Hyacinth A.

About Me

Hyacinth is a highly skilled AI/ML Engineer and back-end developer with 6+ years of experience delivering AI/ML solutions and building scalable back-end systems across various domains and industries such as fintech, SaaS, and Generative AI platforms. He is an expert in end-to-end solution design, back-end development, model development and deployment, cloud and MLOps practices, and Generative AI. Hyacinth's experience includes roles at AkwaCash, NextGen Materials, JoAmpsConsult, EstiloAI, and Webicient.

AI, ML & LLM

Artificial Intelligence Machine Learning Machine Learning Operations (MLOps) Pytorch

Backend

Database

PostgreSQL MongoDB Vector Databases

DevOps

Google Cloud Platform (GCP) Amazon Web Services (AWS)

Workflow

GitHub Actions

Other

Large Language Models Retrieval-augmented Generation (RAG) Webhooks Natural Language Processing (NLP) Data Science Data Engineering

Work history

AkwaCash
AkwaCash
Founder & Back-end Developer
2025 - Present
Kumasi, Ghana
  • Automating recurring payments and subscriptions via mobile money in Ghana.

  • Developing back-end systems and fintech platforms.

  • Architected and built a scalable FastAPI back end with MongoDB, JWT auth, RBAC, and async logic for high throughput.

  • Engineered mobile money payment integrations with retry logic, real-time updates, and async background processing (Cloud Tasks, Pub/Sub, Cloud Scheduler).

  • Designed indexed MongoDB schemas and optimized queries to support 1,000+ concurrent payment transactions.

  • Built secure REST APIs for internal services, third-party integrations, and USSD flows for offline users.

  • Automated deployments with Docker and GitHub Actions CI/CD on GCP, integrating monitoring, logging, and alerting.

  • Managed the full back-end lifecycle, from authentication to Webhook orchestration, ensuring seamless recurring payments with a 98% renewal success rate and <1% churn due to payment failures.

Back-end Development FinTechFastAPIMongoDBJWT authentication Role-based Access Control (RBAC) AsyncPub/Sub Cloud Scheduler Cloud Tasks Query Optimization REST APIs Third-party Integration USSDDockerGitHub Actions CI/CD GCPWebhookPythonJSON Web Tokens (JWT)
NextGen Materials
NextGen Materials
AI Engineer & Back-end Developer
2025 - 2025
Remote
  • Designed and deployed a domain-optimized LLM pipeline (RAG), reducing lithium brine analysis time.

  • Built scalable back-end services on AWS (App Runner, S3, CodeBuild, SQS) with Docker, ensuring secure, automated deployments and high availability.

  • Implemented hybrid data management with PostgreSQL (structured data) and Pinecone (Vector DB) to enable context-aware semantic search.

LLM RAG AWSDockerPostgreSQLPinecone semantic search Back-end Developers AI Large Language Models (LLMs) Retrieval-augmented Generation (RAG) AWS S3AWS CodebuildAWS SQSAWS App Runner Data ManagementVector db
JoAmpsConsult
JoAmpsConsult
Founder
2024 - 2025 (1 year)
Remote
  • Provided expert AI consulting and delivered tailored AI solutions.

  • Specialized in Generative AI, LLMs, and comprehensive end-to-end systems.

  • Built autonomous AI agents for a VC firm to automate data collection, analysis, and summarization.

  • Reduced manual research time by 75%, delivered real-time portfolio insights, and improved deal flow evaluation.

  • Designed and deployed a WhatsApp-based AI assistant, resolving 80% of customer queries autonomously and cutting response times by 90%, boosting customer loyalty.

AI LLMs Generative AI Backend DevelopmentCloud ComputingMachine LearningPostgreSQLGemini Retrieval-augmented Generation (RAG) MongoDBAWSGCPAl Agents
EstiloAI
EstiloAI
Generative AI Engineer
2024 - 2024
Kumasi, Ghana
  • Architected a web widget + WhatsApp assistant, enabling customers to search and shop using natural language.

  • Built a multimodal LLM pipeline to extract attributes when brand upload outfits and drive semantic search across 2K+ catalog items.

  • Integrated HeyBeauty's 2D avatar engine, allowing users to preview recommended outfits on themselves with real-time virtual try-ons.

  • Achieved 80% automation of all incoming queries and 90% faster response times, production-deployed on AWS with autoscaling, CI/CD, and observability for real-time reliability.

LLM LangChain Qdrant PostgreSQLGemini semantic search AWSGenerative AI Langgraph Large Language Models (LLMs) B2BCI/CD
Webicient
Webicient
AI/ML Engineer
2023 - 2024 (1 year)
Remote
  • Delivered scalable, reliable AI-powered knowledge workflows by developing Besti, an LLM chatbot platform, overseeing Python back-end and AI architecture for enterprise usage.

  • Integrated multiple data sources, including documents, PDFs, websites, sitemaps, and cloud storage, to provide context-rich and accurate insights.

  • Built scalable FastAPI services with real-time streaming via Pusher, containerized with Docker, and deployed to GCP Cloud Run with automated monitoring dashboards in Grafana.

AI LLM PythonFastAPIDockerGCPMySQLLangChain Langgraph Pinecone PusherLarge Language Models (LLMs) Machine LearningGenerative AI MLOpsMachine Learning Operations (MLOps) Backend DevelopmentGPT-4 Cloud ComputingArtificial IntelligenceRetrieval-augmented Generation (RAG) Vector Databases GrafanaCloud Run

Education

MLOps Engineer Nanodegree
MLOps Engineer Nanodegree
Udacity
2022 - 2022
Deep Learning Specialization
Deep Learning Specialization
DeepLearning.AI
2020 - 2020
MPhil Electrical Engineering
MPhil Electrical Engineering
Kwame Nkrumah University of Science and Technology (KNUST) - Ghana
2018 - 2023 (5 years)
BSc Electrical and Electronics Engineering
BSc Electrical and Electronics Engineering
Kwame Nkrumah University of Science and Technology (KNUST) - Ghana
2012 - 2016 (4 years)