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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.**
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.
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.
AWS Certified Solutions Architect and MLOps / DevOps Engineer with over 9 years of experience designing, deploying, and operating secure, scalable cloud and AI-driven platforms across AWS and Azure. Proven expertise in containerization and orchestration with Docker and Kubernetes (EKS, AKS, OpenShift), enabling high-availability, multi-cluster deployments and large-scale application modernization. Strong background in building end-to-end CI/CD pipelines using GitHub Actions, Terraform, and Helm to drive automation across infrastructure, application delivery, and machine learning workflows. Extensive hands-on experience in Python development, building production microservices with FastAPI and Flask, designing robust API architectures, and supporting real-time applications with WebSockets and streaming frameworks. Skilled in establishing MLOps pipelines, deploying and monitoring ML models in production, and optimizing GPU-based workloads for performance and cost efficiency. Experienced with vector databases, embedding-based systems, and large-scale PostgreSQL environments. Deep understanding of cloud security, observability, and disaster recovery planning.
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 Model Engineer, Operating System Developer, Principal Cloud & Infrastructure Architect with decades of hands-on engineering experience and 10+ years designing, modernizing, securing, and operating production AWS environments. I specialize in complex environments where **architecture, reliability, security, and hands-on troubleshooting** intersect. My work has included transforming single-server applications into highly available cloud platforms, designing Infrastructure as Code and CI/CD systems, leading zero-downtime migrations, operating mission-critical SaaS infrastructure, and supporting organizations through significant growth and ownership transitions. Many times I have served as a medium or long term technical consultant and infrastructure owner, working directly with executives, Product, Engineering, QA/Support, and business stakeholders while remaining hands-on with AWS, Linux, automation, security, and production incidents. More recently, I have applied the same production-first approach to AI infrastructure and agentic systems, building secure cloud environments and AI-enabled operational workflows rather than isolated prototypes.
I build the execution, data and backtesting infrastructure that lets a trading strategy run unattended, plus the LLM and agent systems around it, inside your repo, without needing your alpha. Lead developer at a Swiss fintech building automated trading systems. Founder and lead developer of a finance-and-AI software consultancy. Author of a Python open-source project with ~37,000 GitHub stars, featured on the Hacker News front page four times and endorsed by Mr Andrej Karpathy, co-founder of OpenAI. Published the video course "Hands-on Reinforcement Learning with TensorFlow" with Packt. I do not build "guaranteed profit" bots or sell signals. I build the systems that run yours safely, and I will tell you in the first fifteen minutes whether what you have is an infrastructure problem or a strategy problem. What people book me for: - Trading-system architecture and execution-path review: order management, partial fills and all-or-none orders, reconciliation after disconnects, persistent order state, kill switches, paper-trade-first deployment. - Exchange and broker connectivity: WebSocket and REST integrations (Alpaca, CCXT-supported venues, Binance), rate limits, idempotent order submission. - Backtesting infrastructure and the backtest-versus-live gap: fills, slippage and latency assumptions, replay fidelity, parameter search without overfitting. - Market making and liquidity tooling across venues. - LLM and agent systems for finance workflows: orchestration, evaluation pipelines, tool-use design, reinforcement-learning approaches where they actually fit. - Python systems engineering: asyncio, PostgreSQL, FastAPI and Django, production reliability. How a first session usually goes: you share the repository or a design, I ask three questions (budget and timeline; whether you already own the strategy, accounts and data; whether you want infrastructure or "a profitable bot"), and we spend the rest of the hour on the highest-risk part of your system. Longer work continues as a fixed-scope code-review job or an hourly engagement on this platform. Based in Bengaluru (IST), with daily overlap with European hours and the US-East morning. I reply to trading, fintech and AI requests within minutes when online. More at https://satwikkansal.xyz | Consultancy: https://zobyt.com
** 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.
I have total 10+ year experience in data science, machine learning, python, NLP. I am expert in GenAI, Agentic AI, AI Agents, Langchain, LangGraph, CrewAI, Mutli Agent AI, LLM, Prompt, statistics analysis, regression, classification, recommendation, prediction, NLP, data analysis, feature engineering, python programming.
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.
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