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I fix broken GA4, GTM, Google Ads & Meta tracking — with or without server-side tagging. If your GA4, Google Ads, or Meta tracking is missing conversions, firing inconsistently, or showing unreliable numbers — I fix that. I help agencies and businesses stabilize, modernize, and scale their entire analytics setup, whether they prefer traditional web-based GTM or want to upgrade to server-side tagging (sGTM) for better accuracy and privacy resilience. What I Help You With • GA4 event setup, audits & debugging • Fix broken or inconsistent conversion tracking • Google Ads & Meta Pixel implementation • Full GTM container optimization (web + server) • Tag cleanup, deduplication & documentation • BigQuery exports + Looker Studio dashboards • Consent-aware tracking (GDPR/CCPA friendly) Server-Side Tagging (Optional Upgrade) For teams preparing for a privacy-focused, cookieless future, I can implement: ✓ Server-side GTM container (Stape or Google Cloud) ✓ GA4 server-side client + event routing ✓ Google Ads & Meta server-to-server events ✓ Custom tracking subdomain setup ✓ Full browser + server debugging and validation This improves conversion accuracy, reduces ad-blocker loss, and dramatically increases tracking stability across platforms. Why Agencies & Clients Hire Me • Deep expertise in GA4, GTM (web + server), Ads & BigQuery • Fast, senior-level problem solving • Clean, scalable implementations that teams can maintain • Clear communication and strong documentation • Ability to support multiple client environments • A focus on accuracy, privacy and long-term reliability If you need tracking fixed, cleaned up, or fully modernized — web-based or server-side — I’d be happy to help.

AI Development & Digital Transformation | Custom Software and Web Development | LLMs, RAG, Agentic AI, Full-Stack Developers| Expert-Vetted Top 1% I genuinely love helping businesses build kick-ass AI and custom software products and that obsession has earned Valere an Expert-Vetted Top 1% badge on Upwork, ranking us among the top 1% of software development talent on the platform. I'm Guy, CEO and founder of Valere. After 15+ years building, consulting, and launching consumer software products (including two acquisitions, one being a 15-million user app) I started Valere to help companies become AI-first through end-to-end engineering and transformation. We walk our clients through the whole process from AI planning and assessment, discovery, product design, technical solutioning, development, deployment, team adoption, AI upskilling/ AI coaching, and ongoing improvement. My ultimate goal is to help companies become AI-first by handling the full lifecycle and providing with tangible outcomes that we can all be proud of. There’s a lot of heart that goes into building impactful products. On paper, that looks like…300+ production deployments. $900M+ in measured client impact. 94% partner satisfaction. Clients include Fortune 500 companies, Johns Hopkins University, United Rentals, Mars, iHeartMedia, and CarShield. Client platforms we've built have helped raise $70M+ in venture and institutional funding. What my team builds: ✔ AI: Agentic systems, LLM applications, RAG pipelines, NLP, computer vision, ML, predictive analytics, generative AI, deep learning ✔ Web Development: React, Angular, Vue, Next.js ✔ Mobile Development: React Native, Flutter, Swift, Kotlin ✔ Back-end: Python, Node.js, .NET, PHP ✔ Cloud & DevOps: AWS, Azure, Google Cloud, Docker, Kubernetes ✔ Data: PostgreSQL, MongoDB, Snowflake, dbt ✔ Design: UX/UI, design systems, accessibility Who I work with: Venture-backed startups, PE-backed companies, mid-market businesses, and Fortune 500 enterprises across healthcare, finance, sports, fitness, education, and operations. Why clients choose us: ⭐️ AWS Advanced Tier & recognized AI/ML Partner ⭐️ Ranked #2 AI Services Provider on G2 a verified enterprise reviews ⭐️ Clutch Global Awards 2026 Top ML & AI Provider | Top 15 AI/ML worldwide ⭐️ Expert-Vetted Top 1% Agency on Upwork and featured in Upwork's 2023 Q2 Shareholder Report ⭐️ Selected for Upwork's Customer Advocacy Program, invited speaker at Upwork AI events ⭐️ The Manifest: Most Reviewed Developer 2024 ⭐️ Recognized Top 5 Trusted AI Agency by Tom Popomaronis Our AI transformation model: We transform companies into AI-first organizations through three tracks: Build (end-to-end AI and custom software development), Educate (AI workforce readiness via Valere Learning and General Upskilling through Evolve, our social platform), and Scale (proprietary products including Conducto, our agentic AI orchestration framework, and Dactic, our research automation platform). 225+ global professionals: AI Strategists, Data Scientists, Generative AI Developers, Agentic AI Engineers, UX Designers, Product Managers. U.S.-based oversight, 24/7 global coverage. Each client I work with gets decades of direct experience, through our engineers and through processes iterated on for YEARS across hiring, engineering, design, and QA. I'm OBSESSIVE about excellence. Anything less is unacceptable, which is why I only take on work we can execute at the highest level. If you have read this far, please note I appreciate you taking the time. I would love to learn about what you're building. Send me a message. Let’s chat!

I am a HubSpot Certified CRM Consultant with 14+ years of experience helping businesses optimize customer relationship management, automate processes, and improve operational efficiency. I specialize in HubSpot and GoHighLevel CRM implementation, pipeline management, workflow automation, lead nurturing, sales process optimization, reporting, and CRM customization. My expertise includes HubSpot Sales Hub, Marketing Hub, Service Hub, custom properties, deal pipelines, workflow automation, email marketing automation, lead scoring, data migration, integrations, dashboard creation, and CRM optimization. I also have extensive experience with GoHighLevel CRM, including sales pipeline setup, marketing automation, workflow automation, funnel building, lead management, opportunity tracking, appointment scheduling, email and SMS marketing, reporting dashboards, and revenue analytics. I help organizations streamline sales and marketing operations, eliminate manual tasks, automate customer journeys, improve lead conversion rates, and build scalable systems that support business growth. My experience includes designing automated follow-up sequences, lead nurturing campaigns, customer communication workflows, and executive reporting dashboards that provide real-time visibility into business performance. I focus on delivering practical, scalable, and ROI-driven solutions with clear communication, structured project execution, and measurable results. Every project is personally managed by me to ensure high-quality delivery, long-term value, and successful client outcomes. Key Achievements: 1) Built 1,000+ HubSpot workflows for clients across multiple industries. 2) Successfully completed 50+ CRM-to-HubSpot migrations with minimal business disruption. 3) Designed and deployed 100+ custom HubSpot dashboards for sales, marketing, and executive reporting. 4) Managed migration and integration of 300,000+ contact records while maintaining data quality and integrity. 5) HubSpot Certified Developer with hands-on expertise across HubSpot CRM, Marketing Hub, Sales Hub, Service Hub, and Operations Hub.

Consultant in the data sciences practice with a background in computational neuroscience and biomedical engineering. Specialized in developing scalable machine-learning-based solutions to drive innovative concepts at the intersection of Computer Sciences, Artificial Intelligence, and Visual Sciences.

⭐MVP Delivery in 72 Hours Guarantee ⭐Certified Project Manager and Scrum Master ⭐Agile Master and Project Management Professional ⭐12+ years of experience in full-stack development ⭐5+ years of experience in product management ⭐Development and management of large-scale projects ⭐ Available to talk at all times ⭐Director of Rotaract International (Volunteering) ⭐ Areas of our Expertise/Specialization:⭐ ✔ Logistics / Transportation & Travel Platforms ✔Marketplace / Multi-Vendor(E-commerce) Marketplace ✔Education/Online Tutoring/ E-Learning/LMS ✔Real Estate / Property Management with IDX and MLS integration ✔Booking Management System ✔Healthcare /Telemedicine Platform ✔Inventory/Dashboard Management System ✔Job Board/Recruitment Platform ✔Enterprise Solution (ERP & CRM) ✔Finance Platform ✔Directory/Listing Platform ✔E-Commerce/Online Shop ✔Restaurant Management System I provide professional software engineering services and help customers achieve their business goals by coding, building a dev team, and filling expertise and technological gaps. ⭐Technologies we work with⭐ ✔ HTML5/CSS3/SCSS/LESS/Bootstrap(W3C standard) ✔ JavaScript (React JS, Next Js, Ajax, jQuery, Vue, Vuex, Angular) ✔ Mobile-friendly layout coding (Responsive design) ✔ UI / UX designing for your digital products ✔ Wireframing for UI/UX concepts ✔ PHP ( Framework like Laravel, Codeigniter, etc. ) ✔ Node.js ✔ CMS: WordPress, WooCommerce ✔ Restful API (Google APIs, Payment Processing, SSO Integration, Mailgun, Twitter, Facebook, Twilio, Apple News Publisher, Android, and iOS API) ✔ Database: MySQL, PostgreSQL, MongoDB, SQLite, MS SQL Database ✔ NoSQL: Redis, Mongo ✔ Payment Gateways: PayPal, Stripe, Braintree, Wirecard ✔ LAMP Stack (Linux, Apache, MySQL, PHP), MEAN (MongoDB, Express.js, Angular, and Node.js), MERN (MongoDB, Express.js, React, and Node.js) ✔ DevOps: Linux/Nginx, Terraform ✔CI/CD Automation (Git, GitHub, GitHub Actions) ✔ Mobile apps development (Flutter, React Native), Android and IOS apps ✔ Database Migration and New Development ✔ Web Services: AWS Server, Google Cloud, MS Azure My team's goal is to give you confidence that the development will be done according to your expectations, and even better. We will help when you are looking for a reliable developer or technical partner to make your business work. I appreciate that you have reviewed my profile. Thanks!

Technical Product Lead | LLM Systems & ML Infrastructure | MLOps AI product tech lead with a background in applied machine learning and systems architecture. Specializes in the productization of large language models (LLMs), recommendation systems, and computer vision pipelines. Fluent in the trade-offs between model fidelity, inference latency, compute cost, and statistical accuracy. Experienced in translating experimental research papers and half-trained checkpoints into production-grade, distributed systems. Operates at the intersection of prompt engineering, data ontology, and backend infrastructure. ###Technical Strategy & Systems Thinking - LLM Architecture Strategy: Roadmapping across fine-tuned OSS models (Llama 3, Mistral), closed-weight APIs (OpenAI, Anthropic), and hybrid routing layers. Defining context window utilization, retrieval-augmented generation (RAG) chunking strategies, and embedding model selection (e.g., Ada vs. Cohere vs. SBERT). - ML Evaluation & Validation: Designing offline/online evaluation frameworks beyond accuracy—specializing in hallucination rate, perplexity, toxicity filters, and adversarial robustness. Experience with human-in-the-loop (HITL) labeling workflows and active learning loops. - Infrastructure & MLOps: Defining requirements for feature stores, model registries, and inference orchestration. Deep understanding of GPU/TPU utilization, autoscaling policies, and cold-start mitigation. Familiar with Kubernetes, Ray, and vector database sharding strategies. - Data-Centric AI: Prioritizing data curation over architecture tweaks. Expertise in synthetic data generation, class imbalance correction, and weak supervision (Snorkel/Skweak) for low-resource domains. ###Technical Stack & Implementation Fluency - Languages & Querying: Python (scripting, data analysis), SQL (complex aggregations, feature engineering), GraphQL/REST. - Frameworks & Libraries: LangChain, LlamaIndex, Hugging Face Transformers, PyTorch, TensorFlow, Scikit-learn, spaCy. - Infrastructure & Tooling: AWS SageMaker, Bedrock; GCP Vertex AI; Databricks; Weights & Biases; MLflow; Docker; Kubernetes. - Vector/NoSQL: Pinecone, Milvus, Chroma, Redis, PostgreSQL (pgvector). - Experimentation: A/B testing with inference shadows, canary deployments, multi-armed bandit algorithms. ###Technical Implementation Highlights 1. RAG Architecture for Enterprise Q&A *Led product requirements for a retrieval-augmented generation system targeting legal document analysis. Evaluated trade-offs between dense (DPR, ColBERT) and sparse (BM25) retrievers. Defined chunking ontology and metadata filtering schemas to reduce latency from 2.3s to 480ms while maintaining top-3 recall above 89%. Implemented re-ranking layer to improve answer relevancy by 32%.* 2. LLM Fine-Tuning & Cost Optimization *Managed roadmap for domain-adaptation fine-tuning of a 7B parameter model. Instrumented LoRA vs. full fine-tuning experiments to optimize for VRAM constraints. Reduced inference cost per 1M tokens by 63% through quantization (bitsandbytes) and speculative decoding implementation. Collaborated with MLEs to build a feedback loop using human preference data for DPO training.* 3. Real-Time Computer Vision Pipeline *Shipped an on-device object detection model for mobile IoT. Defined requirements for model compression (TensorFlow Lite, pruning) to meet <15MB size constraint and 30 FPS threshold on edge devices. Implemented frame-sampling strategy to reduce cloud egress costs by 73%.* 4. Model Observability & Drift Detection Implemented statistical alerting for model performance degradation in production. Defined thresholds using PSI (Population Stability Index) and KL divergence on embedding distributions. Built requirements for explainability layer using SHAP and LIME to debug failure modes flagged by trust & safety teams.