ANSHUL SRIVASTAVA
Software Engineer
Noida
Summary
Detail-oriented, organized, and meticulous employee. Works at fast pace to meet tight deadlines. Enthusiastic team player ready to contribute to company success.
Overview
2
2
years of professional experience
Work History
Software Engineer/Project Associate
IIT Mandi
8 2023 - Current
- Spearheaded the development & maintenance of backend services via Java & Spring Boot, achieving a 20% enhanced system efficiency
- Engineered and fine-tuned multi-cloud infrastructures across AWS, GCP, and Azure; slashed operational costs by 25% and enhanced service delivery efficiency by 30% through advanced automation techniques
- Spearheaded the reconfiguration of Linux servers, bolstering system integrity and reducing security breaches by 45% through the deployment of automated monitoring tools.
SDE Trainee
IVTREE
10.2022 - 07.2023
- Architected and upheld robust backend frameworks utilizing Python, Flask, and SQLAlchemy; facilitated scalable web applications and API functionality, resulting in a 35% enhancement in data processing speed and user retention
- Orchestrated the development and optimization of RESTful APIs, enhancing data flow between microservices; resulted in a 35% boost in application performance and a 20% reduction in downtime incidents
- Designed and optimized complex SQL databases, achieving a 50% reduction in data retrieval time and supporting scalable system architecture for future growth
- Executed efficient deployment strategies and rigorous adherence to software engineering standards, leveraging Git for version control, which decreased production bugs by 30% and improved team productivity by 20%.
Education
Bachelor of Technology - Computer Science
Sharda University
Greater Noida, India 04.2001 -
Skills
Java Spring Boot
Python (with SQLAlchemy and Flask)
REST API Development
C (Data Structures and Algorithms)
Cross-platform Development
Accomplishments
- Directed the Competitive Programming team at Codechef College, organizing weekly algorithmic challenges and achieving a 40% increase in participant engagement and performance within six months.
- Catalogued and conducted bi-monthly coding competitions within Codechef College Chapters, increasing member engagement by 50% and improving competitive programming skills across the community.
- Distinguished as an ACM-ICPC Regionalist for 4 years (2018, 2019, 2021, and 2022), attaining a notable 3-star rating on CodeChef.
- Competed in the prestigious Google Codejam in 2018, 2019, and 2020, showcasing advanced coding skills.
- Active participant in Facebook HackerCup in 2018 and 2020, demonstrating proficiency in competitive programming.
- Earned an honorable mention in Codechef Snackdown in both 2017 and 2019, reflecting consistent coding excellence.
Timeline
SDE Trainee
IVTREE
10.2022 - 07.2023
Bachelor of Technology - Computer Science
Sharda University
04.2001 -
Software Engineer/Project Associate
IIT Mandi
8 2023 - Current
Projects
WarOfParts: Designed WarOfParts a user-friendly application for evaluating PC components, enabling users to identify the most appropriate options. Developed using Java and XML in Android Studio.
• Brain Tumor Detection using CNN: Led a major project employing Convolutional Neural Networks for precise brain tumor detection, demonstrating proficiency in advanced machine learning techniques.
• Rurik: Developed and deployed a Python-driven antivirus platform utilizing PyClamAV and Sophos database; incorporated VirusTotal API for comprehensive threat analysis, improving detection rates by 50% and system security by 35%.
Projects
WarOfParts: Designed WarOfParts a user-friendly application for evaluating PC components, enabling users to identify the most appropriate options. Developed using Java and XML in Android Studio.
• Brain Tumor Detection using CNN: Led a major project employing Convolutional Neural Networks for precise brain tumor detection, demonstrating proficiency in advanced machine learning techniques.
• Rurik: Developed and deployed a Python-driven antivirus platform utilizing PyClamAV and Sophos database; incorporated VirusTotal API for comprehensive threat analysis, improving detection rates by 50% and system security by 35%.