Open to opportunities

Ayaz Saifi

@ayazsaifi

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Computer Science student specializing in AI/ML, building scalable cloud-native systems.

India

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What I'm looking for

I seek engineering roles where I can build scalable cloud-native systems and AI solutions, work with cross-functional teams, and grow in a collaborative, mentorship-driven environment.

I am a Computer Science undergraduate specializing in AI/ML with hands-on experience building cloud-native microservices, real-time financial transaction systems, and AI image-restoration models. I combine practical full-stack engineering (Spring Boot, Kafka, Docker, Kubernetes) with deep learning development in PyTorch and TensorFlow to deliver scalable, production-ready solutions.

I've completed virtual internships at JPMorgan Chase & Co. and Deloitte, led a Google Developer Student Club community to grow membership over 1,300+, and shipped projects demonstrating observability, multi-language microservices, and real-time APIs. I prioritize clean architecture, measurable model improvements, and mentoring peers while driving impact through open-source and cloud automation.

Experience

Work history, roles, and key accomplishments

Software Engineer Intern

JPMorgan Chase & Co.

Jun 2025 - Jun 2025 (0 months)

Developed a real-time financial transaction system using Spring Boot, Kafka, and H2 following MVC architecture; implemented RESTful APIs with asynchronous Kafka producers/consumers to enable secure, low-latency, high-throughput data streaming.

Spring Boot Kafka RESTful APIs Microservices Docker Java Asynchronous

Data Analytics Intern

Deloitte

May 2025 - May 2025 (0 months)

Performed advanced data analysis and forensic audits on large datasets using Tableau and Excel, uncovering key business risks and translating insights into strategic risk management actions.

Data Analysis Tableau Excel Business Intelligence SQL Risk Management

Education

Degrees, certifications, and relevant coursework

Sharda University

Bachelor of Technology, Computer Science Engineering

2022 -

Pursuing a Bachelor of Technology in Computer Science Engineering with specialization in AI/ML, coursework and projects focused on cloud-native systems, machine learning, and software engineering.