Mohammed Affan Software Developer · Known online as Itachi Bengaluru, India 1824.itachi@gmail.com github.com/Itachi-1824 LinkedIn: Mohammed Affan PROFESSIONAL PROFILE Software developer working across AI systems and the infrastructure around them. At Pollinations.ai, contributes agent interfaces, MCP tooling, retrieval, and isolated execution; at Myceli.ai, builds AI workflows and automation. Independent work spans model research, Rust systems, evaluation environments, and web, mobile, and 3D applications. PROFESSIONAL EXPERIENCE Pollinations.ai Feb 2025 – Present Developer · MLOps & AI Infrastructure Build AI agents, model integrations, APIs, and workflow automation for the Pollinations platform. Extended the MCP server with tools for image batches, video generation, multimodal analysis, transcription, search, and pricing; added dynamic model discovery and API-key authentication. Contribute to Polli across Discord, GitHub, and OpenAI-compatible APIs, connecting repository search, session context, caller-scoped tools, model routing, and streamed responses. Moved repository embeddings into Cloudflare Vectorize with incremental indexing, batched embedding requests, and removal of vectors for deleted files. Replaced per-user database update subprocesses with batched operations and concurrent API validation; isolated Cloudflare shell execution in disposable containers without caller credentials. Myceli.ai Feb 2025 – Present Developer · AI Systems & Automation Connect AI infrastructure through automations and workflows, connecting models, services, and agent modules across cloud and local environments. INDEPENDENT RESEARCH & DEVELOPMENT Ouroboros 2026 · Independent researcher & developer · Research in development Develop language-model research prototypes in PyTorch under local hardware constraints; retain unpublished architecture and implementation details privately. Evaluate mechanisms independently against explicit baselines; document ablations, limitations, and negative findings in a public research notebook. Public output is a research log. No published paper or public benchmark result is claimed. Sylph 2026 · Independent systems developer · Private implementation in development Develop a Rust-based AI runtime exploring local inference, task-driven learning, and peer-to-peer exchange of model adapters. Separate model backends through an inference contract; implement adapter compatibility and payload-integrity checks in the exchange path. Develop adapter-composition checks and adversarial tests, with local and Kubernetes/Helm deployment tooling. Public overview available; implementation remains private. Mohammed Affan Engineering projects & technical background SELECTED ENGINEERING PROJECTS Memory-Arc 2025 · Independent developer · Public Python implementation Built configurable memory infrastructure connecting recent conversation history to persistent vector retrieval, with AI, heuristic, hybrid, and disabled processing modes. Separated configuration, JSON persistence, asynchronous memory interfaces, and model-provider adapters. Repository intelligence 2026 · Independent developer · Private Rust tooling in development Develop local repository-analysis tooling using Rust, Tree-sitter, SQLite, and FTS5 for language structure, persistence, and evidence retrieval. Build explicit validation context to distinguish stored results from evidence about the current source state. Agent evaluation environments 2026 · Environment developer · Public OpenEnv hackathon projects Built simulation environments for evidence-based investigation, with procedural scenarios, MCP tools, state transitions, and reward components. Added adversarial tests for reward shortcuts and evidence gathering; developed an adversary that advances during investigation and adapts to containment actions. Application engineering 2026 · Application developer · Private web, mobile & 3D implementations Built a Flutter records and reporting application with Supabase integration, insights screens, PDF tooling, and automated builds. Developed a Next.js presentation builder with research, outline, image-generation routes, streamed results, and editing interfaces. Built SceneForge with typed scene descriptions, incremental JSON parsing, and streamed updates to an interactive Three.js scene. TECHNICAL SKILLS Languages: Python, TypeScript / JavaScript, Rust, Dart, SQL. AI & MLOps: PyTorch, model fine-tuning, local inference, model deployment, MCP, agent orchestration, RAG. Infrastructure: Cloudflare Workers, Vectorize, D1, Docker, Kubernetes, Helm, Linux, GitHub Actions. Applications & data: FastAPI, React, Next.js, Flutter, Three.js, Qdrant, SQLite, Supabase. EDUCATION Diploma — AI/ML pathway Pursuing · 5th semester MS Ramaiah Polytechnic SELECTED CONTRIBUTIONS · POLLINATIONS.AI Indexing · PR #12602 — Changed paths are reindexed; deleted paths have their vectors removed. Isolation · PR #14787 — Shell work runs behind an explicit container boundary. Streaming · PR #14438 — Clients can receive incremental output through a familiar API interface.