Ayush Rawat
Gurugram
Overview
3
3
years of professional experience
3
3
Certificates
3
3
Languages
Work History
Software Developer
DELHIVERY
6 2022 - Current
- Developed a multi-tenant SaaS fleet management solution on the OS platform, achieving millisecond-level response times for key REST API endpoints
- Optimized performance by converting synchronous APIs to asynchronous and processing data through Kafka and Redis for efficient background processing
- Optimized system performance by utilizing asyncio and threading to reduce API response times from 2-3 seconds to under 100 milliseconds
- Deployed a publisher-subscriber model for real-time updates, migrating from RabbitMQ to Apache Kafka to address scalability issues and reduce message lag and latency.
Software Developer Intern
DELHIVERY
01.2022 - 06.2022
- Integrated internal APIs (Flare, Miles) using microservices architecture and high-performance networking, achieving sub-second response times and enhancing reliability with callbacks and robust error handling
- Conducted root cause analysis (RCA) for billing errors and used AWS Athena for data correction, improving data integrity and consistency.
Education
Bachelor of Technology -
THE LNM INSTITUTE OF INFORMATION TECHNOLOGY
Jaipur, IndiaSkills
Python
C
MySQL
English
Hindi
Spanish
Flask
RESTful API
AWS Lambda
Kafka
EKS (Elastic Kubernetes Service)
Elasticsearch
SQL Queries
OOP
Microservice Architecture
Data Structures and Algorithms
DBMS
CI/CD
Kubernetes (K8s)
Git
Docker
Coralogix
Sentry
Azure
VS Code
PyCharm
Websites
Accomplishments
- Gold Medalist at National Cyber Olympiad (2014)
- Web Development Intern at LUSIP - LNMIIT Undergraduate Summer Internship Program 2020
- Coordinated a major tech entrepreneurship startup event TechStars Startup Weekend in collaboration with Google.
Certification
Google Certified - IT Security (05/2020)
Summary
Detail-oriented team player with strong organizational skills. Ability to handle multiple projects simultaneously with a high degree of accuracy.
Projects
FACE RECOGNITION USING PRINCIPAL COMPONENT ANALYSIS
PCA, Machine Learning, Python, Face Recognition,
Developed a face recognition system using Principal Component Analysis (PCA) for dimensionality reduction. Implemented classification with the Support Vector Machine (SVM) Classifier. Achieved 93% accuracy leveraging PCA, eigenvectors, and eigenvalues.
Languages
English
Bilingual or Proficient (C2)
Hindi
Bilingual or Proficient (C2)
Spanish
Intermediate (B1)
Interests
Basketball
Palmistry
Timeline
Software Developer Intern
DELHIVERY
01.2022 - 06.2022
Software Developer
DELHIVERY
6 2022 - Current
Bachelor of Technology -
THE LNM INSTITUTE OF INFORMATION TECHNOLOGY