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Software Engineer

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Crafting digital experiences with clean code and modern design. Transforming ideas into powerful web applications.

ABOUT ME

A Little Background

Welcome! I'm Adam Bakulu Songambele, a software engineer with a deep passion for Artificial Intelligence.

I have professional experience working at BlackRock, where I spent a year developing secure applications using Java, TypeScript, Angular, and SpringBoot.

In addition to my professional work, I've created a variety of projects in my own time, including:

- A YouTube clone with adaptive streaming using Angular and SpringBoot.

- An event-driven file upload microservice using SpringBoot and FastAPI.

- An e-commerce microservices backend built with SpringBoot.

- A real-time multi-speaker transcription (diarization) system using machine learning in Python.

I am fluent in French and English, which enables me to thrive in multicultural teams and approach problems with a diverse perspective.

Feel free to explore my portfolio to learn more about my work and discover how we can collaborate to create innovative solutions.

EXPERIENCE

Work Experience

My professional journey and the projects I've worked on

Software Engineering

Blackrock Investment Management (UK) Ltd.

09/2022 - 09/2023

Enhanced Security Applications: Developed robust front-end experiences using Angular and TypeScript for internal security applications.
Backend Development: Designed and implemented backend systems with Java and SpringBoot in an Azure CI/CD environment.
Legacy System Modernization: Successfully migrated a legacy JSP application to a modern Angular UI, significantly improving usability.
Backend Revamp: Rewrote critical components of the SpringBoot backend to support the front-end migration, enhancing overall performance and user experience.
Agile Development: Collaborated in a fast-paced sprint-based environment to deliver high-quality software solutions.

EDUCATION

Academic Journey

My educational background and achievements

MSc in Data Science

In progress

Manchester Metropolitan University

Manchester, UK

I am currently undertaking a degree in data science to master aspect of deep-learning2025 - 2027

MSc in Artficial Intelligence

1st (84%)

Manchester Metropolitan University

Manchester, UK

I completed my MSc in Artificial Intelligence degree with a - 1st - including landing an industrial placement. The degree covered a wide range of topic from Statistics and Data Analysis to Machine Learning and robitic where I wrote physics simulation scripts for robots. This also included building some fundamental algorithms from scratch.2021 - 2023

BSc (Hons) In Computer Science

1st (92%)

Manchester Metropolitan University

Manchester, UK

I completed my BSc in Computer Science with a 1st. The degree allowed me to study topics like A.I., Algorithms and Data Structures amongst other things.2017 - 2021

Maths & Physics

1st

Age D'or

Lubumbashi, DRC

Completed a High School degree focusing on Maths and Physics.... - 2017

SKILLS

Technologies & Tools

Technologies I work with to bring ideas to life

Tailwind Css

ClickHouse

Nginx

Python

Javascript

AWS

Redis

Java

Springboot

Typescript

Ubuntu Server

HTML5

Docker

Sanity

Github Actions

Kafka

CSS3

Android

PostgreSQL

Angular JS

Azure DevOps

ReactJs

FastAPI

NgRX

Prometheus

Bash Scripting

MySQL

Github

Next Js

PROJECTS

Featured Work

A selection of projects I've worked on

1 / 13

Event-Driven Log Smart Platform

1 / 5

Synaps, a production-ready, event-driven microservices platform for intelligent log analysis using LLMs, vector embeddings, and real-time stream processing. The system demonstrates advanced patterns in distributed systems architecture, combining traditional time-series databases with modern AI/ML techniques for semantic understanding of application logs.

Key features include:
• Built real-time log ingestion pipeline: Kafka streams 10K+ logs/sec through batched consumers (1000/batch), bulk-inserted into ClickHouse with LZ4 compression (10x ratio), 90-day TTL auto-cleanup.
• Semantic pattern detection via dual-pipeline architecture: ERROR/WARN/FATAL logs filtered to vectorization queue, Jina Embeddings v3 generates 768-dim vectors with Redis caching (80-90% hit rate), Qdrant HNSW indexing enables cross-service similarity search.
• Intelligent anomaly detection using statistical baselines: Materialized views aggregate logs into hourly buckets, pattern-based Z-score analysis (day-of-week + hour-of-day) flags deviations exceeding 2σ thresholds, auto-recalculates nightly.
• LLM-powered analysis orchestration: ClickHouse queries aggregate 100K+ logs into ~50 unique patterns, Qdrant semantic clustering detects novel errors, local Ollama inference (DeepSeek/Qwen) generates executive summaries with root cause analysis, stored in PostgreSQL.
• Full-stack observability dashboard: FastAPI unified gateway exposes REST + WebSocket endpoints, React UI with real-time error streaming, interactive semantic search, and Z-score visualization charts.

Unique technical achievements on this project include: 1. Hybrid Search Architecture: Combines vector similarity (Qdrant) with time-series analytics (ClickHouse) for comprehensive log analysis 2. Matryoshka Embedding Strategy: 768-dim embeddings with truncation support (512/384/256) for memory/performance tradeoffs 3. Pattern-Aware Anomaly Detection: Day-of-week + hour-of-day baselines account for business cycles (Monday 3am ≠ Friday 3pm) 4. Zero-Cost LLM Analysis: Local Ollama inference eliminates API costs while maintaining quality 5. Progressive Filtering Pipeline: Writes ALL logs to ClickHouse, vectors only ERROR+ logs (reduces vectorization costs by ~95%) 6. Cache-First Embedding: SHA256-based Redis caching achieves 80-90% hit rate, dramatically reducing Jina API calls

Technologies Used:

ReactJs

Javascript

FastAPI

Python

PostgreSQL

ClickHouse

Redis

Kafka

Prometheus

View Project

1 / 5

Personal Website

3 / 5

I built a robust and secure portfolio website utilizing React, TailwindCSS, Next.js, and Docker. The project involved setting up a CI/CD pipeline with GitHub Actions, configuring a self-hosted Ubuntu server with enhanced security measures, and establishing an Nginx reverse proxy. The result was a high-performance website with excellent security ratings.

Key features include:
• Modern Frontend: Developed using React and TailwindCSS for a mobile responsive and dynamic user interface and implemented with Next.js for server-side rendering and improved SEO.
• Containerization: Utilized Docker for containerization, ensuring consistent development and production environments.
• CI/CD Pipeline: Set up GitHub Actions for continuous integration and deployment, automating the build and deployment process.
• Secure Server Setup: Deployed on a self-hosted Ubuntu server and configured SSH with asymmetric keys for secure access. Implemented IP-banning and firewall to mitigate unauthorized access attempts.
• Automated SSL Management: Set up automatic SSL certificate renewal with Certbot using a cron job to maintain secure HTTPS connections.
• Nginx Reverse Proxy: Configured Nginx as a reverse proxy for efficient traffic management. Optimized client configurations for buffer handling and performance.
• Security Enhancements: Achieved A+ rating on SSL Labs for SSL configuration. Attained A rating on SecurityHeaders.com for HTTP security headers.
• Content Management: Sanity.io was used to handle content management, allowing the site's content to be updated without requiring any re-deployment.

Through this project, I gained extensive experience in modern web development practices and security implementations. I learned how to efficiently use React and TailwindCSS to build responsive interfaces, leverage Next.js for server-side rendering, and employ Docker for consistent environment management. Setting up a CI/CD pipeline with GitHub Actions enhanced my understanding of automated deployments. Additionally, configuring a secure server environment, including SSH with asymmetric keys, IP banning, and automated SSL renewal, taught me valuable lessons in server security and maintenance. Implementing an Nginx reverse proxy with client optimizations and achieving high-security ratings provided deep insights into web security best practices.

Technologies Used:

Nginx

Ubuntu Server

Typescript

Tailwind Css

ReactJs

Next Js

Sanity

Github Actions

Docker

CONTACT

Get In Touch

Have a project in mind? Let's work together to bring it to life.

Let's Talk

I'm always open to discussing new projects, creative ideas, or opportunities to be part of your visions.

adambaku5216@gmail.com

Location

Manchester, United Kingdom

PORTFOLIO

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A Little Background

Work Experience

Software Engineering

Academic Journey

MSc in Data Science

In progress

Manchester Metropolitan University

Manchester, UK

MSc in Artficial Intelligence

1st (84%)

Manchester Metropolitan University

Manchester, UK

BSc (Hons) In Computer Science

1st (92%)

Manchester Metropolitan University

Manchester, UK

Maths & Physics

1st

Age D'or

Lubumbashi, DRC

Technologies & Tools

Featured Work

Event-Driven Log Smart Platform

Youtube clone

Personal Website

Real-time speech transcription

Part of a Winning Team in Hackathon

Get In Touch

Let's Talk