January 15, 20248 min
Building Scalable Microservices with Go
A deep dive into designing and implementing microservices architecture using Go, covering service discovery, load balancing, and fault tolerance patterns.
GoMicroservicesArchitecture
01.About Me
Hello! I'm Lambiv, a software engineer and researcher passionate about building innovative solutions and exploring cutting-edge technologies. My journey in tech combines practical engineering with academic research, allowing me to bridge theory and practice.
I specialize in developing scalable systems and conducting research at the intersection of machine learning, distributed systems, and software architecture. My work focuses on creating efficient, maintainable solutions while contributing to the broader understanding of computer science fundamentals.
When I'm not coding or researching, I enjoy sharing knowledge through technical writing, contributing to open-source projects, and exploring new technologies that push the boundaries of what's possible.
Tech Stack
TypeScriptReactNext.jsNode.jsPythonMachine LearningDistributed SystemsCloud Architecture
Research Interests
Machine LearningDistributed SystemsComputer VisionNatural Language Processing
What I'm Doing Now
Currently working on exciting projects and continuously learning new technologies
Active Projects
Active
Software Development & Engineering
Bilin GmbH
Developing and maintaining software solutions using modern technologies including Neo4j, Apache Kafka, and PostgreSQL for scalable applications.
Neo4jApache KafkaPostgreSQLJavaSpring Boot
Currently Learning
Advanced Neo4j & Graph Database Patterns
Deepening expertise in graph database optimization and complex query patterns
Apache Kafka Stream Processing
Learning advanced stream processing patterns and real-time data pipelines
Data Science & Analytics
Building on Python and statistical analysis skills for data-driven insights
Research Interests
- Graph database optimization and performance
- Real-time data processing with Apache Kafka
- Data science applications in software development
- Cybersecurity best practices in development
- Algorithm optimization and data structures
Last updated: October 2025
03.Certifications & Awards
Professional certifications and academic honors
5
Certifications
Professional & Technical
3+ Years
Experience
Software Development
2 Countries
Work Experience
Cameroon & Germany
Featured
ALX-T Data Analyst
ALX•2023
Comprehensive data analysis certification covering statistical analysis, data visualization, and business intelligence tools.
Data AnalysisCertification
Certificate of Web Dev Bootcamp Completion
Web Development Bootcamp•2022
Completed intensive web development bootcamp covering full-stack development, modern frameworks, and best practices.
Web DevelopmentFull-Stack
Programming for Data Science with Python
Udacity•2021
NanoDegree program covering Python programming fundamentals, data structures, and data science applications.
PythonData Science
Introduction to Cybersecurity
Cybersecurity Course•2021
Foundational cybersecurity certification covering security principles, threat analysis, and protection strategies.
CybersecuritySecurity
JavaScript Algorithms and Data Structures
JavaScript Course•2021
Comprehensive JavaScript certification covering algorithms, data structures, and problem-solving techniques.
JavaScriptAlgorithms
02.Experience
Senior Software Engineer
Tech Innovation Labs- Led development of distributed microservices architecture serving 1M+ users
- Implemented ML-powered recommendation system improving user engagement by 40%
- Mentored team of 5 junior engineers in best practices and code quality
- Architected CI/CD pipeline reducing deployment time by 60%
Graduate Research Assistant
Research University- Conducted research on distributed systems optimization and fault tolerance
- Published 3 papers in top-tier conferences (SOSP, OSDI)
- Developed novel algorithms for consensus in distributed environments
- Collaborated with industry partners on real-world applications
Full Stack Developer
Startup Inc.- Built scalable web applications using React, Node.js, and PostgreSQL
- Implemented real-time features using WebSockets and Redis
- Optimized database queries reducing response time by 50%
- Contributed to product roadmap and technical decision-making
05.Research & Publications
Published Work
Efficient Consensus Algorithms for Distributed Systems
SOSP 2023We present a novel approach to achieving consensus in distributed systems with improved latency and fault tolerance.
Our algorithm reduces message complexity from to while maintaining strong consistency guarantees.
Key Contributions:
- Novel message passing protocol
- Formal correctness proofs
- Extensive performance evaluation
Distributed SystemsConsensusFault Tolerance
Machine Learning for Predictive System Optimization
OSDI 2022This work explores the application of machine learning techniques to predict and optimize system performance in cloud environments.
Results: Achieved 35% improvement in resource utilization through:
- Predictive autoscaling
- Workload-aware scheduling
- Dynamic resource allocation
Machine LearningCloud ComputingOptimization
Current Research
Scalable Real-time Data Processing Framework
In ProgressDeveloping a novel framework for processing streaming data at scale with sub-millisecond latency guarantees.
Focus Areas:
- Edge computing scenarios
- Resource-constrained environments
- Fault-tolerant stream processing
Target latency: for 99th percentile
Stream ProcessingEdge ComputingReal-time Systems
Neural Architecture Search for Efficient Models
In ProgressInvestigating automated methods for discovering efficient neural network architectures optimized for deployment on mobile and edge devices.
Goal: Reduce model size by 10x while maintaining accuracy within 2% of full-size models.
Neural Architecture SearchModel OptimizationEdge AI
04.Featured Projects
A fault-tolerant distributed task scheduling system built with Go and etcd. Handles millions of tasks per day with automatic failover and load balancing.
GoetcdDistributed SystemsKubernetes
Production-ready platform for deploying and serving machine learning models at scale. Features auto-scaling, A/B testing, and real-time monitoring.
PythonFastAPIDockerTensorFlowRedis
High-performance analytics dashboard processing millions of events per second. Built with React, WebSockets, and ClickHouse for real-time insights.
ReactTypeScriptWebSocketsClickHouse
Code Review Assistant
AI-powered code review tool that provides intelligent suggestions and catches potential bugs. Integrates with GitHub and GitLab.
PythonOpenAIGitHub ActionsNLP
07.Blog & Writing
January 8, 202412 min
Understanding Distributed Consensus Algorithms
An exploration of Paxos, Raft, and other consensus algorithms, with practical examples and implementation considerations for distributed systems.
Distributed SystemsAlgorithmsTheory
December 20, 202310 min
Machine Learning Model Deployment Best Practices
Lessons learned from deploying ML models to production, including versioning, monitoring, A/B testing, and handling model drift.
Machine LearningMLOpsDevOps
December 10, 20236 min
Reflections on Research and Engineering
Thoughts on bridging the gap between academic research and practical engineering, and how each discipline informs the other.
CareerResearchEngineering
08.
Notes & TILs
Quick notes, today-I-learned moments, and evergreen thoughts from my learning journey.
07.Get In Touch
I'm always open to discussing new projects, research collaborations, or opportunities to contribute to interesting work. Whether you have a question or just want to say hi, feel free to reach out!
Say Hello