I'm currently available for freelance projects, contract work, and full time software engineering roles. Over the past few years, I've worked with startups and companies building AI powered products, web platforms, mobile applications, automation systems, chatbots, and voice AI solutions. My experience spans the entire product lifecycle from planning and architecture to development, deployment, and scaling. Some of the areas I've worked in include: • AI agents and multi-agent systems using LangGraph, AutoGen, CrewAI, and ReAct • Generative AI applications powered by OpenAI, Claude, DeepSeek, and Hugging Face • RAG systems, AI assistants, and custom chatbot solutions • Voice AI and IVR platforms using Vapi AI, Retell AI, and Twilio • Workflow automation with n8n, Zapier, Make.com, and custom API integrations • Full-stack web development with Next.js, React, and Vue.js • Cross-platform mobile development with React Native and Expo • Computer vision, OCR, AI avatars, and media-generation applications Tech Stack: Python, TypeScript, JavaScript, Next.js, React, Vue.js, React Native, LangChain, LangGraph, OpenAI, Claude, DeepSeek, Hugging Face, n8n, Zapier, Make.com, Twilio, Vapi AI, and Retell AI. I've had the opportunity to work on projects for companies across a variety of industries and collaborate with distributed teams in different parts of the world. I'm comfortable working across time zones and can provide overlapping hours with teams in North America, Europe, and Asia. If you're looking for an engineer who can help build, launch, or scale AI products, web applications, mobile apps, or automation solutions, I'd be happy to connect. Feel free to send me a message I'd love to learn more about your project or team.

Antigravity IDE update can unexpectedly replace the full IDE with a simplified white-background version (maybe that's Google's new 2.0? tbh I don't know) and how to restore the proper IDE.

Anthropic is reportedly getting ready to launch Orbit, a proactive briefing feature for Claude that pulls insights from your work apps and delivers time zone aware, actionable summaries. - Proactive briefings instead of reactive chat, less tab hopping - Opt-in setup, time zone aware delivery, feels like it is designed for real daily routines - Connectors like Gmail, Slack, GitHub, Calendar, Drive, and Figma, basically the modern knowledge work stack - Mentions of “Orbit apps” you can pin, hints at a mini dashboard experience inside Claude Cowork - Spanning both Claude and Claude Code, so summaries could include code and project context, not just email and meetings - Fits the bigger trend: OpenAI has Pulse, and similar digest features are showing up in Gemini and Perplexity, so proactive assistants are quickly becoming table stakes - The interesting twist is GitHub plus Figma, which screams developer and creative workflows, not just inbox management Read the full article here: https://www.testingcatalog.com/anthropic-is-working-on-orbit-its-upcoming-proactive-assistant/

Looks like Google is testing a new Gemini video generation tool called Omni, and it might be a step toward a single model that can handle both images and video. - Omni showing up in Gemini UI text, not just hidden code, so it could be a real product name soon - Screenshot line: “Powered by Omni” inside the video generation tab, which is a pretty loud hint - Today’s setup is split: Veo 3.1 for video, Nano Banana 2 and Nano Banana Pro for images - Omni might be a wrapper on top of Veo, a brand new Gemini video model, or the start of a true omni-model that outputs both images and video - If Google unifies image plus video generation, automation workflows get way cleaner, one API, one set of prompts, fewer handoffs - Competitive pressure is real in AI video right now, with ByteDance’s Seedance 2.0 leading some benchmarks - Google I/O 2026 (May 19–20) looks like the most likely stage for an official reveal If Omni ends up being one model for both image and video output, what would you guys automate first, ad creatives, product demos, or short-form content pipelines? Read the full article here: https://www.testingcatalog.com/google-is-testing-new-omni-model-for-video-generation-ahead-of-i-o/

Okay, this one made me do a double take: 12 million tokens in one context window is wild. Subquadratic just launched a new AI model architecture that claims to handle massive context more efficiently, which could change how we think about RAG, coding agents, research tools, and long-running automations. - 12-million-token context window available through an API - Subquadratic Selective Attention, built to avoid quadratic attention costs - Claimed linear scaling in compute and memory - 52x faster than dense attention at 1M tokens - 92.1% needle-in-a-haystack retrieval at 12M tokens - MRCR v2 score of 83, reportedly beating GPT-5.5 - Potentially less chunking, routing, and context stitching - Bigger working memory for AI agents and automation flows - Coding agent and deep research tool launching in beta - Still early, with big claims that need real-world testing What I’m watching here is whether huge context windows actually simplify automation, or whether we still need smart retrieval, memory, and workflow design around the model. Read the full article here: https://thenewstack.io/subquadratic-12-million-context-window/