United States Machine Learning

Syed Altaf Ahmed

Texas, United States of America ************@*****.*** +1-657-***-**** LINKDN

Education

Westcliff University, Irvine CA, United States of America Aug 2024 MBA Information Technology – Current CGPA: 4.0/4.0

Coursework: Database Systems, Machine Learning, Artificial Intelligence, Computer Algorithms, Object Oriented Languages and Environments, Visual Data Science, High-Performance Processors and Systems, Geometric data structures, Quantum Computing.

OSMANIA UNIVERSITY, India May 2019

Bachelors in Commerce

Skills

Languages: JavaScript, TypeScript, React, Next.js, Node.js, HTML 5, CSS 3

Frameworks and Libraries: ASP.Net Core, Angular.js, Flask, scikit-learn, pandas, NumPy

Database: MongoDB, PostgreSQL

DevOps Tools: Docker, Kubernetes, Terraform

Experience

ALStream Tech,

Cloud Engineer – Web Development, Chicago, United States of America Nov 2024– Present

●Design and implement AWS cloud infrastructure to support scalable, high-volume SaaS applications

●with a focus on high availability, security, and disaster recovery.

●Automate AWS resource provisioning using Terraform, ensuring consistent and efficient deployment across environments.

●Leverage Ansible for infrastructure automation, enhancing scalability, system management, and reducing manual tasks.

●Build and maintain CI/CD pipelines using GitLab CI/CD, integrating automated testing and code deployment for seamless software releases.

● Develop and optimize React.js components, focusing on performance improvements like lazy loading and code splitting to reduce page load times.

●Confirms program operation by conducting tests, modifying program sequence and/or codes.

●Analyze and assess existing business systems and procedures.

●Maintain Linux-based servers by performing regular updates, monitoring, and patch management to

●boost performance and security.

Tech mahindra

Software Engineer, Hyderabad, India. Mar 2021 – Feb 2022

●Implement frontend optimizations using modular React.js templates, accelerating development timelines and reducing project costs

●Utilize tools like Splunk for log aggregation and real-time analysis, improving system monitoring and reducing troubleshooting times.

●Enhanced lab security by implementing software patches within 24 hours of release, reducing vulnerability exposure.

●Configured hardware, and software to optimize workstation setups resulting in a 30% productivity boost

●Integrated EC2 instances with S3 and VPC, optimizing communication between virtual machines and containerized services, resulting in a 30% boost in network performance.

●Optimized web application performance by applying asynchronous JavaScript techniques, reducing load times by 40%.

[24]7.ai

Software Engineer, Hyderabad, India. Jul 2019 – Jul 2021

●Set up Kubernetes clusters, achieving a 40% reduction in deployment time and enhancing scalability for SaaS applications

●Containerized applications using Docker, overseeing EKS clusters to streamline deployment processes by 50%

●Automated infrastructure provisioning with Terraform (IaC), reducing deployment time for critical SaaS

components.

●Managed source control using Git and GitHub, ensuring efficient collaboration and code versioning across development teams.

●Established and maintained CI/CD pipelines in GitLab, reducing deployment errors by 40% and speeding up release cycles by 30% for SaaS applications.

●Automated routine tasks with Python scripts integrated into AWS Lambda, reducing manual intervention.

●Monitored SaaS application infrastructure using Grafana, improving response times to critical issues by 60%.

●Assist in defining software development project plans, including scoping, scheduling, and implementation.

●Developed and maintained single-page applications (SPA) for SaaS platforms using React.js and Redux, leading to improvement in user engagement.

Projects

●Visualization of Amino Acid protein Sequence Oct 2022 – Nov 2022 Developed and implemented an innovative amino acid protein sequence visualization method using HTML, CSS, Javascript, Three.js, and D3.js, enabling UIC botany department faculty to identify variations in amino acid folds and pinpoint regions with the highest variability. Reduced analysis time by 50%.

●Automated Essay Evaluation Jan 2020 – Sept 2020

Developed a robust application using Natural Language Processing, Machine Learning, and Flask frameworks to automate essay evaluation, significantly improving grading efficiency and accuracy. Utilized NLP techniques for data processing, syntax filtering, semantic analysis, and sentiment analysis. Achieved precise essay scoring using prediction metrics (Quadratic Weighted Kappa), enhancing the grading system with almost 91% accuracy.

●Image Captioning using Deep learning Aug 2020 – Nov 2020 Using Deep Learning and Python frameworks scikit-learn, pandas, and NumPy trained and built the recurrent neural network convolution neural network and LSTM to achieve image captioning and expressing information of pictures into natural language. Used CNN for feature extraction and RNN for sentence generation. Different ensembling methods and Bleu scores are used to improve the accuracy.

●WeBlog Jan 2019 – Mar 2019

Using Flask and SQLite built a web application that allows users to share their ideas in the form of a post in a public mode (with friends) or in a private mode (which can be viewed by the author only). Users can react to the post by either liking, sharing, or commenting.

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