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**📝 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.**
I’m a Technical Lead and Full-Stack Developer with 17+ years of experience delivering robust web applications and SaaS platforms. I have led engineering teams through complex projects, balancing hands-on development with mentoring and process improvements to consistently meet aggressive deadlines. Notably, I helped scale infrastructure and improve performance for SaaS products used by tens of thousands of users. I excel at driving feature delivery end-to-end—whether implementing APIs, optimizing workflows, or guiding teams—as a dependable executor and problem solver.
Certified in UiPath, Agentic AI and Microsoft Power Platform, with 15 years of IT experience in analysis, design, development, integration, testing, and maintenance . Proven expertise in designing and implementing end-to-end Robotic Process Automation (RPA) strategies for web, desktop, mainframe, PDF, SharePoint, and Excel applications using UiPath, integrated with Microsoft and Google OCR technologies. Delivered 200+ UiPath RPA bots globally, with major projects for US clients, ensuring on-time, quality delivery. Skilled in Microsoft Power Platform – including Power Automate Flows and Power Automate Desktop. Hands-on experience in LLM, RAG, Prompt Engineering, Agentic Automation, and AI Agents.
Is your AI-powered MVP built on a fragile 'vibe-coded' foundation? Are you struggling to scale a prototype that was built with lightning speed but is now plagued by bugs, security holes, and technical debt? I transform brittle AI prototypes into robust, **production-ready applications**. As a senior AI engineer specializing in the **Node.js** and **React** ecosystem, I bridge the gap between rapid, AI-assisted development and the disciplined engineering required for scalable, secure software. But robust software is only half the battle. The other half is making it *work for your business*. I design and implement **intelligent automation workflows** that connect your apps, eliminate manual tasks, and free up your team to focus on high-impact work. Whether you need to rescue a failing project, automate a core business process, or build a scalable MVP from the ground up, I provide the expert oversight to ensure your AI initiatives deliver real, measurable value. **My Core Services:** * **🤖 AI Code Rescue & Remediation:** I conduct deep **AI code audits** to debug, refactor, and secure fragile codebases (especially those built with LangChain.js). I turn unmaintainable prototypes into stable, scalable assets ready for real users. * **⚙️ Intelligent Workflow Automation & Integration:** I design and build digital assembly lines for your business. I offer a full spectrum of automation solutions: * **Rapid Integration:** Using **Zapier, Make.com & n8n** to connect your existing tools and solve immediate process bottlenecks. * **Custom API Development:** Building custom **Node.js** APIs and webhooks to connect proprietary systems or handle complex logic that no-code tools can't. * **AI-Powered Decisions:** Infusing your workflows with intelligence using the **OpenAI API** to triage support tickets, qualify sales leads, or generate content automatically. * **🚀 Custom AI Solution Development:** I architect and build bespoke AI solutions from scratch, from **Custom GPTs** and intelligent **AI Agents** to complex RAG (Retrieval-Augmented Generation) pipelines that leverage your private data. * **👨🏫 AI Engineer & Career Mentorship:** I provide 1-on-1 coaching to help developers navigate the AI landscape, master tools like LangChain.js, and build a successful career in AI engineering and automation. **My Tech Stack:** * **Languages:** Node.js, TypeScript, JavaScript * **Frameworks:** React, Next.js, Express.js, NestJS * **AI / LLM:** LangChain.js, OpenAI API, LlamaIndex, Vector Databases (Pinecone, Qdrant) * **Automation Platforms:** Zapier, Make.com, n8n Ready to move past the prototype phase and build a real business? **Send me a message with your project details or book a session to get started.** --- ### Service Packages * **Package 1: AI Code Audit & Production-Ready Roadmap** * **Description:** Have an AI-generated MVP that feels unstable? I'll perform a comprehensive review of your codebase. You'll receive a detailed report identifying security vulnerabilities, performance bottlenecks, and a concrete, actionable roadmap to make your application **production-ready**. This is the perfect first step to de-risk your project. * **Package 2: Intelligent Automation Workflow** * **Description:** Let's put a core business process on autopilot. We'll map out a high-impact workflow and I'll build a robust automation to solve it. Ideal for **automating lead qualification**, **triaging customer support tickets**, or **streamlining content pipelines** using the best tool for the job—Zapier, Make, or custom Node.js scripts. * **Package 3: Scalable AI MVP Development** * **Description:** Need to build an MVP the *right* way? I'll architect and develop a **scalable MVP** from day one, using professional, spec-driven development practices. We'll build a strong foundation with clean, documented code and a modern stack (Node.js, React) to avoid the technical debt that plagues "vibe-coded" projects.
Business Intelligence Engineer with 10+ years of Looker/LookML experience and 1 year of Tableau experience. Former data scientist, web developer, and operations analyst. I'm happy to help you with building analytics solutions, whether it's just some quick questions or a longer consulting arrangement. I have worked within FAANG teams and other big tech organizations and have a great understanding of how things *should* work when the right structures are in place. I've seen enough examples of things breaking to have a good "sixth sense" with troubleshooting and take pride in my ability to solve urgent issues.
Senior AI Engineer and Solution Architect with 15+ years of software engineering experience and 5+ years building enterprise AI solutions. Specialized in Generative AI, LLMOps, Agentic AI, Retrieval-Augmented Generation (RAG), AI Assistants, and scalable AI backend architectures. Built production-grade AI platforms for healthcare, fintech, and SaaS organizations using Python, FastAPI, OpenAI GPT/ChatGPT, Claude, Gemini, LangChain, LangGraph, vector databases, and cloud-native technologies. Experienced in architecting secure AI applications that protect sensitive information through authentication, authorization, encryption, audit logging, role-based access control, and privacy-by-design principles. Familiar with developing software for healthcare environments and implementing engineering practices aligned with HIPAA requirements for handling protected health information (PHI). Core Expertise • OpenAI GPT/ChatGPT, Claude, Gemini • Generative AI & LLMOps • AI Agents & Agentic AI • Retrieval-Augmented Generation (RAG) • Prompt Engineering & Function Calling • LangChain, LangGraph & Spring AI • FastAPI & Python • Vector Databases (Pinecone, pgvector, FAISS) • AI Guardrails & Conversational Memory • Secure API Design & OAuth2/JWT • Privacy-by-Design & Healthcare AI • AWS, Kubernetes & CI/CD Available for remote full-time and consulting opportunities across EST, PST, CET, and IST time zones.
Senior Software Engineer with extensive experience **building full-stack** SaaS products, internal tools, self-service workflows, and customer-facing platforms across fintech, healthcare, ecommerce, logistics, and crypto. Strong in **React, Next.js, TypeScript, GraphQL, APIs, and backend-driven** product experiences, with experience designing frontend architecture, implementing complex user workflows, and integrating product interfaces with backend systems. Skilled at turning ambiguous requirements into technical designs, implementation plans, and shippable software. **Comfortable using AI-assisted development tools** to accelerate implementation, debugging, refactoring, and product iteration.
Data engineer | Machine Learning Engineer | Software engineer with proven record of 10 years in building data strategy and delivering ML/AI and data solutions
AI Systems Architect, GTME, CSA, SRE, and Fractional CTO helping organizations leverage custom AI, autonomous agents, and cloud infrastructure to build products faster, automate operations, and scale efficiently. Expert in custom AI model development, fine-tuning, RAG implementations, multi-agent systems, AI-powered workflow automation, LLM integration, cloud architecture, cybersecurity, and high-availability SaaS operations. With decades of hands-on engineering experience and deep expertise in modern AI tooling, I bridge the gap between traditional software engineering and next-generation AI systems. I build production-ready AI solutions that deliver measurable business outcomes—not demos, prototypes, or hype. From custom AI platforms and autonomous agent ecosystems to cloud-native SaaS infrastructure and mission-critical production environments, I help organizations deploy secure, scalable systems that create immediate operational leverage. Extensive NDA obligations limit what I can publicly share, but my experience spans startups, growth-stage companies, enterprise organizations, and large-scale SaaS platforms operating under demanding uptime, privacy, and security requirements.
** Full refund if I fail to solve the problem.** Experienced Software Architect, Data Scientist and a polyglot programmer with 9+ years of experience in writing production software code using NodeJS, Go, C# .NET, Python, R, JavaScript, Java, C/C++, and others . In my stint at Research Lab, I worked on building Chatbots, Augmented Reality powered apps, Data Science and Machine Learning. I love explaining complicated things in the most simple way.
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