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Ladla Abdullah

@ladlaabdullah

Senior Full-Stack Engineer at Token Metrics building AI-powered investment research with RAG, agents, and real-time market data.

Italy

Message

At Token Metrics, I build and scale an AI-powered investment platform for conversational research, token analytics, real-time market data, and on-chain intelligence. I developed RAG workflows and AI agents that retrieve market and on-chain data to produce grounded investment research.

At Memrise, I developed features for its language-learning platform and built recommendation models to predict vocabulary difficulty, recall probability, and review timing. Earlier, I contributed to Neeman's e-commerce platform and developed responsive React applications at Pontica Solutions.

Experience

Work history, roles, and key accomplishments

Current

Senior Full-Stack Engineer

Current

Token Metrics

Apr 2024 - Present (2 years 6 months)

Built and scaled an AI-powered investment platform using Python, FastAPI, Go, TypeScript, and Next.js, developing production services for conversational research, token analytics, real-time market data, and on-chain intelligence. Designed microservices, event-driven systems, and RAG/agentic AI workflows, and managed cloud-native infrastructure on GCP with Kubernetes and Terraform.

Python fastAPI Go TypeScript Next.js REST gRPC PostgreSQL Redis Kafka Google Pub Sub RAG AI Agents LLM Integrations Tool calling GCP Kubernetes GKE Terraform ArgoCD OpenTelemetry CI CD

Senior Software Engineer

NexusTek

Feb 2022 - Mar 2024 (2 years 1 month)

Designed enterprise backend platforms using Python, Django, Go, and Node.js, building REST APIs and microservices that integrated business applications, data platforms, authentication systems, and third-party services. Built event-driven architectures, data pipelines, and deployed services on AWS with Docker, Kubernetes, and Terraform.

Python Django Go NodeJS REST Microservices Kafka RabbitMQ Redis ETL ELT PostgreSQL Snowflake AWS EC2 AWS ECS Lambda S3 RDS Amazon SQS Docker Kubernetes Terraform GitHub Actions Jenkins OpenTelemetry Datadog Cloudwatch

Full-Stack Engineer

Memrise

Jun 2019 - Jan 2022 (2 years 7 months)

Developed full-stack features for Memrise's global language-learning platform using TypeScript, Node.js, React, and PostgreSQL, supporting personalized learning experiences for more than 50M registered learners. Built backend services, REST APIs, asynchronous services, and Python ML pipelines for recommendation and personalization.

TypeScript NodeJS React PostgreSQL REST Redis Python scikit learn TensorFlow NLP Embeddings Recommendation Systems Ranking Model Asynchronous Processing Caching Query Optimization

Full-Stack Engineer

Neeman's

Jun 2017 - Apr 2019 (1 year 10 months)

Built and maintained Neeman's e-commerce platform using PHP, Laravel, React, JavaScript, and MySQL, contributing across backend services, APIs, and customer-facing shopping experiences. Developed Laravel REST APIs, responsive React interfaces, and optimized MySQL queries and data models.

PHP Laravel React JavaScript MySQL REST Authentication Caching Background Jobs Query Optimization API Optimization

Front-End Engineer

Pontica Solutions

May 2016 - May 2017 (1 year)

Developed responsive React applications and translated product designs into reusable customer-facing interfaces using JavaScript, HTML, and CSS. Implemented server-side rendering and frontend performance optimizations, reducing page-load time from approximately 3.0 seconds to 0.8 seconds.

React JavaScript HTML CSS Server Side Rendering Performance Optimization REST APIs