Senior AI & Full Stack Engineer
Senior AI & Software Engineer with 6+ years of experience architecting high-performance distributed systems using Java/Python/NodeJS and Applied Multi Agent AI solutions including Agentic Workflows and GraphRAG systems using LangGraph.
- ✓Expert In RAG and Enterprise Knowledge Graph System
- ✓Experienced In AI SAAS Applications
- ✓Expert in Building Microservices using SpringBoot/NodeJS/FastAPI
- ✓Expert In Infrastructure as Code (IaC) and AWS/Azure/GCP
Available
for consultancy
Expertise in Java & Microservices
6+ years of experience building enterprise-grade systems with AI/ML, FastAPI, Spring Boot, NodeJS, React, and Cloud technologies for international clients
Developed NTB's Image Portal and Billing System (Spring Boot, Stripes, JSP, React.js). Requirement analysis, design, and collaboration with international teams. Implemented CI/CD pipelines on AWS.
Full Stack Developer for Core System, Document Signing, and AML solutions (Scala, Lift, Spring Boot, PostgreSQL). Database design with normalization, indexing, and query optimization.
Migrated Rakuten Beauty (E-commerce) from PHP to Java; backend and DevOps in private cloud. Built event-driven microservices using Kubernetes, Helm, Redis, GraphQL, Elasticsearch, Logstash, Kibana, Grafana.
Built low-code/no-code platform with event-driven microservices (Micronaut, Flask, NodeJS, Flutter, GCP, AI/ML). Practiced DDD, TDD (90%+ coverage), clean code, SOLID, DRY, KISS.
Key contributor in BKASH AML360 and BKASHSIS with microservices (Spring Boot, Angular, MySQL, MongoDB). End-to-end SDLC: requirements, design, backend, database modeling, deployment. Implemented caching with Redis, JWT authentication, and TDD.
Enterprise Projects & Expertise
Enterprise-grade systems built with AI/ML, Python, FastAPI, Java, Spring Boot, NodeJS, React & Microservices for international clients including Rakuten, NTB, and bKash
Architected an enterprise GraphRAG system to centralize complex organizational data, enabling high-accuracy, context-aware querying of nonlinear relationships across employee profiles and HR policies.
Key Achievements:
- Built a Multi-Agentic AI system using LangGraph to automate the end-to-end pipeline
- Engineered a custom Entity-Relationship Extraction engine
Technologies:
Automates meeting summaries across Google Meet, Zoom, and Teams with a centralized dashboard for managing AI-generated minutes.
Key Achievements:
- Developed Scalable AI SaaS solution with microservices architecture
- Developed Intelligent Summarization service using OpenAI and Hugging Face model
- Lead the team to ensure team collaboration for delivering high throughput in limited time
Technologies:
Developed NTB's Image Portal (bilder.ntb.no), Norway's leading media asset management platform serving news organizations and creative professionals. Built a scalable SaaS solution with microservices architecture for storing, organizing, and distributing millions of images and videos. Implemented advanced search capabilities using AWS OpenSearch and integrated billing systems for subscription management. Collaborated with international teams on requirements analysis, system design, and deployment. The platform handles high-volume media assets with efficient search and retrieval capabilities.
Key Achievements:
- 3x faster search performance with AWS OpenSearch
- Scalable microservices architecture
- AWS cloud deployment
Technologies:
Developed Visena's comprehensive office management SaaS platform (https://my.visena.com/visena/origo/nb_NO/home) for lawyers and accountants. Features include Core System, Document Signing, compliance, AML solutions, Database design with normalization, indexing, and query optimization.
Key Achievements:
- Full AML compliance system
- Document signing workflow
- Multi-tenant architecture
Technologies:
Key contributor to the migration of Rakuten Beauty's $200M/year e-commerce platform from legacy PHP to modern Java microservices architecture. Worked as part of a 15-member team and directly mentored 2 junior engineers.
Key Achievements:
- 3x API performance improvement
- Mobile-first GraphQL services
- Zero-downtime migration
Technologies:
Low-code/no-code platform with event-driven microservices. Implemented DDD patterns and achieved 90%+ test coverage with comprehensive AI/ML integration. Built low-code/no-code platform with event-driven microservices (Micronaut, Flask, NodeJS, Flutter, GCP, AI/ML). Practiced DDD, TDD (90%+ coverage), clean code, SOLID, DRY, KISS.
Key Achievements:
- Reusable CRUD library
- 90%+ test coverage
- Event-driven architecture
Technologies:
Anti-money laundering system handling millions of transactions daily. Built scalable microservices architecture with real-time monitoring and compliance reporting. Key contributor in BKASH AML360 and BKASHSIS with microservices (Spring Boot, Angular, MySQL, MongoDB). End-to-end SDLC: requirements, design, backend, database modeling, deployment. Implemented caching with Redis, JWT authentication, and TDD.
Key Achievements:
- Spearheaded end-to-end development of enterprise AML solution from concept to production
- Engineered scalable microservices architecture processing 10M daily transactions
- Designed comprehensive database ecosystem for high-volume financial data monitoring
- 200% KPI achievement
Technologies:
Malicious user screening engine processing high-volume transactions. Implemented advanced algorithms for real-time user behavior analysis and risk assessment. Key contributor in BKASH AML360 and BKASHSIS with microservices (Spring Boot, Angular, MySQL, MongoDB). End-to-end SDLC: requirements, design, backend, database modeling, deployment. Implemented caching with Redis, JWT authentication, and TDD.
Key Achievements:
- 40-45M daily records screening
- Real-time fraud detection
- Advanced ML algorithms
Technologies:
Certifications & Training
Advanced security practices for Java applications
View CertificateAdvanced Java programming and best practices
View CertificateFundamental Java programming concepts
View CertificateAzure cloud infrastructure and administration
View Certificate500-hour comprehensive machine learning program
500 hrGet In Touch
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