Professional Experience
A journey through creative development, continuous learning, and meaningful contributions to innovative projects.
As a Senior Full-Stack Developer, I design, develop, and lead the delivery of scalable web applications, ensuring robust data management, high system performance, and seamless user experiences through close collaboration with cross-functional teams.
Key Achievements
- Building and maintaining scalable frontend components with React.js and Next.js to deliver responsive, user-friendly interfaces.
- Developing and optimizing backend systems with Node.js, improving application reliability and scalability.
- Integrating and managing relational (PostgreSQL) and NoSQL (MongoDB) databases to ensure secure and efficient data handling.
- Enhancing application performance and load times through efficient database queries and caching strategies.
- Developing and optimizing backend systems with Node.js, Express.js, and Prisma ORM to ensure scalability, reliability, and security.
- Architecting relational (PostgreSQL) and NoSQL (MongoDB) databases to support secure, efficient, and scalable data handling.
- Leading project lifecycles from concept to deployment, collaborating with designers and stakeholders to deliver on time.
- Enhancing application performance through optimized database queries, caching strategies, and reduced load times.
- Mentoring junior developers and conducting code reviews, promoting best practices, and maintaining high code quality.
- Owning system architecture and technical design decisions, ensuring solutions are scalable, maintainable, and aligned with long-term business goals.
- Leading technical discussions and architectural reviews, evaluating trade-offs between performance, security, and development velocity.
- Implementing AI-powered automation to streamline data extraction, validation, and processing workflows from user-generated content and long-form inputs.
- Integrating generative AI solutions to deliver personalized user experiences, such as dynamic content generation and recommendation systems.
Technologies Used
Combined statistical programming expertise with software engineering to deliver validated clinical datasets and the tools to work with them. Responsibilities spanned NONMEM PK/PD dataset creation and QC, backend and API development in Python and Node.js, and mentoring junior team members.
Key Achievements
- Authored dataset derivation specifications for NONMEM PK/PD analysis datasets, defining variable derivations, source data mappings, and data handling rules
- Created and validated NONMEM-ready PK/PD datasets for pharmacokinetic and pharmacodynamic analyses
- Performed independent QC and validation of statistical programming outputs, identifying and resolving data discrepancies, programming errors, and inconsistencies
- Developed and maintained statistical programming workflows for data processing, transformation, analysis, and reporting, ensuring dataset accuracy and consistency
- Built backend applications and REST APIs using Python, Node.js, and Express.js to support data-driven, cross-platform software solutions
- Developed Python-based data visualization tools for analysis and presentation
- Collaborated with statistical programmers, pharmacometricians, and developers to streamline data processing and analytical workflows
- Supervised and mentored junior programmers, reviewing deliverables and conducting training sessions on Python, SAS, and project-specific practices
Technologies Used
Completed a Bachelor of Science in Mathematics with a strong foundation in calculus, linear algebra, real and complex analysis, probability, and statistics. Developed rigorous analytical and problem-solving skills through proof-based coursework, and gained hands-on experience applying mathematical and statistical methods to real-world problems, a foundation that later supported my work in statistical programming and software development.
Key Achievements
- Built a solid grounding in probability theory, statistical inference, and numerical methods, later applied professionally in clinical data analysis
- Completed coursework in mathematical modeling, differential equations, and optimization
- Gained early programming experience implementing numerical and statistical algorithms (e.g., in C/Python/MATLAB)
- Completed a final-year project on "Development of Standalone GUI for parabolic IBVP and Application of Homotopy Perturbation Method to Linear and Non-linear PDE"
Technologies Used
Skills & Technologies
Tools and technologies I use to bring creative ideas to life.