Hi, I'm Solo Shun.
I'm an AI/ML Engineer
I design and deploy intelligent systems that solve real-world challenges across AI and finance. From building autonomous AI agents and production-scale ML & Data pipelines to developing quantitative trading systems and algorithmic strategies for financial markets. Let's build the future together!
About.
Hey there! I'm Solomon Eshun (but I love to be called Solo Shun 😄). I'm an AI/ML Engineer with a strong Software Engineering foundation, currently working as an DataOps Engineer at EnBW (via Ishango AI, London UK) and Founding ML Engineer at Noeud.
I specialize in building advanced AI systems that solve real-world problems - from autonomous research agents that rank among the top globally, to production-scale DataOps and MLOps pipelines serving enterprise European clients.
At MinoHealth AI Labs, I built the Moremi Deep Research Agent, achieving a RACE score of 46.3 on the DeepResearch Bench (ranked 3/18 agents). I've architected systems processing 20,000+ molecules and protein sequences in multi-day runs, and co-authored 4 research publications in 2025 on AI-driven drug discovery and biosecurity.
My tech stack spans PyTorch, TensorFlow, FastAPI, Docker, and the full DataOps and MLOps toolchain (DataDog, Prefect, MLFlow, CI/CD etc.). I'm also proficient in full-stack development with React, Next.js, Node.js, Prisma, and building scalable distributed systems.
When I'm not training models or debugging pipelines, I'm deeply into the world of quantitative finance and algorithmic trading - building forex trading strategies with MQL5, Python, MetaTrader, and TradingView. I love applying machine learning to financial markets and exploring time-series forecasting.
Outside of AI and fintech, I'm a gamer at heart 🎮 - gaming helps me set my mind free and recharge. I'm deeply passionate about motivating people to bring out the best in themselves, reading self-help books for personal growth, and listening to motivational talks from my mentors. I also love public speaking and seize every opportunity to inspire and share knowledge on stage.
I mentor at bootcamps, contribute to open-source AI education projects, and enjoy watching science and tech videos to stay curious. Let's connect and build something amazing! 🚀
Programming, AI/ML & Data Science
DataOps, MLOps, SRE & DevOps
Full-Stack, Design & Trading
Projects.
Unified Bioinformatics Orchestration Infrastructure
Scalable distributed infrastructure unifying 20+ heterogeneous bioinformatics tools. Powers autonomous agents, web platforms, and internal analytics.
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Moremi Bio Agent
Autonomous AI agent leveraging the unified bioinformatics infrastructure for independent drug discovery research. Co-authored 4 publications in 2025.
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Moremi Biokits
In DevelopmentInteractive web platform with 3D molecular visualization, providing researchers intuitive access to the unified bioinformatics infrastructure.
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A complete modernization of the DS.AlgoDeck project. An interactive visualization platform for understanding algorithms through step-by-step animations.
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Experience.
Supporting the development of an internal data platform for a leading European energy provider. My work focuses on building shared abstractions and guardrails that standardise data pipeline development across teams. Instead of writing ad-hoc orchestration logic, downstream users rely on platform-managed libraries that handle data quality checks, retries, observability, alerting, and documentation by default. This enables reliable, scalable, and compliant data workflows in regulated, high-availability environments.
Leading research and prototyping of real-time financial forecasting systems and deep time-series models. Designing end-to-end pipelines from data ingestion to deployment and continuous retraining for live market prediction systems.
Engineered unified, containerized infrastructure integrating 20+ bioinformatics and computational biology tools (written in C++, Python, Java and Perl) with asynchronous task orchestration (Celery, RabbitMQ, Redis). Architected Moremi Bio Co-Researcher, Moremi Agent and Moremi Search powering research workflows on moremi.ai platform. Built Moremi Deep Research Agent (RACE score 46.3, ranked 3/18 on DeepResearch Bench) and designed Moremi Bio Agent, an autonomous research agent technology behind 4 co-authored 2025 research publications including a double-blinded validation study with Imperial College London, Infectious Disease.
Deployed YOLOv12 computer vision model for cashew stress detection across 42 farms in 28 communities as part of GIZ, MOVE, and FAIR FORWARD funded CADI AI pilot. Led end-to-end drone mapping operations, collecting and annotating 148GB agricultural dataset.
Delivered the 2025 Generative AI & Python Summer Camp for students from Montserrat, Grenada, and Dominica. Taught hands-on sessions on Python programming, large language models, vision-language models, and AI agents.
Publications.
Moremi Bio Agent: Using Neisseria meningitidis Reference Data For The Double Blinded Validation of A General Purpose Biology-Trained Reasoning Model for Pathogen and Antigen Discovery
First-of-its-kind AI system demonstrating blind antigen inference from antibody sequences. Moremi Bio Nano successfully identified experimentally validated antigens in 3 out of 4 independent tests, correctly predicting SARS-CoV-2 Spike RBD, Neisseria meningitidis fHbp v1.1, and SARS-CoV Spike as top-ranked candidates—marking a breakthrough in reasoning-driven antigen discovery without prior biological context.
Moremi Bio Agent: Leveraging Agentic Large Language Model for the Discovery of Broad-Spectrum Antibiotics for Enterobacteriaceae
Autonomous AI pipeline for dual-target antibiotic discovery addressing antimicrobial resistance. Generated 1,002 candidate molecules targeting both FabI enzyme and AcrAB–TolC efflux pump simultaneously. Results: 774 compounds passed ADMET benchmarks, 391 exhibited moderate binding to both targets, and 60 top candidates (score ≥ 0.8) showed favorable drug-likeness with minimal toxicity—demonstrating feasibility of AI-driven antibiotic discovery for multidrug-resistant pathogens.
Critical biosecurity assessment revealing dual-use risks of LLMs in biodesign. Generated 1,020 novel toxic proteins and 5,000 toxic small molecules, with all proteins scoring high in toxicity and several closely matching known toxins (ricin, diphtheria toxin, snake venom proteins). Findings challenge claims that LLMs cannot design bioweapons and underscore the urgent need for robust governance and technical safeguards to balance innovation with biosecurity imperatives.
Moremi Bio Agent: A Large Language Model for General-Purpose High-Throughput De Novo Protein and Compound Discovery, Design and Validation (Early Validations)
A breakthrough multimodal foundation model (mLLM) designed for Artificial General Intelligence for Biology (AGI4Bio). Moremi Bio functions as a general-purpose system for high-throughput, autonomous discovery, design, and in-silico validation of novel proteins and small molecules. By eliminating human-in-the-loop bottlenecks, the agent achieves up to an 11,000x speed improvement over traditional computational methods—reducing discovery timelines from months to minutes for targets including Malaria, HIV, and various cancers.
Moremi Bio Agent: Application of A Foundation Model and End-to-End Automation in the Design and Validation of Monoclonal Antibodies Targeting Plasmodium falciparum Invasion Complex
AI-driven antibody design pipeline targeting malaria's invasion mechanism. Generated 999 monoclonal antibodies targeting the AMA1-RON2 complex, with 864 showing successful target interactions. Achieved exceptional binding affinities with dissociation constants (Kd) in femtomolar to attomolar range (ΔG: -116.8 to -5.6 kcal/mol), indicating highly stable interactions. Epitope mapping revealed conserved regions for cross-strain efficacy, establishing a scalable framework for therapeutic development against malaria and other infectious diseases.
Activities & Certifications.
Conferences & Seminars
Volunteer & Mentorship
Certifications & Awards
GlobalCode Certificate
Intensive programming bootcamp focused on hardware programming and Python
Professional Certificate in Robotics, Arduino & IoT
Comprehensive training in embedded systems and IoT development
Best Participant Award
Awarded for exceptional performance and innovation in robotics and IoT project
Contact.
Gallery.

Building noeud infratructure... Burning the midnight candle🕯️
2026
Late nights❤️🔥🥹... Rest at the end, not in the middle!!!
2026
Remote work at EnBW
2026
Remote work at EnBW
2026
Remote work at EnBW
2026
Remote work at EnBW
2026
Remote work at EnBW
2026
At DS-I Africa Consortium Meeting 2025
2025
At DS-I Africa Consortium Meeting 2025
2025
At DS-I Africa Consortium Meeting 2025
2025
Presenting on Software Engineering in the Age of AI at Academic City University
2025
Presenting on Software Engineering in the Age of AI at Academic City University
2025
Mentoring students in Python and AI integration at University of Cape Coast
2025
At DS-I Africa Consortium Meeting 2025
2025
At DS-I Africa Consortium Meeting 2025
2025
Debugging students code with co-intstructor Zenas, University of Cape Coast
2025
Debugging students code with co-intstructor Zenas, University of Cape Coast
2025
Mentoring students in Python and AI integration at University of Cape Coast
2025
LoRA fine-tuning workshop at IndabaX Ghana, Ashesi University
2025
LoRA fine-tuning workshop at IndabaX Ghana, Ashesi University
2025
LoRA fine-tuning workshop at IndabaX Ghana, Ashesi University
2025
Best Participant Award for exceptional performance and innovation in Robotics and IoT
2023
Best Participant Award for exceptional performance and innovation in Robotics and IoT
2023
Showcasing the award-winning project at the Robotics and IoT TransforME exhibition
2023
Showcasing the award-winning project at the Robotics and IoT TransforME exhibition
2023
Receiving the certificate for the GlobalCode 3-week Programming Camp (Raspberry Pi & Python)
2024
Presenting ActiveTrack at the GlobalCode Project Display: An AI-driven fitness tracker integrating IoT, LSTM models, and open-source LLMs
2024
Selfie at my first drone mapping site in the Bono Region for the CADI AI pilot.
2025
With teammates Donald and BoBT and a local farmer during field operations.
2025
With teammates Donald and BoBT and a local extension officer during field operations.
2025
With teammates Donald and BoBT and a local extension officer during field operations.
2025
First landing in the Savannah Region with the team for agricultural data collection.
2025
View of Accra from the plane window during the flight back from Sunyani after CADI AI field operations.
2025
On the field with the drone bag; the metal fences here protect yams from hungry cattle😅!
2025
Back at Accra airport with the team after a successful drone mapping mission.
2025
Operating the DJI Phantom 4 Pro with the team, a farmer, and an extension officer.
2025
Teaching Python and Generative AI to students from Montserrat, Grenada, and Dominica during the Runmila AI Summer Camp.
2025
Conducting a hands-on session on Large Language Models and AI agents via Google Colab.
2025
Featured linkedin post by karaAgro AI x GIZ Ghana on a successful CADI AI pilot.
2025
Featured linkedin post by GIZ Ghana on a successful Global Code 2025 Bootcamp.
2025