Work Experience
IQVIA (NYSE: IQV) is a leading global provider of advanced analytics, technology solutions, and clinical research services to the life sciences industry, with 74,000+ employees across 100+ countries.
Key Responsibilities:
- Developing and optimizing microservices-based healthcare applications handling millions of patient records using .NET Core and C#
- Architecting and deploying cloud-native applications on AWS, leveraging services such as Lambda, EC2, S3, DynamoDB, and CloudFormation to build scalable and resilient healthcare data solutions
- Designing and implementing RESTful APIs following industry best practices and IQVIA's robust security standards for global pharmaceutical clients
- Integrating LLM capabilities into data analytics dashboards, enabling natural language querying of clinical trial data and automated generation of compliance-ready reports with 85% reduction in manual processing time
- Implementing comprehensive database performance optimizations including query tuning, indexing strategies, and execution plan analysis, achieving 60% reduction in complex query execution times
- Built an interactive Angular-based visualization dashboard for clinical trial outcomes with responsive design, reducing data interpretation time by 30% and improving client engagement metrics by 45%
- Conducting proof-of-concept projects to evaluate and integrate new technologies, leading to the adoption of several innovative features that enhanced product capabilities
- Creating advanced data partitioning schemes and implementing materialized views to optimize large-scale data access patterns for healthcare analytics applications
- Collaborating with cross-functional teams including data scientists, UX designers, and business analysts across multiple time zones to deliver integrated healthcare solutions
- Participating in regular knowledge-sharing sessions and mentoring junior developers on best practices in software architecture and performance optimization
- Developing and maintaining CI/CD pipelines using GitLab CI to ensure continuous deployment with 99.9% uptime
- Writing comprehensive unit, integration, and end-to-end tests, improving overall test coverage from 72% to 95% and reducing production incidents by 40%
- Implementing zero-downtime deployment strategies using blue-green deployment and canary releases, ensuring uninterrupted service availability during software updates for critical healthcare applications
- Implementing caching strategies with Redis and database optimization techniques, reducing query response times by 40%
- Received the 🏆 IQVIA Impact Program – Silver award (May 2025) for demonstrating outstanding performance by completing numerous tasks, resolving critical issues, supporting team processes, and developing essential features that significantly improved the product.
Developed an e-commerce aggregator platform allowing brands to promote products by fetching listings from multiple e-commerce platforms across Bangladesh.
Key Responsibilities:
- Built a high-performance web scraping system using Scrapy that collected product data from approximately 20 major e-commerce platforms in Bangladesh
- Deployed and maintained the scraper as a ScrapyRT server on DigitalOcean, enabling real-time product data extraction via API endpoints
- Architected and implemented a backend system using Express.js and MongoDB to manage, process, and aggregate product data from the scraper
- Created APIs for brands to host advertisements and integrate with the aggregated e-commerce data
- Optimized database queries and implemented caching strategies to handle large volumes of product data
Projects
Developed a blockchain-based ticketing platform as part of the "Recursively Enumerable" team that was selected as one of the 40 finalists in the Blockchain Olympiad Bangladesh 2021 (BCOLBD 2021). Our solution addressed ticket fraud, scalping, and counterfeiting issues through smart contracts and decentralized authentication. The platform enabled secure primary and secondary market transactions while ensuring transparency, fair pricing, and immutable ownership records.
Built an end-to-end OCR pipeline for Bangla digits with NumPy/OpenCV from scratch without relying on deep learning frameworks. Achieved 95.9% test accuracy on NumtaDB benchmark while implementing every convolution, pooling, activation, and optimization step manually for complete transparency and hackability. This project won 2nd place among 120 students in the CSE 472 Machine Learning Lab competition at BUET.
A production-ready URL shortener system using .NET, React.js, and Azure services with CI/CD, infrastructure as code, and optimized performance using Redis Cache and CosmosDB.
Extended the "Show, Attend, and Tell" image captioning model with BERT to improve caption quality and reduce training time.
A comprehensive microservices-based system for event organization and participation, built with TypeScript, Express.js, Next.js, Docker, Kubernetes, NATS, and MongoDB.
Technical Skills
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Programming Languages
C# .NET Python JavaScript Go -
Machine Learning
PyTorch NumPy Pandas OpenAI API LangChain -
Blockchain
Ethereum Solidity Hyperledger Fabric -
Web & Backend Frameworks
ASP.NET Express.js FastAPI -
Databases
PostgreSQL MongoDB Microsoft SQL Server -
DevOps & Cloud
Docker Kubernetes Azure AWS GitHub Actions -
Monitoring & Observability
OpenTelemetry Jaeger -
Other
Redis gRPC Entity Framework Azure Bicep