Software Engineer with 2+ years in Python, Django & AWS
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Assessing your cultural and operational fit
Motivated Python developer with 2 years of experience building efficient and scalable software solutions. Proficient in web frameworks including Django, Flask, and Fast API, with expertise in microservices architecture, API development, and cloud technologies. Demonstrated success in migrating legacy systems, implementing authentication services, and developing healthcare applications. Committed to delivering innovative solutions and continuously enhancing technical capabilities.
UIT Kuravankonam, Kerala University
Bachelor of Computer Science · Computer Science
August 1, 2016 – June 30, 2019
Equipo Business Solutions PVT LTD
Software Engineer
October 1, 2023 – Present
Thiruvananthapuram, Kerala, India
Nursing Line
June 28, 2026 – Present
Developed and deployed 24/7 web-based emergency nurse assistance system supporting real-time patient requests using Amazon Connect. Built and integrated Amazon Connect for seamless inbound/outbound nurse-patient communication with call flow configuration and contact flow management. Delivered fully functional web application within 3 months, meeting aggressive project timeline and stakeholder requirements. Designed scalable, secure architecture on Amazon Connect and AWS (Lambda, S3) using Python and Boto3, ensuring high availability and reliability. Enabled real-time notifications and intuitive user interfaces for healthcare staff and coordinators, improving response times and patient care quality.
Equipo
October 1, 2023 – June 1, 2026
Architected and implemented robust authentication service using Django, MySQL, and JWT-based framework for multiple applications, ensuring secure access control and Single Sign-On (SSO) functionality. Led technical transformation of backend system from PHP to Python, resulting in improved performance, scalability, and maintainability across the application infrastructure. Built generic microservices consuming external and internal APIs using Django and MySQL, enabling seamless API integration for subscribers and improving system modularity. Developed and integrated multiple external APIs to enrich application functionality and enhance user experience across healthcare platforms. Pioneered wearable device integration to collect and analyze health data, enabling data-driven insights and personalized patient interventions. Conceived, developed, and deployed innovative SDOH (Social Determinants of Health) module incorporating data ingestion, cleaning, analysis, and risk score modeling to inform care delivery. Optimized query performance to efficiently process large volumes of unstructured SDOH data, ensuring timely and accurate insights for healthcare providers. Built predictive models utilizing machine learning techniques to assess patient risk levels based on SDOH factors, empowering clinicians with actionable information. Containerized applications using Docker to streamline deployment processes and enhance scalability across multiple environments. Implemented custom authentication methods, middleware, and signals to enhance application security and user experience.
3 Months Internship on Python with Django
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project experience in healthcare platforms (Equipo, Nursing Line) demonstrates a focus on impactful applications. The technical transformation leadership and pioneering wearable device integration suggest a proactive and innovative mindset. The breadth of skills across backend, cloud, and data science indicates adaptability and a willingness to learn diverse technologies, aligning with a dynamic work environment. However, the limited professional experience (starting Oct 2023) might indicate a need for more exposure to diverse team structures and corporate cultures.
Soft Skills & Operational Fit
The candidate's resume indicates experience in Agile methodologies (Scrum, Jira) and a commitment to delivering innovative solutions. The project descriptions suggest an ability to work under aggressive timelines and a focus on improving system performance and user experience. The healthcare domain experience implies an understanding of critical systems and data sensitivity.