Experience
My professional journey in development and research
Full Stack Engineer
Invene
Lead full-stack engineer developing AI-powered clinical platforms using FastAPI, React, and PostgreSQL. Integrated advanced LLM capabilities and real-time data processing systems while maintaining high performance and compliance standards.
Key Achievements:
- Developed TypeScript-based REST and WebSocket APIs powering real-time EEG monitoring tools for ICU devices
- Engineered and deployed backend services using Node.js, Docker, and AWS (EC2, S3, CloudWatch), with sub-200ms latency targets
- Built internal tools using React + Redux to visualize live biosignal data and segmentation overlays
- Implemented secure service-to-service communications and access controls in a distributed system architecture
- Provisioned infrastructure with Terraform and managed CI/CD using GitHub Actions for fast, reliable deployments
Full Stack Engineer
Axxess Technology Solutions
Full-stack engineer focused on developing healthcare applications using Django and FastAPI. Implemented NLP features and ML model deployments while optimizing frontend performance with React.
Key Achievements:
- Built and deployed scalable backend APIs using FastAPI (Python) and Node.js, supporting dynamic ML workloads in production
- Led the integration of fine-tuned NLP models into a React-based web platform for customer support automation
- Established CI/CD pipelines with GitHub Actions and monitored application health using Prometheus and Grafana
- Collaborated with DevOps to design secure message queue-based systems for internal service orchestration
Software Engineer
Iodine Software
Backend engineer specializing in healthcare API development and ML model deployment. Enhanced system performance and integration with EMR systems while supporting NLP and predictive modeling initiatives.
Key Achievements:
- Developed logistics forecasting APIs in Node.js with PostgreSQL, deployed via AWS Lambda and monitored using CloudWatch
- Delivered real-time UI dashboards using React and Redux to visualize delivery tracking and forecasts
- Designed scalable microservices with built-in observability and fault-tolerant queue processing
- Introduced performance improvements by profiling API bottlenecks and implementing caching with Redis
Data Science Intern
Regional Healthcare Analytics Firm
Contributed to healthcare analytics projects focusing on predictive modeling and data pipeline development. Assisted in creating and validating risk stratification tools for hospital partners.
Key Achievements:
- Supported development of predictive dashboards for hospital partners
- Created data pipelines for clinical time-series datasets and applied statistical modeling
- Collaborated on early-stage risk stratification tools and helped validate predictive features