Devops Engineer Machine Learning

Syed Zaid Imam

**************@*****.*** www.linkedin.com/in/syed-zaid-imam-804012176 214-***-****

WORK EXPERIENCE

PAYACTIV (San Jose, California) Jan 2024 — Present

DevOps Engineer

Developed and maintained CI/CD pipelines using Azure DevOps for building and deploying .NET core applications.

Designed a scalable EKS architecture, incorporating best practices for high availability and reliability.

Deployed and configured an EKS cluster, including VPC, subnets, ALBs, EC2-managed nodes, and containerized applications.

Create and deploy Automation flow for network and security configuration.

HYSAB KYTAB INC (Fintech Startup) Jan 2016 — Dec 2018

Product Development

Implemented NLP and machine learning for automated expense categorization and tagging, reducing 14% in manual workload.

Data Engineering and Migration through heterogeneous data sources using Python programming and ETL.

Facilitated cross-functional teams in a fast-paced environment, encouraging rapid prototyping and iterative design.

Implemented CI/CD pipelines to automate deployment and testing processes, accelerating product release cycles and enhancing code quality.

Jaffer Business Systems Aug 2014 — Aug 2015

Technical Support Engineer

Played a key role in the successful migration of a customer’s infrastructure to a cloud-based environment, resulting in a 50% reduction in hardware costs and improved scalability.

Developed and implemented a comprehensive a comprehensive knowledge base system, resulting Authored comprehensive documentation to maintain high quality across the teams.

EDUCATION

Wichita State University: Master of Science (Computer Science) Sir Syed University of Engineering and Technology: Bachelor of Science (Computer Engineering)

PROJECTS

Web Scrape Stock Market Predictor (Python)

Developed a predictive model with 84% accuracy using python by aggregating data from various sources.

Extracted stock profiles of the most active, top gainers and losers from heterogenous webpages in addition to corresponding open, close, volume and market cap values to develop model for the future stock prices.

Cloud Based Disaster Recovery Solution (AWS, Python, Docker)

Architecture and implemented a disaster recovery solution using AWS S3 for secure, scalable storage and EC2 for compute. recovery in case of failure, ensuring business continuity.

Deployed Docker containers on AWS ECS to ensure a seamless failover process, reducing downtime by 70%.

Integrated AWS CloudWatch and Lambda to monitor key performance metrics and automate incident response, reducing the MTTR by 40%

IOT based smart fire system (Linux, Python, Android)

Engineered a scalable and efficient system architecture, incorporating microcontrollers (e.g., Arduino, Raspberry Pi, actuators) and wireless communication technologies, ensuring reliable data transmission and real time alerts to users.

Enhanced the fire brigade system by integrating Android application with the hardware accelerators for real time surveillance.

Spearheaded a project documentation paper consisting of eighty pages of all the work done in two semesters.

SKILLS

Languages: Python, Java, SQL, Linux

Web Frameworks & Technologies: Dockers, Kubernetes, AWS (Certified), GCP, Kibana, Grafana, Prometheus

Databases: MySQL, PostgreSQL, MongoDB, Elastic search,

Networking/Security: TCP/IP, VPN, Firewalls, IP Routing, HTTP, DNS, DHCP, SNMP, SSH,

CERTIFICATIONS

AWS Cloud Practitioner (Validation No: Q29KT3T2QFRQ1B9D)

AWS Solutions Architect Associate (In progress)

PCCET (In progress)

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