𝗔𝗜 & 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 | 𝗦𝗲𝗻𝗶𝗼𝗿 𝗔𝗜 / 𝗟𝗟𝗠 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 | 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜, 𝗖𝗵𝗮𝘁𝗯𝗼𝘁𝘀 & 𝗻𝟴𝗻 𝗘𝘅𝗽𝗲𝗿𝘁 I'm a Senior AI and Automation Engineer building production-grade AI systems since 2020. My work sits at the intersection of machine learning, large language models, agentic systems and scalable software engineering. I help companies turn complex workflows, data and ideas into systems that actually run in production and deliver measurable outcomes. I have designed and deployed AI products across healthcare, legal, education, SaaS, marketing, e-commerce and operations. This includes custom LLM applications, RAG pipelines, autonomous agents, voice systems and full business process automation. I work end to end, from system design and model selection to deployment, scaling and long-term optimization. 𝗖𝗼𝗿𝗲 𝗙𝗼𝗰𝘂𝘀 𝗔𝗿𝗲𝗮𝘀 𝐀𝐫𝐭𝐢𝐟𝐢𝐜𝐢𝐚𝐥 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 & 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 - Supervised, unsupervised and reinforcement learning - Deep learning with CNNs, RNNs, Transformers, GANs - NLP for classification, summarization, sentiment analysis, and conversational systems - Time series forecasting with LSTM, GRU, and sequence models - Computer vision for image classification and object detection - Production deployment with TensorFlow, PyTorch, ONNX, and MLOps pipelines 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 & 𝐋𝐋𝐌 𝐒𝐲𝐬𝐭𝐞𝐦𝐬: - Context-aware chatbots and copilots using OpenAI, Claude, Gemini, LLaMA and Mistral - RAG systems with vector databases and semantic retrieval - Multi-agent and autonomous agent architectures - Fine-tuning and RL-based optimization for domain-specific use cases - Voice agents using Whisper, ElevenLabs, Vapi, and Twilio integrations 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 & 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧𝐬: - Advanced workflow automation with n8n, Make and Zapier - WhatsApp, Telegram, Slack, Instagram, Messenger, CRM, and database integrations - Email automation, lead routing, document processing and data sync pipelines - Custom dashboards and real-time systems for analytics and monitoring 𝗙𝘂𝗹𝗹-𝗦𝘁𝗮𝗰𝗸 & 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝐅𝐫𝐨𝐧𝐭-𝐞𝐧𝐝: React, Next.js, React Native, Expo, TailwindCSS, TypeScript 𝐁𝐚𝐜𝐤-𝐞𝐧𝐝: Python, FastAPI, Django, Flask, Node.js, Express 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞𝐬: PostgreSQL, MySQL, MongoDB, Supabase, Firebase, pgvector 𝐂𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬: AWS, Azure, GCP, Docker, Kubernetes, CI/CD Secure auth, payments and multi-tenant systems with Stripe, Clerk, Plaid, and custom RBAC 𝗦𝗲𝗹𝗲𝗰𝘁𝗲𝗱 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 - Built a full no-code AI agent builder for automating a services company including voice calls, messaging, document processing, and third-party integrations - Development lead for an AI education startup, shipping production features continuously for over two years - End-to-end AI mobile apps for iOS and Android focused on agentic UGC content generation - Legal AI platforms using RAG pipelines over large jurisdiction-specific knowledge bases - Scaled real-time AI systems handling high concurrency and live analytics 𝗛𝗼𝘄 𝗜 𝗪𝗼𝗿𝗸: I approach every project with a systems mindset. I focus on clarity, performance, cost control and long-term maintainability. I work closely with founders, product teams and stakeholders to make sure the AI solution fits the business, not the other way around.

I am a highly experienced full stack and devops engineer that can bring valuable expertise to a variety of projects; Whether you are a small business looking to launch an ecommerce website, a nonprofit looking to modernize your digital infrastructure or an entrepreneur looking to stand up a computational prototype, I'm your guy! I've founded a profitable business and have a range of expertise not only in hard technical areas, but also adjacent domains like digital marketing/SEO, customer discovery and UX design. If you're looking for someone pragmatic, who possesses broad experience, excellent interpersonal skills and who can delivery quickly and reliably, then you should shoot me a message!

You're spending real money on ads. But GA4 says one number, Google Ads says another, Meta says a third, and your CRM doesn't match any of them. So your team picks whichever numbers and attributions that support the decision they already wanted to make — and calls it "data-driven." That's not a reporting problem. That's a measurement problem. I find what's actually causing the discrepancy and fix it. 100% success rate - Top 1% on Upwork. Rated by over 100 happy clients ⭐️⭐️⭐️⭐️⭐️ --- 𝗜𝗳 𝗮𝗻𝘆 𝗼𝗳 𝘁𝗵𝗶𝘀 𝘀𝗼𝘂𝗻𝗱𝘀 𝗳𝗮𝗺𝗶𝗹𝗶𝗮𝗿, 𝘄𝗲 𝘀𝗵𝗼𝘂𝗹𝗱 𝘁𝗮𝗹𝗸: - Google Ads, Meta, GA4, and your CRM all show different conversion numbers — and you're spending five or six figures a month not knowing which one to believe - You server-side tracking or Meta CAPI were 'set-up' , but the numbers still look wrong - You don't leverage server-side tracking at all - Your dashboards look polished, but you can't actually tell which channel is driving revenue - A migration, redesign, or consent banner rollout quietly broke your tracking - You're scaling paid media but don't trust the data enough to make confident budget calls --- 𝗡𝗼𝘁 𝘁𝗵𝗲 𝗿𝗶𝗴𝗵𝘁 𝗳𝗶𝘁? I work best with businesses that are past the basics — running real ad spend, dealing with real complexity, and needing someone who can diagnose and fix what's actually broken, not just install pixels. If you need the cheapest implementation or a quick tag drop, I'm probably not your guy. If that sounds like your situation, let's talk. --- 𝗛𝗲𝗿𝗲'𝘀 𝘁𝗵𝗲 𝗽𝗮𝘁𝘁𝗲𝗿𝗻 𝗯𝗲𝗵𝗶𝗻𝗱 𝗮𝗹𝗹 𝗼𝗳 𝘁𝗵𝗲𝘀𝗲: Every engagement starts with what I call The Tracking Diagnostic — a structured review of your full measurement chain: tags, triggers, consent, data layer, platform configs, server-side events. I map how everything connects (and where it doesn't). You get a clear breakdown of what's broken, what it's costing you, and a prioritized fix plan — before any implementation begins. --- 𝗪𝗵𝗮𝘁 𝘁𝗵𝗶𝘀 𝗹𝗼𝗼𝗸𝘀 𝗹𝗶𝗸𝗲 𝗶𝗻 𝗽𝗿𝗮𝗰𝘁𝗶𝗰𝗲: 🔹 SaaS company losing 40% of conversions due to SPA navigation breaking GA4 events → Full tracking restored in 5 days, CAC dropped 30% 🔹 Ecommerce brand seeing 2.3× more conversions in Meta than GA4 → Server-side deduplication brought platforms within 8% of each other 🔹 Lead gen agency couldn't connect form fills to closed deals across 23 client accounts → Built CRM-to-ad-platform pipeline, attributed $2.1M in previously invisible revenue --- 𝗪𝗵𝗮𝘁 𝗜 𝗰𝗮𝗻 𝗵𝗲𝗹𝗽 𝘄𝗶𝘁𝗵: 𝘍𝘪𝘹 & 𝘋𝘪𝘢𝘨𝘯𝘰𝘴𝘦 - Tag audits, broken conversion tracking, data discrepancies between platforms, consent mode issues, GA4 misconfigurations 𝘐𝘮𝘱𝘭𝘦𝘮𝘦𝘯𝘵 & 𝘉𝘶𝘪𝘭𝘥 - GTM setup and governance, GA4 implementation, server-side tracking (Meta CAPI, TikTok Events API, Google Ads), cross-domain and funnel tracking, data layer architecture 𝘙𝘦𝘱𝘰𝘳𝘵 & 𝘚𝘤𝘢𝘭𝘦 - Looker Studio dashboards, BigQuery exports, offline conversion tracking, CRM-based attribution, ongoing measurement QA --- 𝗥𝗲𝗮𝗱𝘆 𝘁𝗼 𝗳𝗶𝘅 𝘆𝗼𝘂𝗿 𝘁𝗿𝗮𝗰𝗸𝗶𝗻𝗴? If your numbers don't line up and you're not sure where the problem starts — send me a message with 1. your website or funnel URL 2. the platforms involved 3. what looks wrong in the data 4. what outcome you need to measure I'll tell you what I think is going on before we discuss any engagement. Every engagement starts with The Tracking Diagnostic — a structured review of your full measurement setup, where it breaks down, what it's costing you, and exactly what to fix first. You'll have clarity before any implementation begins. Drop me a message. I'll take it from there. --- `Google Tag Manager · Google Analytics 4 · GA4 · GTM · Server-Side Tracking · Meta CAPI · Conversions API · TikTok Events API · Facebook Tracking · Google Ads Conversion Tracking · Attribution · Looker Studio · BigQuery · Consent Mode · Cross-Domain Tracking · Enhanced Ecommerce · Enhanced Conversions · Data Layer · Tag Audit · Shopify · WooCommerce · SaaS Tracking`

I’m a lead software engineer focused on backend systems, APIs, automation, and AI-powered products. If you have a manual process, disconnected systems, an API-heavy product, or an AI workflow that needs to become reliable software, I can help design and build it.

I'm a developer experienced in building websites for small and medium-sized businesses I know html , css , c++ , and some javascript

I'm a backend and AI infrastructure engineer with 11 years building production systems at Razorpay, Cashfree, and CustomGPT - currently Lead Engineer at CustomGPT, where I own our AI data pipeline and LLM orchestration layer. Recent work clients hire me for: - Migrating 330M+ vector embeddings from Pinecone to pgvector with zero downtime, cutting vector DB costs by 70% - Building multi-provider LLM orchestration (OpenAI, Anthropic, Azure OpenAI) with failover and cost routing - Designing async ingestion pipelines (Python, Celery, Redis) processing docs/web content at scale - Cutting AWS infra spend (reduced a $30K/month bill to $21K) through query optimization and right-sizing - Full observability stack setup (Prometheus, Grafana, Loki, OpenTelemetry) I've also led a monolith-to-microservices migration handling real payment infrastructure (UPI, cards, netbanking) at IPL-scale traffic. If you need someone who can both architect the system and actually ship it, not just advise - let's talk about your project.

🎖 Upwork Top Rated UI/UX Designer | 🏆 Over 7 years of experience Hi 👋 This is Nazirul. I'm providing design solution for last 6+ years. In my career I provide product design solution to digital agency & business owner. I help them to stand out from crowd & help them to grow faster. Here are my expertise: 1. Web UI & UX Design. 2. App UI & UX Design. 3. Logo Design & Branding. My Skillset: 1. User Research. 2. Story Board. 3. Site mapping. 4. User Flow. 5. Sketching. 6. Wireframing. 7. Visual Designing. 8. Prototyping. 9. Usability Testing. 10. Basic html, css. Tool I use: 1. Sketch. 2. Figma. 3. Adobe XD. 4. Adobe Photoshop. 5. Adobe Illustrator. 7. Invision 8. Zeplin. 9. Avocode. 10. Balsamiq. 11. Marvel App. 12. Mockflow If you're looking to build up a strong visuals with great usability let's have a chat.

Quantitative Developer & AI Researcher with 2+ years of experience architecting high-performance simulation engines and deploying agentic AI systems. Expert in Python internals, Distributed Systems, and LLM Application Architecture (RAG). Successfully built and deployed a Generative AI assistant to interface with complex numerical pipelines, reducing query latency by 30%. Proficient in containerization (Docker) and cloud orchestration (Azure) for scalable model deployment.

SUMMARY Experienced software engineering leader with a proven track record in designing and implementing advanced applications and platforms. Skilled in leading cross-functional teams and managing projects in AI, cloud services, and wearable technology. Expertise in Python, Java, Kotlin, Go, TypeScript and cloud platforms such as GCP, AWS and Azure. Notable experience with industry-leading companies such as Google and JPMorgan, as well as reputable startups like Fitbit and You Technologies. HIGHLIGHTS * Cloud Platforms and Integration: GCP (expert), AWS (advance) and Azure (familiar) * Programming languages: Python and Java (expert), Kotlin and Go (advance), NodeJS and TypeScript (familiar) * AI Application Development: PyTorch, Tensorflow, OpenAI, Azure OpenAI, Gemini, T5, Llama, Pinecone, Chroma, HayStack, Hugging Face, Ray, Raga. * Microservices Architecture: Kubernetes, AWS Lambda, AWS ECS, GCP Cloud Run, GKE, Service Mesh, Protocol Buffer, gRPC, PubSub, Event Architecture * Frontend Development: TypeScript, NextJS, React, Flutter

My name is Darko Nikolic I am programmer with 7 year of experience in game development. I have worked on games for multiple platforms(Windows, Mac, Android and IOS) both 2D and 3D games.