Hi, I'm Maqsood
A Cloud AI/ML engineer uncovering the architecture of thought and advancing the frontier of intelligence by designing scalable systems that carry us toward what comes next.
About Me
I am a Senior Cloud Engineer and AI/ML Developer with over 4 years of experience designing and deploying cloud-native solutions. My expertise lies in building scalable, event-driven architectures on AWS and integrating cutting-edge AI/ML technologies.
Currently pursuing my Masters in Computer Science (AI/ML) at the University at Buffalo, I combine academic rigor with practical industry experience. I have a proven track record of reducing costs, improving system reliability, and delivering innovative AI solutions like generative AI assistants and anomaly detection systems.
Education
Masters in Computer Science (AI/ML)
University at Buffalo - New York
Aug 2025 – Present
Key Achievement
Shooting Star Award (2024)
LTIMindtree
For key contributions in Cloud Engineering
Technical Skills
Programming Languages
Cloud Computing (AWS)
AI & Machine Learning
DevOps & Infrastructure
Databases
Certifications
Featured Projects
Professional Experience
Senior Cloud Engineer
- •Designed and deployed cloud-native solutions across multiple enterprise projects, replacing legacy systems with scalable, event-driven architectures on AWS, achieving 30% cost reduction and 99.9% uptime.
- •Built more than 100 high-performance APIs and serverless ETL pipelines, improving outage detection and customer alerting speed by ∼40% for over 500K+ customers.
- •Implemented anomaly detection and real-time alerting in the energy trading platform, reducing trading risks by 25% through early detection of pricing anomalies.
- •Collaborated with data science teams to automate hydro and budget forecasting models, reducing report generation time from 3 hours to 20 minutes.
- •Developed and deployed smart meter–based proactive outage alert system using AWS and Twilio, handling ∼2M daily events and reducing storm-time calls by 35%.
- •Architected real-time Socket APIs and integrated Amazon Kendra with AWS Bedrock (Claude); delivered a Generative AI assistant for natural language enterprise search.
- •Automated CI/CD pipelines (Jenkins) across all environments, reducing deployment time by 60%.
Cloud Intern
- •Collaborated with cross-functional teams to execute cloud migration initiatives on AWS, enhancing scalability and application performance.
- •Implemented and maintained AWS CloudWatch alarms and dashboards tracking 15+ key metrics, reducing incident response time by 30%.
- •Engineered event-driven and serverless architectures leveraging AWS Lambda, Amazon S3, and Amazon SNS.
Publications & Awards
Publications
An Approach to Translate Human Gestures into Telugu
International Journal of Scientific and Technology Research (IJSTR) • 2022
Read PaperAwards
Shooting Star Award
LTIMindtree • 2024
Recipient of the Shooting Star Award for key contributions in the Cloud Engineering Pillar at LTIMindtree.
Get In Touch
Have a project in mind or want to discuss cloud solutions? Send me a message!