Hire Top Freelance Google gemini Developers

Adrian Segui

**📝 Profile Context / Summary** With 10+ years across enterprise IT and global freelancing, I am an AI-Stack Architect—not just a full-stack developer. In 2026, the industry has shifted decisively: software is no longer just written; it is architected, governed, and continuously learned. The most valuable engineers are no longer those who simply write code, but those who can turn code into cognition—engineers fluent in the AI-stack. I am that engineer. I design and build agentic platforms—systems where AI doesn't just assist but actively plans, builds, tests, and releases software. I have successfully delivered complex solutions across Medical, Fintech, Employee Management, and SaaS industries, handling everything from AI-native frontends to hyper-scalable microservices with autonomous agent orchestration. **🤖 AGENTIC AI & MACHINE LEARNING** 2026 is the breakout year of AI inferencing—where trained models generate predictions and outputs from new data. Most AI computing is now spent on inference rather than training. I specialize in: Agentic AI & Orchestration: LangChain, LlamaIndex, AutoGen, CrewAI—building multi-agent systems that plan, act, and adapt in real time. Full-stack agent platforms combining proprietary training data, planning models, and custom actuation layers. Generative AI & LLMs: OpenAI GPT-4/API, Google Gemini, Anthropic Claude, HuggingFace Transformers. Retrieval-Augmented Generation (RAG) with vector databases (Pinecone, Chroma, Weaviate, FAISS). AI-Native Development: 42% of committed code is now AI-generated, projected to reach 65% by 2027. I don't just use AI tools—I orchestrate AI agents across the entire SDLC: planning, design, build, test, deployment, and maintenance. Deep Learning & Classical ML: TensorFlow, PyTorch, CNNs (Computer Vision), RNNs/LSTMs (Time-Series/NLP), Scikit-learn, Pandas, NumPy. Model Deployment & Optimization: Model compression, quantization, edge computing, cost-per-prediction optimization. AI Governance & Security: AI-generated code carries roughly double the security risk violations of human-written code. I implement robust governance, testing, and security controls for AI systems. **⚛️ MODERN FRONTEND** React remains the most widely used UI library, with 67% of new enterprise React projects now built on Next.js—a 300% increase since 2023. React Server Components are now the default: Core: React 19, Next.js 16 (App Router, Server Components, Turbopack), Remix, Svelte 5 (runes), Astro. Styling: Tailwind CSS, shadcn/ui (1.87M weekly downloads), Framer Motion, Material-UI. State: Zustand (35% adoption, 35ms updates) vs Redux (38% adoption, 65ms), TanStack Query, Jotai. Build Tooling: Vite 8 with Rolldown (Rust-based, 10-30x faster builds), Turbopack. TypeScript: Used by 38% of professional developers, required in 72% of frontend job postings. **📱 MODERN MOBILE** React Native's New Architecture (stable since 2024) delivers significant performance improvements through synchronous native module calls: Frameworks: React Native (Expo), NativeScript, Flutter. Native: iOS (Swift/SwiftUI), Android (Kotlin & Jetpack Compose). Emerging: GPU-powered rendering for consumer and enterprise apps. **⚙️ MODERN BACKEND & API** Runtimes: Node.js (NestJS, Express), Bun, Deno, Python (FastAPI—57.9% developer usage, up 7% from 2024), Java (Spring Boot 4.0—modularized, Java 25 LTS support). Spring AI 1.0: Built-in support for integrating LLMs and AI services into enterprise Java applications. API Design: RESTful, GraphQL (Federation), gRPC, Webhooks, WebSockets. Event-Driven: Apache Kafka, RabbitMQ, AWS SNS/SQS. **☁️ DEVOPS & CLOUD (2026 Standard)** Cloud-native and Serverless adoption has surpassed 70% penetration in enterprise IT. Multi-cloud is now the standard—Gartner projects over 75% of cloud customers will adopt this model: Cloud: AWS, GCP, Azure (multi-cloud architecture). Containerization & Orchestration: Docker, Kubernetes (K8s), Helm. Serverless: AWS Fargate, Lambda, Cloudflare Workers—extending to data pipelines, real-time streaming, and event-driven microservices. IaC: Terraform, AWS CDK, Pulumi. CI/CD: GitHub Actions, GitLab CI, ArgoCD, Jenkins. **🗄️ DATABASES & SEARCH** Relational: PostgreSQL (PostGIS), MySQL, SQLite. NoSQL: MongoDB, DynamoDB, Firebase. Vector (AI): Pinecone, Chroma, Weaviate (for RAG and semantic search). Search: Elasticsearch, Algolia, Meilisearch. Caching: Redis, Memcached. **🔗 CRM, AUTOMATION & INTEGRATION** In 2026, the CRM market is consolidating around Salesforce, Microsoft, ServiceNow, and HubSpot as a durable challenger. Both platforms have invested heavily in agentic AI, predictive intelligence, and conversational AI: CRMs: Salesforce (Apex), HubSpot (Agentic Engagement Object), Zoho. Low-Code/No-Code: Gartner forecasts the low-code market at $44.5 billion in 2026, with 75% of new enterprise apps built on low-code platforms. Automation: VBA, Excel Macros, Google App Script, Bubble.io, n8n, Make, Zapier. Citizen Development: 80% of low-code users are now "citizen developers". **🚀 Why Partner With Me in 2026?** The software industry has crossed a clear threshold in 2026. Generative AI is no longer just helping developers write code faster—it is reshaping how software is planned, built, tested, and delivered. The role of the developer has evolved from coder to curator of intent, constraints, and outcomes. **I bring:** 10+ years of battle-tested engineering across the full spectrum. Agentic AI fluency—the ability to orchestrate AI agents across the entire SDLC. Systems thinking and architectural judgment—skills that AI cannot replace. Security-first mindset—AI amplifies what's already there; where code quality is managed, AI accelerates delivery; where it isn't, it accelerates technical debt and security exposure. Whether you need an AI-native application, a microservices overhaul, an agentic workflow orchestration, or an intelligent CRM integration—I deliver professional, scalable, and governable solutions. Let's architect intelligence together. **Contact me today.**

Umair Jameel

● AI Powered development using Javascript and its frameworks/libraries like Angular, React, Next.js, Express, Node, Express, mongodb, mongoose etc. ● AI agents, prompt engineering, RAG, MCP servers, vibe coding. ● Full stack development in next.js including frontend, backend and databases. ● Architecture projects from scratch as well as building new features in existing projects. ● Debug and fix errors in existing projects. ● Database architecture using mongodb, postgres, ORMs like prisma and drizzle. ● Implement the best practices of code structure, logic building and making code efficient. ● Follow pure Object Oriented Programming and Data Structures for solving problems. ● REST API development using node and its frameworks (mainly express). ● Know best practices of writing test cases (it includes unit testing and automation testing). ● Decision making in choosing programming languages, frameworks and libraries for a particular project. ● Good communication skills and understanding client requirements. ● Do research and development to stay up to date with new technologies and always keen to adopt better approaches in solving any kind of problem. ● Experience in CI/CD, docker, github actions etc. ● Teaching experience for over 5 years now. These are some projects I have worked on: https://learnwith.flashclass.io/ https://www.getconch.ai/ https://eahousing.es/ https://www.blackbox.ai/ https://unation.com/

Usama Zaheer

Developed a variety of 3D | 2D, Hyper-Casual, Arcade, Story Driven Games on Platforms including *Web, PC and Mobile with integrated Firebase, Ad Mob, Facebook, Microsoft PlayFab, Photon (PUN), Google Play Services and many more*, tailoring the best gaming experience for end users. Helped companies Game For Grants, Game Trade Win, Cubacitas, K.B.G, The Indie Connection, Universal Fox Games and many more achieve their products the way they wanted to see. I advocate mentees pave their skillset in **Unity Engine, Roblox Studio, Godot, Unreal Engine & BabylonJS**. I love to figure out solutions and help others achieve their goals and better understand the problems. I have a staunch belief: **"Knowledge increases by sharing"** I assent it with clarity, purpose and well execution which results in a no compromise to quality projects that live and breathe adaptability.

Saurabh Gupta

I am a **Senior** **Product Architect & Engineer** with 10+ years of experience bridging product strategy, system architecture, and full-stack execution. I specialize in taking products from zero to one and architecting scalable, cross-platform applications across Web, Mobile (Capacitor/Ionic), and Desktop (Tauri/Electron). I operate at the intersection of UX fidelity, clean system design, and business constraints—ensuring applications are fast, maintainable, and aligned with user needs. ### Core Offerings & Focus Areas: * **0-to-1 Product Architecture & Multi-Tenant Platforms:** Designing modular, cloud-native frontend and backend systems (Next.js, Node.js, Python, PostgreSQL/Supabase, AWS) with strict isolation, high performance, and rapid deployment cycles. * **AI-Native Applications & Interfaces:** Architecting user-facing AI workflows with OpenAI and Google Gemini APIs. Specialization in building transparent interfaces requiring source attribution, confidence metrics, and audit trails. * **Cross-Platform Product Strategy:** Unified codebases powering Web, Hybrid Mobile (Ionic/Capacitor), and native-feel Desktop apps (Tauri/Electron) to maximize feature velocity and reduce maintenance overhead. * **Design Systems & Frontend Infrastructure:** Establishing robust component libraries (Tailwind, Radix/Shadcn) and end-to-end testing pipelines (Playwright) to accelerate teams without sacrificing UI polish. **Core Stack:** TypeScript, React, Next.js, Node.js, Python, PostgreSQL, Supabase, Tauri, Ionic/Capacitor, React Native, AWS, Playwright.

Kirill Erokhin

I am a senior full-stack & DevOps developer with a track record of maintaining distributed infrastructure, recent deep experience in large-scale data pipelines and a growing skillset and interest in applied AI/LLM integration. My recent work at an e-commerce search engine startup had me building and maintaining scrapers and a data pipeline that ingested over 10M product SKUs into an OpenSearch index, which was used for hybrid vector+lexical product search, enriched with LLM signals extracted as part of the pipeline. I've used reranking techniques like RRF to enhance relevance after retrieval, and RAG/grounding for features that answered personalized user queries with recommendations grounded in real customer reviews. My earlier work was heavily full-stack and always involved infrastructure where I often built and supported systems end-to-end, very often in context of a regulated market - with great examples like Deckard (PropTech/GovTech), Sick Children's Hospital/RareConnect (Healthcare-adjacent), and Ethoca \[now MasterCard\] (FinTech). I've also led IaC initiatives at Ethoca (Chef/Ansible, in 2016-17), and even implemented IaC from scratch for two startups - Pastel Labs (Terraform automation of AWS infrastructure for a B2B SaaS and a tutoring marketplace, in 2021), and Rilara (Pulumi for AWS infrastructure of their e-commerce product, in 2025-26). My startup experience is proven track record of working independently, but I also thrive as part of a team, with most recent example of being part of Deckard's distributed remote engineering team of 25+ people spread across the US and Australian timezones. Claude Code is part of my everyday workflow, and I am happy to consider myself a relatively-older senior developer who has successfully adapted to an AI-assisted/AI-first SDLC without compromising the quality of my work. I would be very excited to continue my journey with an opportunity in healthcare or finance, where I could apply my IaC skills while continuing to explore the world of LLM applications to improve user experience in these regulated environments. Should you have any questions about any of the background I mentioned here or on the attached resume, I would be glad to answer them in an interview at a time of your convenience. Thank you!

Ahmet Özlü

### About Me I am an **Enterprise Domain Architect & AI-Augmented Engineering Lead** with over a decade of experience in software development, backed by a **Master’s degree in Computer Vision** and the **Google Inside Look 2019 Award**. My unique background bridges the gap between **robust enterprise system design** and **cutting-edge AI ecosystems**. I don't just integrate AI tools; I understand them from the ground up—from architecting resilient, scalable enterprise domains to building multi-agent autonomous workflows. ### 🚀 Core Expertise & How I Can Help * **Enterprise Architecture & Backend:** Designing high-performance backend systems, modernizing legacy infrastructure, and establishing Domain-Driven Design (DDD). I specialize in **Java, Spring Boot, gRPC, and Microservices**. * **Autonomous AI & Agentic Workflows:** Accelerating development velocity by integrating AI directly into the sprint lifecycle. I specialize in PBI-driven autonomous development using tools like **Windsurf, GitHub Copilot**, and orchestrating multi-agent collaboration frameworks using **Gemini, Groq, and Phidata**. * **Computer Vision & Deep Learning:** Leveraging my academic and practical background in **TensorFlow, Keras, and OpenCV** to build and optimize custom ML models for Face Recognition, Object Detection, and Video Analysis. ### 🏆 Key Achievements * Architected and led complex enterprise-level system transformations as a Domain Architect in a large-scale financial environment. * Built and deployed multi-agent AI teams to automate data collection, processing, and engineering tasks. * Optimized an object detection pipeline for a startup, reducing processing time by 40%, and deployed end-to-end ML models in production. * Published peer-reviewed IEEE papers in Computer Vision and Artificial Intelligence. ### 💡 Mentorship Philosophy I excel at breaking down complex concepts—whether it is designing a secure microservice architecture, training a custom CNN, or configuring a `skills.md` file for your AI agents. My goal is to empower you with practical, production-ready skills, transforming theoretical concepts into deployable code and autonomous workflows. * **GitHub**: [github.com/ahmetozlu](https://github.com/ahmetozlu) * **Papers**: [Facial Expression Recognition](https://ieeexplore.ieee.org/document/8404767/) | [Automatic Age Estimation](https://ieeexplore.ieee.org/document/8404549/)

Thomas Theiner

I have been programming on different systems using a wide range of programming languages since I was 13. So it's already been 43 years and still counting .... Recently I started to find myself in situations where I need to cleanup the vibe coding attempts of other (more or less talented) programmers. I'd have never thought that something like this would be a thing all of a sudden.

Nick Karnik

I am a full-stack engineer and engineering leader with over 25 years of experience across big tech, startups, and research organizations. I have worked at Google, Microsoft, Salesforce, Tableau, T-Mobile, and Bill Gates’ think tank, the Institute for Disease Modeling at IV Labs, which later merged into the Bill and Melinda Gates Foundation. Most recently, I led engineering for Gemini Code Assist at Google, helping take an AI coding assistant from early development to adoption by millions of developers using VS Code and IntelliJ. My work focused on backend systems, developer tooling, platform architecture, and AI-assisted development, with an emphasis on performance, scalability, and real-world developer workflows. I have also founded startups, served as a CTO, raised venture funding, and taken products from prototype to production and through acquisition. I enjoy working across the stack, wearing multiple hats, and solving ambiguous problems. I mentor engineers at all stages, from complete beginners to senior candidates preparing for technical interviews. My approach is practical and structured, focusing on strong fundamentals, clear thinking, and building confidence. My primary technical focus today is JavaScript, TypeScript, Node.js, platform engineering, and AI-driven developer tools, with experience across many other languages as needed.

Zuber Alam

I'm an AI Systems Architect, Founder, and Full-Stack Engineer with over 10 years of experience designing and building scalable software products for startups and enterprises across the US, Europe, and Asia. I specialize in AI agents, Voice AI, LLM-powered applications, workflow automation, and modern cloud architectures. Over the years, I've helped businesses build production-ready platforms ranging from recruitment automation and conversational AI to CRM systems, logistics platforms, and enterprise SaaS applications. My expertise spans Python, Node.js, FastAPI, React, OpenAI, real-time AI, AWS, Docker, MongoDB, PostgreSQL, and enterprise integrations. Beyond writing code, I enjoy helping teams make sound architectural decisions, debug complex production issues, improve application performance, and turn ambitious product ideas into reliable, scalable systems. Outside of technology, I enjoy exploring new cuisines, traveling, and reading about business, technology, and emerging AI trends.

Nitin kalra

Expert in Gen AI, LLM, Chatbots, Java, Go, Android, OS, Shell scripting, AWS, Spring Boot, JavaScript, TypeScript, NodeJS. I have worked with Java, built microservices using spring boot. I have experience in building services using NodeJs, typescript. I have developed chatbots using **LLM and retrieval augmented generations.** I am also a mentor, I like the process of mentoring, as both mentor and mentee learn in the process, through mentoring, I accelerate my learning because there is always something that you learn or re-learn during mentoring.