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vcnwafor/README.md

๐Ÿ‘‹ Hi, I'm Victor Nwafor

Technical Lead & Solutions Architect | 14+ Years Building Enterprise Systems

With over 14 years in tech, I specialize in creating cloud-native solutions that solve business challenges and drive measurable results. From startups to enterprises, I partner with clients to turn their vision into reality, including cutting-edge AI and LLM integrations.


โœจ Proven Results

  • 55% processing time reduction - Built systems that cut processing times and costs by 35%
  • Zero downtime migrations - Migrated 300+ staff to cloud during COVID-19 lockdown
  • 50% performance improvements - AWS Lambda solutions with infrastructure automation
  • Enterprise scale delivery - From startups to global clients across healthcare, fintech, oil & gas

๐ŸŽฏ What I Deliver

๐Ÿค– AI & LLM Integration
Expert in implementing ML models through FastAPI endpoints, integrating AI services like OpenAI and Claude into enterprise systems, and building scalable inference pipelines for real-time AI applications.

๐Ÿ—๏ธ Custom Enterprise Systems
Expertise in distributed systems, search technologies (Elasticsearch, OpenSearch), and data persistence using C# .NET, Python, Node.js, and Go - optimized for AI workloads and high-throughput processing.

โ˜๏ธ Cloud Excellence
Deploy robust solutions on AWS, Azure, and GCP, optimizing for scalability and cost-efficiency. Specialized in GPU orchestration and container management for AI/ML workloads. Reduced infrastructure costs by 20% for SaaS clients.

โšก AI-Ready Infrastructure
Built event-driven platforms processing large data streams using Kafka, implemented ML model serving with proper monitoring, and designed systems handling computational demands of modern AI applications.

๐Ÿ—„๏ธ Database Mastery
Skilled in MSSQL, PostgreSQL, MongoDB, Redis, DynamoDB, and vector databases for AI applications - ensuring secure, high-performance data management and efficient similarity search for LLM applications.

๐Ÿš€ Streamlined DevOps
Use Terraform, Ansible, CloudFormation, and Kubernetes to automate infrastructure, including GPU clusters and AI-specific orchestration, plus message brokers for reliable distributed systems.


๐Ÿ› ๏ธ Technical Arsenal

Backend & Systems

Languages: C# ๐Ÿ”ท Python ๐Ÿ Go ๐Ÿน Java โ˜• NodeJS ๐ŸŸข
Frameworks: Django โ€ข FastAPI โšก Spring Boot โ€ข Play โ€ข Gin โ€ข Express

Cloud & Infrastructure

Cloud: AWS โ˜๏ธ GCP ๐ŸŒ Azure ๐Ÿ”ต (14+ years combined experience)
IaC: Terraform ๐Ÿ—๏ธ CloudFormation โ€ข CDK โ€ข Ansible ๐Ÿค–
Orchestration: Kubernetes โš“ Docker ๐Ÿณ EKS

Data & Search

Databases: PostgreSQL ๐Ÿ˜ MSSQL โ€ข MongoDB ๐Ÿƒ Redis ๐Ÿ”ด Neo4J โ€ข DynamoDB โ€ข Cosmos DB
Search: Elasticsearch ๐Ÿ” OpenSearch โ€ข Solr
Streaming: Kafka ๐Ÿ“Š RabbitMQ ๐Ÿฐ AWS SQS

AI/ML & Analytics

ML: OpenAI, CLaude, Gemini, TensorFlow ๐Ÿง  PyTorch ๐Ÿ”ฅ NLTK โ€ข spaCy โ€ข OpenCV ๐Ÿ‘๏ธ
APIs: Steamlit, Flask, FastAPI โšก model serving, real-time inference pipelines
Integration: OpenAI ๐Ÿค– Claude โ€ข custom model deployment

DevOps & Monitoring

CI/CD: Jenkins โ€ข GitHub Actions ๐Ÿš€ TeamCity โ€ข CircleCI โ€ข Azure DevOps
Monitoring: NewRelic โ€ข Datadog ๐Ÿ• Grafana ๐Ÿ“ˆ Prometheus โ€ข ELK Stack
Testing: K6 โ€ข Postman ๐Ÿ“ฎ automated testing pipelines

๐Ÿš€ What I'm Working On

๐Ÿค– AI-First Solutions

  • Implementing LLM integrations for enterprise applications
  • Building scalable ML model serving infrastructure
  • Developing AI-powered SaaS platforms

โ˜๏ธ Cloud-Native Architecture

  • Designing event-driven microservices ecosystems
  • Optimizing multi-region deployments for global scale
  • Implementing cost-effective serverless architectures

๐Ÿ“Š High-Performance Systems

  • Building real-time data processing pipelines
  • Architecting distributed systems for million+ device connectivity
  • Creating robust API gateways and service meshes

๐Ÿข Enterprise Experience

Currently: Technical Lead at Entraid Systems (Nov 2023 - Present)

  • Leading architecture decisions for scalable backend systems
  • Implementing ML models and AI integrations across client projects via Entraid, Arc.dev, Modus Create, e.t.c
  • Managing multi-cloud deployments on AWS/GCP with full observability

Why Partner With Me?
My experience spans from traditional enterprise systems to modern AI-powered applications, making me uniquely positioned to help businesses leverage both proven technologies and emerging AI capabilities. I adapt to your workflow, communicate clearly, and deliver on time - every time.


๐Ÿค Open for Collaboration

  • I Exceed your expectation and make your dreams come true.
  • Enterprise system architecture
  • AI/ML integration projects
  • Cloud migration and optimization
  • Technical mentoring and team leadership

"Building systems that scale from idea to enterprise"

Pinned Loading

  1. rk-grpc rk-grpc Public

    Forked from rookie-ninja/rk-grpc

    Start gRPC microservice from YAML, plugin of rk-boot

    Go

  2. terraform-aws-alb-www-redirect terraform-aws-alb-www-redirect Public

    HCL

  3. opencv opencv Public

    Forked from opencv/opencv

    Open Source Computer Vision Library

    C++

  4. go-micro go-micro Public

    Forked from micro/go-micro

    A Go microservices framework

    Go

  5. go-microservices go-microservices Public

    Forked from raycad/go-microservices

    Golang Microservices Example

    Go

  6. dotnet-webapi-starter-kit dotnet-webapi-starter-kit Public template

    Forked from fullstackhero/dotnet-starter-kit

    production grade .net 8 webapi starter kit with multitenancy support and clean code. ๐Ÿ”ฅ

    C#