliver measurable value. Areas of Expertise: - Mobile application design and development (Android, iOS, React Native) - Custom web platform development using Laravel, CodeIgniter, Node.js, and PHP - WordPress and Shopify development and customization - Odoo ERP development: system setup, workflow configuration, and module customization - UI/UX design using Figma and Webflow Business process automation and AI integrations, including ChatGPT/OpenAI APIs, prompt-driven workflows, AI-assisted content operations, lead-routing automation, and custom integrations with third-party services I approach every engagement with a commitment to quality, clarity, and long-term success, focusing not merely on task completion but on building solutions that support sustainable business growth. Why Choose to Work With Me: Reliable and Responsive: Consistent communication, timely updates, and proactive problem-solving Results-Oriented: Solutions designed to align directly with business objectives End-to-End Capability: Full lifecycle delivery, from concept and design through development and deployment Practical AI Adoption: Focus on AI features that improve workflows, reduce manual effort, and integrate cleanly with existing business systems rather than adding unnecessary complexity Availability: I am available for new engagements and long-term collaborations, offering flexibility across time zones and project structures. I look forward to the opportunity to collaborate and deliver solutions that are thoughtfully designed, technically sound, and purpose-driven.

Senior UI/UX Designer with 10 years of Experience 🌟 Google-Certified UX Designer | Upwork-Certified UI Designer 🌟 Trusted by an $8,000,000 AI Startup 🌟 Expert in SaaS UI/UX, AI-Based Platforms & App Design 💬 What My Clients Say: "Dmitriy did a great job working with us to build our platform to a fantastic baseline. He was engaged, asked the right questions to understand requirements, and made suggestions to deliver a great product." 🙌 What I Excel At: ✅ Senior UI/UX Designer for SaaS Platforms – Designing scalable, user-friendly SaaS solutions that drive growth. ✅ Expert UI/UX Designer for AI-Based Applications – Creating intuitive, engaging AI-driven interfaces for startups and enterprises. ✅ Innovative UI/UX for Startups & Apps – Helping startups craft seamless, high-converting user experiences from scratch. 🎯 From Concept to Execution: I specialize in transforming raw ideas into polished, high-performing digital experiences. Using wireframing, interactive prototyping, user flows, UI research, and design systems, I ensure your digital products are both functional and visually appealing. 👨🏻‍💻 Why Work With Me? ✔ 8+ Years of Expertise as a Senior UI/UX Designer ✔ Certified UI Designer (Google) & Certified UI Designer (Upwork) ✔ Extensive Experience in AI, SaaS, CRM, and Mobile App UI/UX Design ✔ Proven Track Record in UI Research, Wireframing, and Prototyping 💡 What I Create: 🚀 AI-Based Platforms & Applications 📊 SaaS UI/UX Design for Startups & Enterprises 🖥 Corporate Websites & High-Converting Landing Pages 📉 CRM Systems, Dashboards & Data Visualization 📱 iOS & Android Mobile App UI/UX Design 🎨 3D UI Elements for Websites & Apps ❇️ Toolset: 🎯 Figma | Blender | Adobe Photoshop ⛰️ Ready to elevate your UI/UX design? Let’s collaborate to create innovative, user-friendly digital experiences that captivate users and drive real results. Reach out today to discuss your project and turn your vision into reality!

Most teams hire a data engineer to build the pipelines, then a separate AI engineer to build on top of them, and lose weeks in the handoff. I do both. I'm Hammad Saleem, with 9+ years architecting cloud data infrastructure and 5+ years building the production AI systems that run on it. The data foundation (Snowflake, Databricks, Redshift, BigQuery, Airflow, multi-cloud ETL/ELT) and the AI layer (RAG, multi-agent orchestration, fine-tuned LLMs, vector search) come from one owner, architecture through deployment. That overlap of data engineering, cloud/MLOps, and LLM/agent specialization in one person is exactly what most profiles only cover half of. A few systems I've shipped recently: - A multi-agent inventory-intelligence platform for 9 automotive clients (including JLR, Penske, Holman): 5 specialized agents handling self-correcting SQL generation against Redshift, Looker integration, and reporting across 128K to 10M token contexts. - A pharma marketing AI serving 11 brands: fine-tuned request routing, multi-modal asset generation, and per-client vector stores for brand-compliant, citation-backed retrieval with HCP/DTC segmentation. - An enterprise multimodal AI platform on Llama 3.1 8B with custom LoRA fine-tuning (85.6% accuracy) and a RAG system over 480+ documents returning 3 to 4x more relevant results than baseline search. The data foundation under that work runs just as deep: pipelines processing ~3B rows/day at a national telecom, a 45% AWS cost reduction through rightsizing and storage tiering, an 80% cut in pipeline processing time, and multi-cloud financial reconciliation across Salesforce, SAP, and ad platforms that removed 70% of manual effort. Where I fit best: - Teams with messy or scattered data that needs to become a reliable foundation for analytics and AI. - Companies past the prototype stage that need an AI system to actually hold up in production: observability, retries, cost control, evaluation. - Founders and CTOs who want one engineer accountable from data ingestion through the deployed AI feature, including the full-stack/API layer that exposes it to users. How I work: I scope to outcomes, design for cost and scale before writing code, instrument everything (Opik, CloudWatch), and leave you with systems your team can run without me. I'm equally comfortable owning architecture solo or embedding with an existing team. Core stack: Python, SQL · AWS (Lambda, ECS/EKS, Redshift, S3, Step Functions) · GCP (BigQuery, Pub/Sub) · Snowflake · Databricks · Airflow, Prefect · OpenAI, Anthropic Claude, Gemini, Llama · LangChain, LlamaIndex, multi-agent orchestration, RAG, vector databases · Docker, Terraform, CI/CD. Certifications: Microsoft Azure AI Fundamentals · Microsoft Azure Data Fundamentals · IBM Machine Learning with Python · IBM Data Analysis with Python. If you're building data infrastructure, an AI product, or both, and you'd rather have one senior owner than stitch together two, send me a note with what you're trying to ship. I'll tell you honestly how I'd approach it and whether I'm the right fit.