
2
2
Colombia
1 year of experience
I am a web and mobile application developer and a professional in mechatronic engineering. Beyond the way I describe myself, my career and my projects speak for themselves about the determination and versatility that define me. I have worked a large part of my professional career with ReactJS and Typescript, where to a significant extent, I was linked to different projects and companies from a fairly early stage of their idealization and creation, so I have a strong notion of materializing optimal scalability and performance in projects that are viewed in the long term. I independently launched web platforms and mobile applications to the IOS and Android stores, working with Flutter and Kotlin. The first is the Framework with which I work best in terms of applications that can be installed on a device. Lately I have been learning and carrying out LLM integrations under the Langchain and NextJS framework, which represent an appropriate way to work AI agents integrally from javascript/typescript.

# Kilo Code: Long Description ## The Problem As agentic engineering becomes standard, developers are tethered to their workstations to monitor long-running AI coding tasks and provide critical permissions. This bottleneck reduces productivity and prevents real-time responsiveness during urgent development cycles. ## The Solution: Remote Agentic Management Kilo Code transforms development by providing a secure Telegram-based management layer for your AI agents. You can monitor progress, authorize sensitive operations (like shell commands or file writes), and interact with your agent via natural language from any location. ## AMD Integration & Qwen3.6 At the heart of Kilo Code is the power of the AMD Developer Cloud. We leverage Qwen3.6, a state-of-the-art model with exceptional performance on complex coding tasks, reasoning, and tool-use capabilities. By utilizing the AMD MI300X GPU stack with ROCm, Kilo Code ensures ultra-low-latency inference, enabling complex agentic loops to run with remarkable speed. ## Flexibility with Local LLMs We prioritize developer flexibility. While optimized for AMD Cloud, Kilo Code natively supports local LLM execution via Ollama. Developers can maintain maximum privacy by keeping their code context local, while still leveraging the high-speed coding prowess of Qwen3.6 on their local AMD hardware or remote infrastructure. ## Architecture - **Kilo Core:** Manages the agentic lifecycle and planning. - **Telegram Interface:** Provides mobile-friendly remote orchestration, event notifications (SSE), and rich visualization (file trees, diffs). - **Inference Layer:** Uses Qwen3.6 via AMD ROCm/MI300X or locally through Ollama, delivering superior tool-use and reasoning performance. - **Security:** Integrated VS Code SecretStorage and chat-ID whitelisting to ensure secure remote interaction.
10 May 2026

application is a cutting-edge AI-powered solution designed to automate and optimize Quality Assurance (QA) scoring for customer support interactions while simultaneously enhancing roadmap generation through intelligent agent collaboration. It seamlessly integrates LLM's models with a structured workflow, ensuring efficient, data-driven decision-making for customer experience (CX) teams, product managers, and operational leaders. How It Works QA Evaluation Process: Users input a QA guide outlining their evaluation criteria. The app segments and analyzes conversations, extracting insights using AI embeddings and similarity scoring. AI models generate qualitative feedback and assign an overall score, making QA processes more efficient and objective. Roadmap Optimization Workflow: Users define an objective and assign relevant roles to AI agents. AI agents independently process the information, generate insights, and contribute to a collaborative solution. The final roadmap is synthesized and presented as a structured, actionable plan. Why This App is a Game-Changer ✅ Reduces Manual Effort: Automates traditionally labor-intensive QA scoring and roadmap planning. ✅ Enhances Accuracy: AI-driven scoring eliminates bias and ensures objective, consistent evaluations. ✅ Saves Time & Costs: Streamlines quality assurance and strategy execution for faster decision-making. ✅ Scales with Your Business: Works efficiently for small teams and large enterprises alike. ✅ Improves Customer Experience: Ensures support teams receive actionable feedback to enhance service quality.
23 Feb 2025