About Me

Hi! I’m Tanzim Hossain Romel, a Software Development Engineer at IQVIA with expertise in distributed systems and full-stack development. I leverage full-stack development, cloud-native architectures, and AI/ML to build scalable solutions.

Academic Interests & Goals: I am actively seeking Fall 2026 Ph.D./M.S. positions in:

Software Engineering
Distributed Systems
Human-Computer Interaction (HCI)

My research interests focus on building reliable, scalable systems that enhance human capabilities through innovative software solutions. I am particularly interested in:

Distributed Systems & Cloud Computing
Software Engineering for AI/ML Systems
Human-Centered System Design
Software Reliability & Testing

View Full CV (PDF) View CV Page

Current Work

Software Development Engineer 1, IQVIA (June 2023 – Present)

Fortune 500 company (Rank: 272) specializing in healthcare data science and clinical research
Part of the Technology Solutions division, focusing on healthcare analytics and data platforms
Backend Engineer at the KPI Library team, developing enterprise-scale healthcare analytics solutions

Key Contributions:

Performance Optimization
- Optimized microservices architecture by implementing MongoDB caching as a Kubernetes service across all services
- Implemented in-memory caching for specific services, reducing query response time by 30%
- Redesigned dashboard loading flow architecture, improving loading times by 40%
- Enhanced overall system performance through architectural improvements
Innovation & AI Integration
- Developed a JSON-based dynamic dashboard creation feature powered by LLMs
- Enabled natural language inputs for dashboard generation and customization
- Enhanced the existing translation system with dynamic localization features
- Improved platform flexibility and efficiency through automation
DevOps & Infrastructure
- Improved CI/CD pipeline with parallelized GitLab workflows
- Implemented automated test retries, reducing build and deployment times by 40%
- Implemented gRPC for high-volume microservice communication
- Reduced service latency by 40% and increased throughput by 25%

Tech Stack: C#, .NET, PostgreSQL, MongoDB, Microsoft SQL Server, Entity Framework, Redis, AWS, Docker, Kubernetes, Jaeger

Current Learning & Development

Technologies & Tools

GoLang for high-performance distributed systems
Terraform for infrastructure as code
Domain Driven Design principles and patterns
ELK Stack (Elasticsearch, Logstash, Kibana) for logging and monitoring

Technical Reading

“Designing Data-Intensive Applications” by Martin Kleppmann
“Domain-Driven Design: Tackling Complexity in the Heart of Software” by Eric Evans
“Mastering API Architecture” by James Gough, Daniel Bryant, and Matthew Auburn

Certifications In Progress

Certified Kubernetes Application Developer (CKAD)
- Advanced Kubernetes concepts and application deployment
- Expected completion: Q2 2025
AWS Solutions Architect Associate
- Cloud architecture design and best practices
- Expected completion: Q2 2025

Current Projects

Production-Grade URL Shortener

Production-ready URL shortener system using .NET, React.js, and Azure services
Implemented CI/CD, infrastructure as code, and advanced Azure services
Optimized performance with Redis Cache and CosmosDB
Achieved 99.99% uptime and sub-100ms response times

Tech Stack: .NET 8, Azure Functions, CosmosDB, Redis, React.js, Blazor

LLM Library Contracts Research

Extended ML API contracts to LLM libraries
Developed taxonomy for LLM-specific usage guidelines
Explored impacts on distributed systems and software engineering

Tech Stack: Python, PyTorch, Hugging Face Transformers

Useful Bookmarks

Cloud & DevOps

The Twelve-Factor App - Best practices for building cloud-native applications
AWS Well-Architected Framework - Cloud architecture best practices
Kubernetes Documentation - Official K8s documentation

Software Engineering

Martin Fowler's Blog - Software architecture and design patterns
Refactoring Guru - Design patterns and refactoring techniques
Patterns.dev - Modern web app design patterns

Research & Learning

arXiv CS.SE - Latest software engineering research papers
Papers with Code - ML papers with implementations
ACM Digital Library - Computer science research papers

Tools & Resources

Excalidraw - System design diagrams
Figma - UI/UX design tool
roadmap.sh - Developer roadmaps

Technical Expertise

Languages & Frameworks

Backend: C#/.NET, Python, TypeScript
Frontend: React.js, Blazor
Other: Solidity, C++

Cloud & DevOps

Platforms: Azure, AWS
Containers: Docker, Kubernetes
IaC: Terraform, Azure Bicep
CI/CD: GitHub Actions, GitLab CI

Data & AI/ML

Databases: PostgreSQL, MongoDB, Redis, CosmosDB
ML/DL: PyTorch, TensorFlow
Vision: OpenCV, Hugging Face

Tools & Technologies

Communication: gRPC, REST
Monitoring: OpenTelemetry, Jaeger
Performance: Redis, Entity Framework

Research & Writing

I actively contribute to the tech community through:

Research projects in distributed systems, blockchain, and AI
Technical blog posts on software engineering and industry trends
Paper reviews and insights on emerging technologies
Open-source contributions and documentation

My research interests span multiple domains:

Investigating Contracts for LLM Libraries, extending ML API contracts research
Blockchain applications in healthcare, focusing on secure data management
Network protocol optimization with TCP Vegas+
Deep learning for South Asian language processing

Career Vision

Short-Term: Lead projects integrating generative AI into distributed systems
Long-Term: Architect large-scale, privacy-first platforms for healthcare or fintech industries