AI Systems Engineer & ML Specialist

Natnael Fisseha

I build end-to-end AI systems, from machine learning pipelines and LLM-powered applications to the backend infrastructure and interfaces that make them work in production.

3+
Years Production Systems
7+
AI Applications Delivered
5.0 ★
Completed Upwork Rating
70+
Developers Mentored (GDG)
About Me

FromAIResearchtoProductionSystems

I'm a Software Engineering graduate from Addis Ababa Science and Technology University (AASTU), currently completing an MSc in Software Engineering. My work spans machine learning engineering, applied AI, and full-stack backend development.

At Gheero, I built production ML systems end to end: an early-warning classifier for task overdue prediction, a hybrid recommendation engine matching trainees to jobs using embeddings and skill scoring, a dynamic task allocation system for a live crowdsourcing platform, and a low-latency Amharic speech-to-speech pipeline with no external API dependencies. I also conduct research on RL-based tokenization for Amharic and data-efficient generative model training.

Alongside this, I run an independent consulting practice building AI-powered systems for real clients, with a 5.0 rating across completed Upwork contracts.

I am particularly interested in:

ML Engineering and Model DeploymentLow-Resource Language AI (Amharic, African languages)Retrieval-Augmented GenerationAgentic AI Systems and Workflow AutomationFull-Stack Backend Engineering
Experience

WhereI'veWorked

ML Engineer

Gheero AI Residency

Jul 2026 to Present
  • Optimized an Amharic banking voice assistant (PyTorch, llama.cpp, OmniVoice), reducing time-to-first-audio by 85% (9.02s to 1.2s) through asynchronous streaming, 4-bit quantization, and multi-GPU inference; increased LLM throughput 2.8x from 18.6 to 53 tok/s
  • Built RAG and hybrid recommendation systems (FastAPI, pgvector, MiniLM, Gemini API) over a 650+ skill taxonomy; achieved 48.1ms average query latency, 0.88 Precision@5, and 1.00 Hit Rate@5
  • Segmented 884,265 retail banking customers using K-Means, GMM, autoencoders, and PCA; validated a 3-cluster solution with bootstrap ARI 0.80 and 4-cluster hierarchical drill-down with 99.5% nesting stability
  • Trained an RL-based Amharic morphological tokenizer (REINFORCE, 29,867-verse corpus); achieved 0.952 morphological alignment at a 3,000-token vocabulary, outperforming BPE, WordPiece, and SentencePiece by up to 27 points
  • Built task-suitability and overdue-risk classifiers (CatBoost, XGBoost) achieving 0.857 and 0.712 ROC-AUC under leakage-safe forward-chaining chronological evaluation
  • Published empirical research on knowledge distillation for small language models (7.24M to 19.22M parameters), examining teacher-student domain transfer across the TinyStories corpus.

Applied AI Engineer

Independent Consultant

Jan 2025 to Present
  • Designed and deployed LLM-powered applications using RAG, embeddings, prompt engineering, and agentic workflows for clients across education, real estate, and business services
  • Built AI-driven educational systems with automated question generation, scoring pipelines, and curriculum-aligned RAG feedback
  • Built a voice-based travel planner integrating ElevenLabs, n8n, and LLM reasoning to generate and deliver personalized itineraries
  • Maintained a 5.0 rating across all Upwork contracts; clients highlighted production-ready delivery, error handling, and treating projects like their own product
★★★★★5.0 Rating · 100% Job Success

Available for contract hire & AI systems engineering

Hire Me on Upwork

Backend Engineer

Dynamic Technologies

Jul 2024 to Oct 2024, Jan 2026 to Present
  • Migrated a live production platform to an in-house Node.js and Hono.js architecture, reducing response latency by 80% with zero downtime
  • Designed PostgreSQL schemas, indexing strategies, and real-time data ingestion pipelines under a two-week delivery constraint
  • Built and containerized microservices with Docker and Kubernetes; enforced JWT auth, RBAC, rate limiting, and input validation across all endpoints

Technical Lead and Mentor

GDG on Campus AASTU

Dec 2024 to Jun 2026
  • Led a Node.js and AI/ML development track with 7 mentors and 70+ developers
  • Designed curriculum, coordinated capstone sprints across 15 teams, and ran structured technical evaluations
  • Facilitated sessions on AI/ML engineering, software architecture, and collaborative development
Featured Projects

AISystemsI'veBuilt

Kelem.app

Multi-Tenant School Management SaaS

A full multi-tenant SaaS platform with isolated data per organisation and role-based dashboards for administrators, teachers, students, and parents. Covers attendance, assessments, assignments, scheduling, announcements, parent-teacher communication, and analytics.

Next.jsTypeScriptTailwind CSSDjango REST FrameworkPostgreSQLRedisJWTTanStack Query
  • Multi-tenant PostgreSQL schema with full data isolation per school
  • JWT access and refresh token auth with Redis caching for high-frequency reads
  • Bulk data import pipeline for school onboarding
  • Analytics dashboards for administrators and role-specific views for all user types

AI B2B Lead Generation and Outreach Platform (Neuro)

Automated Prospecting and Outreach

End-to-end automation replacing manual prospecting, handling up to 100 leads per campaign.

n8nPostgreSQLDockerElevenLabsTwilioListmonkApifyGroqNext.js
  • Scrapes and enriches leads, scores prospects with Gemini, delivers personalized outreach via email and voice
  • Round-robin email rotation, Telegram bot dashboard for campaign management
  • AI-generated outreach websites built from each business's own data
  • Outbound voice calls through Twilio and ElevenLabs

Automated Web Monitoring and Data Processing System

Production-Ready Monitoring System

Production-ready monitoring system built with Playwright and Node.js, including a scalable backend and a clean monitoring dashboard.

Node.jsPlaywrightPostgreSQL
  • Session handling, error recovery, structured logging, and secure role-based access
  • Client review: "He delivered a production-ready solution... treated the project like his own product."

DMerang

Instagram Cold-DM Automation

Cold DM automation tool built to work within Instagram's policy limits, with lead scraping, scheduling by timezone, and multi-account support.

Next.jsPlaywrightPrismaPostgreSQLBetter Auth

Amazon E-Commerce Test Automation

End-to-End UI Test Automation

UI test automation framework covering key purchase flows with Page Object Model architecture, anti-detection browser config, screenshot capture on failure, and CI/CD-ready HTML reporting.

PythonPlaywrightpytest

Voice Travel Planner

Agentic Travel Assistant

A conversational travel planner that transforms natural voice dialogue into complete personalized itineraries delivered by email.

n8nElevenLabsNext.jsGemini
Research

TechnicalResearch&SystemsStudies

Empirical ML investigations, model compression, low-resource morphological NLP, and autonomous self-healing agent architectures.

Auto-cycling (5.5s)
Ablation & Loss Telemetry
Corpus: TinyStories (2.1M)
Validation Loss Comparison (Student vs Teacher Distillation):
ModelParamsTeacherVal Loss
Student S17.24MNone (Baseline)1.841
Student S1+KD7.24MGPT-2 (124M)1.862 (+0.021)
Student S519.22MNone (Baseline)1.512
Student S5+KD19.22MGPT-Neo (125M)1.538 (+0.026)
Key Empirical Finding:

Off-the-shelf teachers do not improve validation loss at any student size. Domain mismatch between general-purpose pretraining and targeted student corpora is the primary driver.

Optimizer: AdamW · LR: 5e-45 Student Checkpoints Evaluated
Technical Skills

Tools&TechnologiesIUse

ML and AI

PythonPyTorchScikit-learnXGBoostCatBoostHistGradientBoostingOptunaSHAPHugging Face TransformersHugging Face TokenizersGymnasiumStable-Baselines3FastEmbedpgvectorOpenAI APIGemini APIGroqElevenLabsPydantic

Agentic Systems and Automation

n8nAgentic WorkflowsWebhooksAPIsPlaywrightTwilioListmonkApifyElevenLabs

Backend and Full-Stack

Node.jsTypeScriptNext.jsReactFastAPIDjango REST FrameworkHono.jsPrismaBetter AuthPostgreSQLRedisMongoDBMySQLSupabaseREST APIsDockerGit/GitHub

Infrastructure

KubernetesAWS FundamentalsLinuxCI/CDVercelGitHub Actions
Credentials & Recognition

Honors, Leadership & Certifications

Verified academic excellence, community leadership, and specialized technical accreditations.

Honors & Awards

  • HackAtom Ethiopia 2024 Winner

    National Winner

    National hackathon, Rosatom & RUDN University partnership

    View Verification
  • Graduated with Very Great Distinction

    Academic Top

    Highest academic honor at AASTU

    View Verification
  • AASTU Presidential Award

    Conferred for outstanding institutional contributions

    View Verification
  • Dean's Award for Academic Excellence

    School of Electrical & Mechanical Engineering

    View Verification
  • Hult Prize 2026 Semifinalist

    Global social entrepreneurship competition

    View Verification
  • GAIA 2025 Competition Participant

    Global AI Agent benchmarking challenge

    View Verification

Leadership & Community

  • Technical Lead and Mentor, GDG on Campus AASTU

    70+ Devs Mentored

    Mentored 70+ student developers across 7 specialized mentors and 15 capstone teams. Designed structured technical evaluation rubrics and hands-on workshops.

    View Verification
  • Capstone Technical Evaluation Board

    Conducted sprint reviews, code architecture assessments, and production readiness checks for collegiate software teams.

Professional Certifications

  • DataCamp Certifications (2024–2025)

    5 Track Certificates

    Working with Hugging Face, Introduction to Embeddings with OpenAI API, LLMOps Concepts, Developing AI Systems with OpenAI, Prompt Engineering with OpenAI API

    View Verification
  • Fundamentals of Data Science

    Cisco Verified

    Cisco Networking Academy: Data science methodologies, data analysis pipelines, Python statistical modeling.

    View Verification
Let's Connect

Ready to Build Reliable AI Systems?

Open to AI/ML systems engineering, LLM application architecture, and high-performance backend roles. Available for direct client contracts and consulting via Upwork.

Current Availability

Accepting new consulting projects, AI system deployments, and full-time technical opportunities.