A highly skilled Software Engineer with 2.5 years of experience in backend development, specializing in Python/Django, microservices architecture, and performance optimization. Proven ability to design, develop, and deploy scalable solutions, enhance system security by 40%, and improve system responsiveness by 25% through advanced caching and database indexing. Adept at leveraging a diverse tech stack to deliver robust and efficient software, as demonstrated by a 35% improvement in data processing speed for high-volume analytics tools.
Software Engineer
Noida, Uttar Pradesh, India
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Summary
Led the full-stack enhancement of a real-time Patient Management System, driving improvements in patient record management, appointments, and billing operations for healthcare professionals.
Highlights
Orchestrated the full-stack enhancement of a real-time Patient Management System, optimizing patient record management, appointment scheduling, and billing operations for healthcare professionals.
Bolstered system security by 40% through the implementation of JWT (60-minute expiry) and OAuth protocols, safeguarding sensitive patient data effectively.
Optimized system responsiveness by 25% by implementing database indexing and routing GET requests to PostgreSQL read replicas, achieving a 50% reduction in redundant queries.
Architected a modular microservices system encompassing authentication, billing, patient data, and notifications, reducing inter-service latency by 20%.
Ensured high code quality through modular design patterns, comprehensive automated API test coverage, and detailed documentation, leading to a 30% reduction in post-deployment issues.
C++ Developer Intern
Dehradun, Uttarakhand, India
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Summary
Contributed to the development and optimization of a desktop-based analytics tool, enhancing algorithm efficiency and memory usage for high-volume data processing.
Highlights
Developed and optimized a desktop-based analytics tool for high-volume data processing, prioritizing algorithm efficiency and memory usage.
Accelerated data processing speed by 35% through meticulous optimization of parsing and aggregation logic within performance-critical C++ modules.
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Bachelor's of Technology
Computer Science and Engineering
Grade: 8.01/10.0 CGPA
Awarded By
University of Petroleum and Energy Studies
Secured a scholarship for demonstrating excellent academic performance during the second year of Bachelor's of Technology studies.
Awarded By
International Conference on MIDAS-2020
Served as a student Volunteer and Member Secretary for the International Conference on MIDAS-2020.
Published by
SSRN
Summary
Developed a custom C++ search algorithm, 'Q-split', published in SSRN, that significantly outperforms traditional linear search methods by dividing datasets into quadrants for faster lookup in unsorted arrays. Designed for integer data, demonstrating superior performance across both sorted and unsorted datasets.
Python, C, C++, Java.
Django, Flask, REST Framework.
MySQL, PostgreSQL, MongoDB.
Pandas, Redis, Celery, Elastic Search, Kafka, Git, Docker, PyCharm, Jenkins, AWS.
AWS.
Git.
Docker.
Jenkins.
Data Structures, Algorithms, LeetCode (270+ problems), GeeksforGeeks.