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Freelance Deep Learning Developer - Adrian Segui
Freelance Deep Learning Developer5.0 (237 reviews)

**📝 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.**

Freelance Deep Learning Developer - Alok Agarwal
Freelance Deep Learning Developer5.0 (457 reviews)
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I have a great passion for solving problems and can help people with various programming languages, databases, information systems, software related projects.

Freelance Deep Learning Developer - Kazi Sohan
Freelance Deep Learning Developer5.0 (172 reviews)

I love to teach what I know. I think I can explain things easily with examples. I have been working as a Software Engineer for the last 5 years and have worked with some of the world's most reputed companies like **Open AI, Scale AI, Doloras Lab**, etc as a freelancer.

Freelance Deep Learning Developer - Alper Nebi Kanlı
Freelance Deep Learning Developer5.0 (3 reviews)

Senior Data Scientist with expertise in machine learning, natural language processing, information retrieval, and data engineering. Extensive experience in developing advanced algorithms and solutions across various industries. And, years of tutoring experience!

Freelance Deep Learning Developer - Antonio Carrasco Perez
Freelance Deep Learning Developer5.0 (16 reviews)

My strengths lie in designing and implementing innovative solutions, leveraging advanced algorithms and techniques to extract valuable insights from data with extensive expertise in Data Science, Machine Learning, Deep Learning, Python, R... I have successfully collaborated with diverse clients, ranging from startups to large enterprises, across various industries. With a track record of delivering impactful projects, I'm passionate about empowering businesses with data-driven strategies

Deep LearningMachine learningPythonRData ScienceSPSSAI
Freelance Deep Learning Developer - kolawole Olulana
Freelance Deep Learning Developer5.0 (4 reviews)

Passionate and skilled Full-Stack Software Engineer with over 13 years of experience in developing, optimizing, and maintaining software components and web services. Proficient in TypeScript, NodeJS, and frontend frameworks like React, Angular and Vue. Strong knowledge of microservice architectures, SQL/NoSQL databases, and best coding practices. Adept at working in fast-paced environments, continuously learning new technologies, and contributing to team improvements.

Freelance Deep Learning Developer - Varun Jewalikar
Freelance Deep Learning Developer5.0 (64 reviews)

Hi! I love Java, Python, Javascript, distributed systems, large scale systems, machine learning, natural language processing and image processing. My work has been featured on the AWS blog (https://tinyurl.com/chaosrunner), The Guardian (https://tinyurl.com/topvocab) , Billboard.com (https://tinyurl.com/topprofane) and other print/digital publications. I also own Amazon's chaos testing framework called AWSSSMChaosRunner (https://github.com/amzn/awsssmchaosrunner). I am a Senior Engineer at Amazon's Prime Video and have worked on scaling backend systems to millions of transactions-per-second, utilising various cloud technologies and primarily working with Java, Kotlin and Javascript. This involves image/audio/text processing systems, creating & managing databases/APIs for mobile/web applications and everything in between. I have 15yrs+ experience with backend engineering, cloud tech, nlp, signal processing and image processing. I can help you with any of these topics. I also love hackdays and have attended 20 hackdays in Europe in the last couple of years and collaborated with beginners/experienced developers on different kinds of projects. Thanks for reading and hope to talk to you soon!

Freelance Deep Learning Developer - Albert Li
Freelance Deep Learning Developer5.0 (12 reviews)

I’m an experienced software engineer with many years in the industry, including time at Google. I have strong expertise in Java, Python, and AWS, and I enjoy solving complex problems. I focus on building the right solutions, simplifying systems, and reducing complexity and cost. I’m looking to work on projects where I can use my skills and problem-solving mindset to create efficient and scalable software.

Freelance Deep Learning Developer - Anubhav Chaturvedi
Freelance Deep Learning Developer

Working as an Independent Contractor, Senior Software Engineer, Tech Content Creator, Corporate Trainer, and Hands-on Instructor for companies and Organizations. I enjoy solving problems, creating solutions as a Technopreneur, helping people, and making an impact. ►Software Development◄ We have delivered Blockchain and Fullstack Apps Solutions [IOS, Android, Web] (POC to MVP to Production App Development) for clients involving domains from Logistics, Real Estate, Fantasy League, and Finance. ►Experience◄ As a Contractor and Consultant for roles like Solutions Architect, Blockchain Engineer (Hyperledger & Ethereum), DevOps & MLOps Engineer including technologies like Kubernetes, Docker, Jenkins, and Azure DevOps for companies and Organizations like Reliance Jio, Oracle, Hitachi, United Nations for 1-year Contract each. ►Corporate Training◄ Have Delivered Training for 20+ Fortune 500 companies like Deloitte, Dell, Vodafone, Infosys, TCS, Redington, Allstate, Mercedes, Comcast, Bank of America, HiMedia, RBI, NPCI, BEL, CGI, Cognizant, Redbus, Sunlife Consulting, L&T. ►Content Creation◄ Worked as a Content Presentor and SME for Unlu.io, Programmer Writer for AMD, and Content Strategist for UpGrad (shooting technical videos with SMEs from Microsoft, Ola, and Walmart), preparing content, and illustrations for Higher Education Learning (Blockchain, ML). Learning Consultant for Emeritus. ►Finishing School Instructor◄ Taught at IIM's (Alteryx, SQL, Advanced Excel) and MICA (Analytics with Knime, PowerBI - 3 credits). Instructor at Globsyn Kolkata (Machine Learning), VJTI Mumbai, UTL, CodeAsylums Bangalore, MITE (Tech finishing schools). ►Education◄ I hold a bachelor's Degree in Computer Science & Engineering from the Maharaja Sayajirao University of Baroda (100 % Scholarship for being in Merit by Gujarat State Govt.) followed by PG Diploma in Applied Statistics from IGNOU. Able to do justice to multiple roles due to participation in extracurricular activities since school days. Was exposed to programming from grade 3, as my dad is a programming and Excel instructor, prepared for exams like IIT-JEE, GATE, NDA SSB, and GSOC, competed in hackathons, and did six internships ranging from a software developer intern at KiVi Health to chief event organizer at ACM IIT-Delhi. I Have published research papers in IEEE with college professors, served as a teaching assistant for algorithms, worked as a sales intern for MyScool Server Linux for education, written content for crash courses, conducted coding boot camps, and served as a QuizMaster.

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Frequently asked questions

How long do Deep Learning projects normally take?

The length of a project depends on many factors, including the scope of your project and the technical complexity of it. When you post a freelance Deep Learning project request on Codementor, you’ll have the option to indicate when you’d expect the project to be completed. We suggest chatting with the interested developers to ensure both sides are on the same page. For more information on how to post a freelance Deep Learning request on Codementor, check out our article.

How much does it cost to hire a freelance Deep Learning developer?

We don’t charge anything when you post a freelance hiring request for Deep Learning developers! You’ll have the chance to determine what the budget for your project is when you post the request. You’ll only need to pay the developer if you’re 100% satisfied with their work. Please know that Codementor charges a small service fee when a developer completes the job.

What makes Codementor Deep Learning developers different?

We do a comprehensive technical and communications screen of all Deep Learning developers at Codementor. Our network includes book authors, popular open source contributors, top Stack Overflow users and engineers at top tech companies. In addition, to continually ensure the quality of our freelancers, we regularly check in on existing Deep Learning developers’ user satisfaction rates.

What happens if I’m not happy with the freelancer’s work?

As a platform, we strive to ensure you’re always happy with your Deep Learning project’s results. If you’re unsatisfied with the results, you can choose to get a refund for the project. Additionally, you can contact our support team should you need any further assistance with your project.

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