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Tejas Vaity

@tejasvaity

Full Stack Developer building scalable Java, Python, React/Angular, and AWS platforms with AI-driven, data-centric solutions.

India
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What I'm looking for

I’m looking for a role where I can build scalable full-stack systems and use AI APIs for AI-enabled, data-driven automation—partnering with teams that value reliability, CI/CD rigor, and user-focused outcomes.

I’m a Full Stack Developer with 4+ years of experience building scalable applications in Java, Python, React, Angular, and AWS. I’m passionate about developing AI-enabled, data-driven solutions—integrating modern AI APIs and intelligent automation to create robust, user-focused systems.

At NSEIT, I architected and developed a high-performance real-time trading platform using Java Spring Boot and Angular. I optimized real-time processing and ETL pipelines with a microservices architecture and RESTful APIs, improved data retrieval speed by 25% using Redis caching and asynchronous pipelines with Kafka consumers, and refined system performance by 20% through thread optimization and efficient resource utilization.

I also led and mentored a 6-member Agile team, managing the full SDLC from sprint planning and code reviews to deployment. Earlier, as a Frontend Developer at Faclon Labs, I built responsive Angular Material interfaces integrated with Java Spring Boot REST APIs and worked on backend services that resolved 95% of production issues within 24 hours.

My research work continues that focus on MLOps and practical reliability. As a Research Assistant at the University of Michigan, I supported MLOps project research and quality assurance, improved CI/CD automation (GitHub Actions, Jenkins), and optimized systems with Docker; in parallel, I built AI projects like a Retrieval-Augmented Generation assistant (Llama 3, ChromaDB, Streamlit) and an AI-powered retail analytics & inventory agent using OpenAI, Python, and GCP.

Experience

Work history, roles, and key accomplishments

NS

Associate System Analyst

NSEIT

Feb 2022 - Jul 2024 (2 years 5 months)

Architected and developed a high-performance real-time trading platform using Java Spring Boot and Angular. Improved scalability and fault tolerance with microservices, REST APIs, Socket Programming, and performance enhancements using Redis, Kafka, and JMS, while leading an Agile team and CI/CD deployments via Jenkins.

Education

Degrees, certifications, and relevant coursework

University of Michigan logoUM

University of Michigan

Master of Science, Computer and Information Science

2026 -

Grade: GPA: 3.93

Pursuing a Master of Science in Computer and Information Science with a GPA of 3.93.

Fr. Conceicao Rodrigues College of Engineering logoFE

Fr. Conceicao Rodrigues College of Engineering

Bachelor of Engineering, Electronics Engineering

Earned a Bachelor of Engineering in Electronics Engineering from Fr. Conceicao Rodrigues College of Engineering (Mumbai University) in 2020.

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