2+ years of full-stack experience building robust systems with Java/Spring Boot, ReactJS, SQL, NoSQL, and RESTful APIs. Skilled in designing scalable event-driven architectures and integrating applied AI solutions. Seeking full-time opportunities.
Hi, I'm Tanishq, a Master's student at UC Irvine and a former JPMorgan Chase developer who enjoys breaking things just to figure out how to scale them, usually with Java, Spring Boot, Kafka, and applied AI (plus snacks). I build robust backend systems that handle millions of daily transactions, and I love figuring out how to actually deploy intelligent LLM models into real products rather than just experimenting with them. My days involve REST APIs, event-driven architectures, fine-tuning models, and way too many console.logs, all fueled by tea and curiosity. When I am not coding, you can find me competing in hackathons, building projects, brainstorming startup ideas, or passionately explaining why "it works on my machine" is still a completely valid argument.
Java, Python, C++, JavaScript, React, Next.js, TypeScript, SQL, Flask
Masters of Computer Science - University of California, Irvine GPA - 3.95/4.0
2+ years of my professional timeline: The code I have shipped and the lessons I have learned.
Analyzing 1.2M+ PR reviews to study GenAI adoption, mentorship, and review behavior.
Re-architected backend workflows migrating from mainframe to Kafka.
Developed full-stack platforms and optimized Spring Batch cron workflows.
Automated data consolidation and enhanced CI/CD pipelines.
Built automation tools for compliance and validation.
From late-night IoT experiments to production-ready web apps, here is what happens when curiosity meets code
LLM Speech-to-JSON Pipeline
Web Scrapping Tool
IoT & Automation
IoT & Automation
Web App
Web App
Web App
Web App
Game with LUA
Web App
Validating my skills with industry-recognized credentials and continuous learning.
Amazon Web Services
Validated expertise in developing and maintaining applications on the AWS platform.
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Amazon Web Services
Foundational understanding of AWS cloud concepts, security, and technology.
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IBM
Comprehensive training in data analysis libraries like Pandas, NumPy, and Scipy.
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Harvard University
rigorous introduction to the intellectual enterprises of computer science and the art of programming.
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Coursera
Deep dive into logic gates, boolean algebra, and processor architecture.
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LinkedIn
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