Naol Tamrat
Building production systems from Next.js frontends to LLM-powered pipelines
About Me
Full-Stack Developer and AI Engineer with experience building production systems across the stack — from Next.js frontends to Django APIs to LLM-powered pipelines with LangChain and LangGraph.
I'm an A2SV fellow (top 1% of applicants, Google-backed), solved 600+ problems on LeetCode, and hold a BSc in Software Engineering with a 3.63 GPA and Presidential Award.
Currently building medical document processing APIs and AI pipelines at Hydrus.ai. Previously cut LLM costs by 67% at Fluid AI and led frontend development at Eskalate.
Languages
Frontend
Backend
AI / ML
Tools
Experience
Where I've worked and what I've built
Hydrus.ai (via SDL Engineering client engagements)
CurrentFull-Stack & AI Engineer
Oct 2025 – Present · Remote
Attian: Executed a pixel-perfect Framer-to-Next.js migration, replicated design motion, and architected a 5-schema Sanity CMS with automated lead capture and ISR publishing workflows.
Fluid AI
AI Engineer & Backend Developer
Feb 2025 – Aug 2025 · Dubai (Remote)
Cut LLM API costs by 67% and response time from ~9s to ~3s by building a response interception system that bypasses LLM calls for known structured outputs from tools like Maps, Calendar, and Hotels.
Eskalate
Project Lead & Frontend Developer
Aug 2024 – Jan 2025 · Addis Ababa, Ethiopia
Led product direction for eskalate.io, planning roadmaps and executing Agile sprints based on 90+ developer interviews.
Eskalate
Frontend Developer
Oct 2023 – Jul 2024 · Addis Ababa, Ethiopia
Architected the frontend from scratch — folder structure, Redux/RTK Query state layer, refresh token system, coding guidelines, linters, CI/CD, and GitHub configurations.
Freelance
Web Developer
Jan 2024 – Apr 2024 · Addis Ababa, Ethiopia
Designed and developed three responsive websites — two ministry sites and a coffee export company site — each tailored to distinct audiences and business needs.
Projects
Things I've built and shipped
AI campaign intelligence platform that unifies Google, Meta, and Bing ad data into ML-powered planning, simulation, and creative tools for PPC account teams.
- • Built a data pipeline ingesting and unifying 58,000+ rows of ad performance data across Google, Meta, and Bing into BigQuery for cross-platform analytics.
- • Trained and deployed three platform-specific ML regression models on 36,500 rows to power a budget simulator and allocator for predicted spend efficiency.
- • Built a RAG campaign creator with Qwen3-VL-8B embeddings, BigQuery vector search over 688 historical ads, and a context-aware GPT assistant for anomaly analysis and creative generation.
Full-stack expense sharing and personal finance platform with secure read-only financial data access for AI assistants.
- • Built authenticated workflows for groups, personal spending, settlements, custom categories, budgets, notifications, and profile settings.
- • Developed analytics views with scoped filters, trend charts, category/group/payer breakdowns, biggest-expense drilldowns, and a searchable expense ledger.
- • Implemented a read-only MCP integration with API-key authentication and Claude-compatible tooling for safe AI analysis of expenses, balances, and budgets.
Full-stack career operating system for reusable profile content, tailored resume variants, and print-ready application documents.
- • Built authenticated profile and resume-variant workflows with API-first editing endpoints.
- • Designed a reusable content model for canonical profile data, variant overrides, visibility rules, and template styling.
- • Implemented live template-backed resume previews with persisted style controls, print-ready rendering, and a foundation for PDF export and AI resume review.
Award-winning e-commerce pharmacy platform addressing medicine accessibility in Ethiopia. 1st place at Ethio-Health Hackathon.
- • E-commerce platform with integrated inventory and delivery system.
- • Two React Native mobile apps (customer and delivery) with OpenStreetMap.
- • Next.js role-based web dashboard for multi-pharmacy management.
Full-stack Inventory Management System for a fashion boutique with AI-powered assistant, sales analytics, and role-based access control.
- • Product catalog with variant management (sizes, colors), real-time stock tracking, and low-stock alerts.
- • AI assistant powered by LangChain/LangGraph + Google Gemini for natural language inventory and sales queries.
- • Sales analytics dashboard with revenue trends, top-selling products, and inventory distribution charts.
Let's Work Together
Open to full-stack, backend, and AI engineering roles. Let's build something great.