I help ecommerce brands, SaaS companies, agencies, and performance marketing teams fix tracking, attribution, funnels, and technical growth systems. If your Meta Ads, Google Ads, GA4, CAPI, Shopify/WooCommerce, CRM, or backend data does not match reality — I help find the problem and fix it. My background combines technical architecture, performance marketing, analytics, and growth operations. I was previously CTO at Aiminity and I’m also the co-founder of Qliker, a click tracking and bot detection platform used by 300+ paying users. I work best with teams that already have traffic, campaigns, funnels, or software in place — but need better tracking, cleaner data, higher conversion rates, or more reliable systems. What I can help with: * Meta Pixel + Conversions API setup and debugging * Google Ads conversion tracking and offline conversions * GA4 / GTM tracking audits and implementation * Shopify / WooCommerce tracking and CRO * Server-side tracking and event deduplication * CRM-to-ad-platform tracking flows * Lead tracking, booking tracking, and attribution * Funnel audits and conversion optimization * Meta / Google Ads performance analysis * Custom dashboards and analytics systems * Laravel / PostgreSQL / Redis / ClickHouse backend systems * API integrations, webhooks, postbacks, and automation Common problems I solve: * Ads Manager under-reports conversions * Pixel and CAPI events are duplicated or mismatched * Purchase, lead, or booking events do not fire correctly * GA4 does not match backend sales or leads * Shopify/WooCommerce tracking is incomplete * CRM leads are not attributed to the right traffic source * Google Ads offline conversions are not importing correctly * Meta Event Match Quality is weak * ROAS dropped after a site, funnel, or tracking change * Developers installed tags, but the data still makes no sense Selected results and experience: * Helped improve ROAS from around 0.6 to 4+ for a DTC ecommerce brand by improving tracking, funnel flow, ad angles, and testing process * Co-founded Qliker and scaled it to 300+ paying users in a competitive tracking niche * Co-founded FirePixel, a server-side tracking SaaS for Meta, Google, and TikTok events * Built analytics and tracking systems for ecommerce, SaaS, affiliate, and lead generation businesses * Built custom event pipelines, dashboards, affiliate postbacks, and conversion tracking systems using Laravel, PostgreSQL, Redis, ClickHouse, APIs, and webhooks My working style is practical and direct. I do not just “install tags” or send generic audit reports. I look at the full journey: ad click → landing page → pixel/GTM → form/cart/checkout → CRM/backend → CAPI/offline conversion → reporting → optimization Then I identify what is missing, duplicated, misfiring, or misattributed. I can work as: * a technical tracking specialist * a CRO/funnel consultant * a Meta/Google Ads performance analyst * a Shopify/WooCommerce tracking expert * a backend/API integration consultant * a fractional technical growth operator I’m especially useful when marketing, development, and data overlap — because that is where most tracking and performance problems actually happen. If you need someone who can understand both the marketing side and the technical side, I can help.

Hello, Thank you for checking out my profile, I'm an independent freelancer working in software dev for more than a decade now. Below is a quick overview of my core strengths as a solution developer and technical architect. Technical Overview: • Coded expense manager, flight data service, Battleship games, Bidding system, weather monitoring service, etc for multiple users. • The expert mode in REST API's development using Spring Boot 3/Spring Cloud Streams, Spring Security, and Spring Gateway along with microservice architecture. • In Databases, for RDBMS (Postgres, Mysql, Clickhouse), NoSQL (AWS Dynamo, MongoDB, Redis), and Elastic Search. • Extensively worked in AWS techs like SQS, SNS, Fargate (ECS), and MSK (Kafka). • Dockerized microservices and created CI CD pipeline for service deployment . • Have designed multiple complex systems from zero to full-fledged deployment in production. • A problem solver for any complex system with minimal guidance. You can count on me. How can I help you: • Have worked in multiple domains like banking, financial, telecom, gaming, travel, supply chain, etc so can help with any type of project. • Designed complex architecture in the past so can help in technical architecture space for pros and trade-offs of the current system. • Consult for any software development that needs data management or a high level of concurrency or even if you are stuck at an unknown place during development. Thanks. Looking forward to working with you. On Upwork have worked on Google API, AWS, Websocket, Otel, MongoDB, Postgres and Elastic search.

I build production-ready AI + RevOps systems around Salesforce/HubSpot— orchestration, fine-tuning, MCP/semantic layers, RAG, and custom apps—so your sales & marketing teams ship faster and close more. 15 years in GTM systems; expert-vetted; 100% JSS; enterprise-grade delivery. What I Do AI Orchestration & Agents: Workflow design, tool use, evaluation, guardrails. Model Work: Prompt libraries, fine-tuning, preference optimization, evals. MCP & Semantic Layer: Domain schemas, tool servers, retrieval interfaces. RAG over GTM Data: Vectorizing Salesforce/HubSpot, docs, tickets, logs. Custom Apps & Integrations: Node/TS, React, FastAPI; SFDC/HubSpot apps; data pipelines. Signature Offers (fixed-scope starters) RAG QuickStart (2–3 weeks) – Ingest SFDC/HubSpot + docs → eval’d RAG with dashboards and red-team tests. MCP + Semantic Layer Blueprint (10 days) – Define tools, schemas, safety, and a reference MCP server. RevOps AI Tune-Up (2 weeks) – Lead/opp hygiene, scoring, routing, SDR copilot prompts + analytics. Salesforce/HubSpot AI Add-Ons – Case summarization, auto-notes, email drafting, knowledge search. Fine-Tune Sprint – Data curation, SFT or adapter-based finetune, eval harness, rollback plan. Recent Wins (abridged) Sales SDR Copilot: triage + drafting on HubSpot → 35% faster replies, 12% lift in meeting creation. SFDC Knowledge RAG: MCP tools + policy guardrails → deflection up 18%, CSAT +0.4. Quote Assist: approvals + terms via LLM tools → cycle time −27%, fewer reworks. GenAI Data Layer: semantic layer on CRM + docs → GTM analytics in minutes, not days. Tech & Stack LLMs/AI: OpenAI, Anthropic, HF; RAG Semantic/MCP: Model Context Protocol, tool servers, function/tool calling Data: Postgres, ClickHouse, Redis, dbt, Snowflake, SQL, etc. Apps/Infra: Node/TS, React, Docker, GCP/AWS/Azure, any and all APIs CRM: Salesforce (Admin, App Builder, Sales/Service Cloud), HubSpot (RevOps/Automation) CRM App Dev: Custom and marketplace apps for Salesforce and HubSpot Who I’m Best For B2B SaaS, GTM-heavy orgs, public sector/regulated, field ops—teams with Salesforce/HubSpot that want measurable, production AI (not demos). How We Work Consultation (60–90 min): Objectives → success metrics → data/readiness check. Design Sprint: Architecture, safety/guardrails, eval plan. Pilot: Ship something that moves a KPI; then scale. Credentials / Certifications: MBA (Operations). Salesforce Data Architect, Admin, App Builder, Sales/Service Cloud. HubSpot Certified. (Full list on request.) Message me with: your CRM (SFDC/HubSpot), the GTM KPI to move, and target timeline. I’ll suggest a 2-week pilot that proves value fast.

I build production-grade distributed systems, event-driven platforms, AI-enabled applications, and backend infrastructure that can scale beyond the prototype stage. With 13+ years of software engineering experience, my background spans high-volume messaging platforms, asynchronous architectures, SaaS communication systems, backend APIs, observability, reliability engineering, and modern AI application development. Most AI projects fail not because of the model, but because of poor system architecture, weak operational design, and fragile integrations. My focus is building AI-enabled systems that remain maintainable, observable, and reliable in production. 🚀 WHAT I BUILD ### Distributed Systems & Backend Platforms I design and build backend services that handle asynchronous workloads, messaging pipelines, API integrations, retries, idempotency, observability, and operational scalability. Examples include: • Event-driven architectures using Kafka and queue-based processing • High-throughput messaging and communication platforms • Microservices and API ecosystems • Reliability and observability improvements • Backend modernization and platform evolution initiatives --- ### RAG (Retrieval-Augmented Generation) Systems I build retrieval systems that combine vector search, document retrieval, orchestration logic, and LLM generation. Recent work includes OmniRAG, an open-source RAG platform built in Go featuring: • ChromaDB, Qdrant, Pinecone, and MongoDB backends • Claude and Ollama integration • Retrieval orchestration and routing • PDF ingestion pipelines • Streaming retrieval workflows • Vector database evaluation and benchmarking --- ### Agentic AI & MCP Systems I build agent-based systems that can discover tools, execute workflows, and interact with external systems. Recent work includes: • MCP-powered agents • ReAct-style agent architectures • Tool discovery and execution frameworks • Document search and retrieval agents • Database-integrated agent workflows • Claude and Ollama powered agent systems --- ### AI-Native Engineering Workflows I actively use AI-assisted engineering workflows for: • Architecture design • Development acceleration • Code reviews • Migration planning • Debugging and root-cause analysis • Operational investigations • Documentation generation My focus is practical engineering productivity rather than AI hype. --- 🛠 TECHNOLOGIES Languages: • Golang • NodeJS • PHP Backend & Infrastructure: • Kafka • Redis • MongoDB • ClickHouse • Kubernetes • Docker • REST APIs • Microservices AI & Retrieval: • Claude Anthropic | Codex | Antigravity • Ollama • MCP • RAG • ChromaDB • Qdrant • Pinecone • Chunking | Embeddings • Agent Architectures Observability & Operations: • Datadog • Grafana • Logging • Metrics • Distributed Tracing • Reliability Engineering --- 💡 WHY CLIENTS WORK WITH ME You're not hiring a prompt engineer. You're hiring an engineer who understands how production systems behave under load, how distributed systems fail, how to build reliable backend architectures, and how to integrate modern AI capabilities into real applications. Whether you're building a scalable backend platform, a RAG application, an agent workflow, or an AI-enabled product, I can help design, build, and operationalize it with a strong engineering foundation.

👋 Hi! I'm a full-stack engineer and tech lead with over 15 years of experience building scalable, reliable, and business-focused software systems. My expertise spans Node.js, PHP, React, and DevOps, with a strong focus on architecture, system design, and full-cycle product development. I’ve worked in both startup and enterprise environments, delivering results across fintech, e-commerce, SaaS, and infrastructure-heavy domains. 🧠 Core Competencies Languages & Frameworks: JavaScript / TypeScript / PHP / Go / Python Node.js, NestJS, React, Vue, Angular, Symfony, Laravel, Yii Flutter, Unity3D Infrastructure & DevOps: Docker, Kubernetes, CI/CD, Vault AWS (EKS, EC2, S3), Microservices, DDD Redis, RabbitMQ, Kafka, ClickHouse REST, GraphQL, RPC Practices: - Domain-Driven Design - Scalable Microservices - Event-driven Architecture - Secure Authentication and Payments - Cloud-native & Distributed Systems - Team Leadership & Mentoring 🚀 Project Experience 💰 Fintech & Payment Platforms Lead backend and architecture efforts for complex financial ecosystems supporting multi-provider payment flows, including fallback and cascading logic. Ensured compliance, fault tolerance, and high availability. 🏦 Lending & Investment Solutions Developed platforms that automate investment processing, schedule repayments, and manage a secondary credit market. Delivered end-to-end integrations for identity verification, financial reporting, and contract management. 🛒 E-commerce & Retail Tools Created tools that improve customer experience in online retail, including an AI-powered virtual fitting room with real-time 3D simulation. Managed web and mobile versions in cross-platform environments. 🗳️ Community & Communication Platforms Designed systems for secure collaboration within communities and organizations, enabling features such as voting, project proposals, group messaging, and utility service integrations. Built real-time and mobile-friendly solutions. 💬 Customer Engagement & Messaging Worked on a marketing automation system enabling multi-channel communication, behavioral segmentation, and real-time analytics. Scaled data pipelines and ensured delivery speed and accuracy. 🔐 Authentication & CRM Systems Implemented identity federation and OAuth flows with major providers. Built internal CRM platforms for call centers and real-time chat systems supporting large numbers of concurrent users. 📱 Mobile App Distribution Platforms Engineered a backend for a digital marketplace focused on mobile app distribution, monetization, and analytics. Supported custom billing, tracking, and content delivery pipelines. 🎯 What I Bring ✅ Deep technical expertise and passion for software design ✅ Track record of delivering scalable, resilient, and maintainable systems ✅ Leadership in both greenfield and legacy transformation projects ✅ Strong communication and mentorship skills ✅ Product-oriented mindset with focus on value delivery 📬 Let’s Connect! I'm open to new opportunities in backend, architecture, or cross-functional tech leadership. Whether you're building a fintech platform, a real-time app, or a complex SaaS product — I’m ready to help scale your vision.

Platform & DevOps engineer with 10+ years building infrastructure that ships faster, costs less, and stays up. I help startups and scale-ups across fintech, e-commerce, and SaaS design and operate cloud-native platforms on AWS and GCP. My work spans the full stack of modern infrastructure: Kubernetes cluster design and hardening, GitOps pipelines with GitHub Actions and ArgoCD, Terraform modules for repeatable multi-environment deployments, and observability stacks using Prometheus, Grafana, Datadog, and ELK. Beyond standard DevOps, I bring AI-Ops capabilities that give teams a real edge. I deploy and manage self-hosted large language models using Ollama and Open-WebUI, keeping sensitive data on-premises and fully GDPR-compliant. I build intelligent automation workflows with n8n that replace manual handoffs with event-driven pipelines — from infrastructure events to automated actions without human intervention. Security is built in, not bolted on. I implement DevSecOps controls including WAF, AWS GuardDuty, IAM least-privilege, secrets management, and compliance automation. This matters especially for European clients operating under GDPR. Currently at Thoughtworks as an Infrastructure Consultant, I partner with engineering teams to define platform strategy, reduce cloud costs, and accelerate delivery cycles. 100% Job Success across 19 contracts. Top Rated on Upwork. If you need someone to architect your cloud platform, migrate workloads, build production-grade CI/CD, or introduce AI-powered automation into your workflows — let's connect.

🌟 Full Stack AI Engineer | End-to-End Intelligent Systems Architect | Production ML/LLM Specialist Transforming unstructured data into enterprise-grade AI solutions. I architect, build, and deploy production-ready AI systems across the complete ML pipeline: from data engineering and model optimization to MLOps infrastructure and full-stack deployment. Specializing in document intelligence automation, retrieval-augmented generation (RAG), and multimodal LLM applications. CORE EXPERTISE: 🔹 End-to-End Document Intelligence & Automation → Advanced OCR with transformer-based models (TrOCR, PaddleOCR, Azure Vision API) → Intelligent PDF extraction using vision transformers and semantic segmentation → Layout-aware document parsing with graph neural networks (GNNs) and attention mechanisms → Batch processing pipelines with asynchronous job orchestration and fault tolerance → Handwriting recognition and synthetic data augmentation for improved generalization 🔹 Large Language Models & Retrieval-Augmented Generation (RAG) → Production RAG systems with dense vector retrieval and semantic reranking → Fine-tuning LLMs (LoRA, QLoRA, full fine-tuning) for domain-specific tasks → Multi-modal LLM applications integrating vision-language models (CLIP, LLaVA, GPT-4V) → Prompt engineering and chain-of-thought reasoning for complex reasoning tasks → Vector database optimisation (FAISS, Qdrant, Pinecone, Milvus) with approximate nearest neighbor search → Context window optimisation and token-efficient inference techniques 🔹 Full-Stack Backend Architecture & API Development → RESTful API design with FastAPI, async patterns, and performance optimization → Microservices architecture with containerization (Docker, Kubernetes) → Authentication, authorization, and security hardening (OAuth2, JWT, encryption) → Database design: relational (PostgreSQL), NoSQL (MongoDB), vector DBs, graph DBs → Real-time data streaming and event-driven architectures (Apache Kafka, Redis) → API gateway patterns, rate limiting, and traffic management 🔹 Machine Learning Operations & Production Systems → ML pipeline orchestration (Airflow, Prefect) with data lineage tracking → Model registry and versioning (MLflow, Weights & Biases, DVC) → A/B testing frameworks and experiment management → Continuous integration/continuous deployment (CI/CD) for ML models → Model monitoring, drift detection, and automated retraining pipelines → Feature engineering, feature stores, and data quality management 🔹 Advanced Deep Learning & Computer Vision → Object detection (YOLO, Faster R-CNN, EfficientDet) with real-time inference optimization → Semantic segmentation and instance segmentation (Mask R-CNN, DeepLabV3) → Image classification with transfer learning and domain adaptation techniques → Real-time video analytics pipelines (NVIDIA DeepStream, OpenCV) → Model compression: quantization, pruning, knowledge distillation for edge deployment → TensorRT optimization for GPU inference acceleration (40%+ speed improvements) 🔹 Generative AI & Creative Workflows → Diffusion models and latent diffusion implementation (Stable Diffusion, SDXL) → Workflow automation (ComfyUI) for image generation and video synthesis → Text-to-image and image-to-image generation with fine-tuned models → Multimodal generation pipelines and conditional image synthesis 🔹 Cloud Infrastructure & Deployment → AWS (EC2, S3, Lambda, SageMaker, RDS), Azure (Blob Storage, Cognitive Services), GCP → Serverless deployments (AWS Lambda, Azure Functions, RunPod Serverless) → GPU cluster management and distributed training (PyTorch DDP, NVIDIA NCCL) → Infrastructure as Code (Terraform, CloudFormation) and GitOps workflows RESULTS & IMPACT: ✅ Production Deployments: 10+ enterprise AI systems deployed to production ✅ Performance Optimization: 40%+ cost reduction through TensorRT quantization and inference optimization ✅ Accuracy Metrics: 99%+ precision on OCR tasks through transformer-based architectures ✅ Scalability: Architected systems processing 100k+ documents monthly ✅ Time Savings: Clients report 80%+ reduction in manual data entry workflows ✅ MLOps Excellence: Zero-downtime deployments with automated monitoring and alerting TECH STACK (Production-Grade): AI/ML Frameworks: PyTorch, TensorFlow, JAX, HuggingFace Transformers, LangChain, LlamaIndex NLP: Sentence-Transformers, spaCy, NLTK, Prompt Engineering, LLM fine-tuning (LoRA/QLoRA) Vision: OpenCV, Pillow, torchvision, YOLO, Faster R-CNN, SAM (Segment Anything Model) OCR: Tesseract, EasyOCR, PaddleOCR, TrOCR, Azure Vision, Google Vision API Vector DBs: FAISS, Qdrant, Pinecone, Milvus, Weaviate, ChromaDB Backend: FastAPI, Flask, Django, async/await patterns, WebSockets Databases: PostgreSQL, MongoDB, Redis, ClickHouse, graph DBs (Neo4j) MLOps: MLflow, Airflow, Prefect, DVC, Weights & Biases, GitHub Actions Deployment: Docker, Kubernetes, AWS, Azure, GCP, RunPod, Railway, Render Generative AI: ComfyUI, Stable Diffusion, ControlNet, CLIP, DALL-E

✅ 🔻TOP-RATED🔻 Upwork Freelancer ✅ Linux Expert | Database Specialist | Backend Developer ✅ 6+ Years of Professional Experience Greetings! As a versatile professional, I specialize in three key domains: Linux expertise, database mastery, and proficient backend development. With over 6 years of hands-on experience, I bring a wealth of knowledge to the table, ensuring that your projects are in capable hands. Linux Expertise: Navigating the Linux environment is second nature to me. From system administration to intricate configurations, I am well-versed in harnessing the power of Linux to optimize performance and drive efficiency. Database Specialist: My database prowess encompasses a wide spectrum of systems, including MS SQL Server (2000 - 2019), Azure SQL, MySQL, Amazon RDS, and MariaDB. Additionally, I am skilled in PostgreSQL, Oracle, ClickHouse, DynamoDB, SQLite, and Redis. I specialize in designing, programming, and seamlessly implementing databases, tailored to meet your unique requirements. Backend Development Skills: Beyond databases and Linux, I'm a seasoned backend developer proficient in C#, Python, Bash, and PowerShell. This expertise allows me to create robust, high-performing backend solutions that align seamlessly with your project goals. Having successfully completed 50+ B2B and B2C projects across diverse industries, ranging from FinTech Applications to ERP Systems and E-Commerce Platforms, I possess the acumen to drive your project's success. Let's collaborate to transform your vision into reality. I'm eager to contribute my skills and knowledge to your projects, ensuring exceptional outcomes and a collaborative experience throughout. #DatabaseExpert #LinuxGuru #BackendDeveloper #SQLSpecialist #DatabaseDesign #LinuxAdministration #BackendProgramming #SQLPerformance #DatabaseOptimization #LinuxConfigurations #BackendSolutions #SQLQuerying #DatabaseManagement #LinuxProficiency #BackendScripting #NoSQL #LinuxEnvironment #RESTAPIs #DatabaseImplementation #LinuxCommands #BackendIntegration #SQLTuning #LinuxNetworking #BackendFrameworks #DataModeling #LinuxSecurity #LinuxShellScripting #DatabaseAdministration #SQLReporting #DatabaseProgramming #LinuxPerformance #BackendArchitecture #CSharp #.NET

Senior full-stack developer with 7+ years specializing in React, Vue.js, Laravel, Symfony and Nest.js. I take features from idea to production, with a track record building scalable, multi-tenant business systems. I have currently contributed to build a network security platform (micro-frontend, micro-services for backend) using React, Nest.js, Go, PostgreSQL, MongoDB, ClickHouse, Airflow, Neo4j. Also, I have personally design and develop a multi-tenant AI document Q&A platform (FastAPI, Vue, AWS). Earlier, I architected multi-tenant healthcare systems including a Radiology Information System with PACS integration. My core stack are PHP (Laravel), JS/TS (Nest.js, React, Vue), MySQL, PostgreSQL, MongoDB, Docker, CI/CD. Also working in Go and Python. I am a Certified Vue.js Developer and a Pinia Master. I design for scale and maintainability, and communicate clearly at every step. Let's talk about your project.

I am a Senior Full-Stack Developer with 12+ years of experience building scalable web applications, SaaS platforms, ecommerce systems, Shopify apps, APIs, admin panels, and analytics dashboards. I help businesses build reliable, secure, and high-performance web applications from idea to production. I can work on both frontend and backend, handle database design, integrate third-party APIs, optimize performance, fix production issues, and deploy applications on cloud servers. My core technical skills include: Backend: PHP, Laravel, CodeIgniter, Symfony, Node.js, Express.js, REST APIs, API integrations, authentication, payment gateways, webhooks, and backend architecture. Frontend: React.js, Vue.js, Angular, JavaScript, TypeScript, HTML, CSS, Bootstrap, Tailwind CSS, Ant Design, responsive UI development, and dashboard interfaces. Databases: MySQL, PostgreSQL, MongoDB, Redis, TimescaleDB, ClickHouse, database design, query optimization, data migration, and reporting systems. Cloud & DevOps: AWS EC2, S3, CloudFront, SQS, Docker, PM2, Nginx, Git, GitHub, CI/CD basics, server setup, deployment, and production debugging. Shopify & Ecommerce: Shopify app development, Shopify APIs, OAuth, webhooks, Shopify analytics, custom ecommerce features, product/order/customer integrations, and frontend tracking. I have worked on complex systems involving: - SaaS platforms - Shopify apps - Analytics dashboards - Admin panels - CRM systems - REST APIs - Data-heavy reporting systems - Ecommerce platforms - Third-party integrations - Performance optimization - Database migrations - Cloud deployments What I can help you with: - Build a full-stack web application from scratch - Develop or improve Laravel / PHP applications - Build Node.js / Express APIs - Create React, Vue, or Angular frontend interfaces - Develop Shopify apps and integrations - Build dashboards and reporting systems - Fix bugs in existing applications - Optimize slow APIs and database queries - Migrate data between MongoDB, MySQL, and PostgreSQL - Set up Docker, AWS, and production servers - Integrate payment gateways, CRMs, shipping APIs, and third-party services - Improve application performance, security, and scalability Why clients work with me: I focus on understanding the business problem first, then building the right technical solution. I write clean, maintainable code and communicate clearly throughout the project. I am comfortable working independently or with a team, and I can take ownership of a feature from requirement gathering to deployment. I believe in long-term, reliable solutions rather than quick temporary fixes. My goal is to help clients build software that works smoothly, scales properly, and is easy to maintain. If you need a dependable full-stack developer who can build, fix, improve, or scale your web application, I would be happy to help.