Keyur Parekh

AI Engineer @ Hexaware Technologies

About

Hi, I’m Keyur! I’m a passionate Software Engineer with a strong focus on backend systems, Full Stack Development, and Cloud Computing. I love building scalable, secure, and high-performance applications that solve real-world challenges—whether it’s designing a rock-solid API or crafting a snappy frontend experience. 💻 Tech Stack: Java, Spring Boot, React, Angular, Next.js, Node.js, Django, PostgreSQL, MongoDB, AWS (S3, RDS, Lambda, SageMaker), Docker, Kubernetes, AI/ML and more. 🏢 Experience: As a Front-End Engineer Intern at Scriptchain Health, I focused on optimizing accessibility, performance, and security in a HIPAA-compliant app—boosting Lighthouse scores and slashing load times. At BillDesk, I helped architect a large-scale onboarding portal and enhanced API scalability using AWS ELB—cutting response times by 42% during peak load. At Saajha, I worked as a Full Stack Developer Intern, building a WhatsApp NLP chatbot to streamline communication for thousands of users. ☕ Java is my core strength, and I love designing robust microservices with Spring Boot, tuning performance, and ensuring security at scale. At the same time, I enjoy blending this with modern frontend frameworks and cloud-native tools to deliver end-to-end solutions. 🚀 What Drives Me? The sweet spot where backend architecture meets user-centric design is what fires me up. I thrive on crafting scalable systems, intuitive UIs, and leveraging the cloud to push the boundaries of what tech can do. Recently, I built an AI-powered call center log summarization tool using Hugging Face and LLM APIs—just one example of how I’m always exploring what’s next. 🔄 Always Learning: From diving deep into Java microservices to experimenting with cloud-native AI, I’m constantly exploring new tech. Whether it’s tuning SQL queries or deploying containerized apps with Kubernetes, I’m all in. 🤝 Let’s Connect: I’m currently looking for roles in Java Backend, Full Stack, or Cloud Engineering. If you’re working on impactful products or want to collaborate on something awesome—let’s talk!

Country

United States

City

Seattle

Industry

Information Technology & Services

Skill

LLM, Retrieval-Augmented Generation (RAG), Apache Kafka, Microsoft Azure, Blender, Python, Unity, Virtual Reality (VR), Mixed Reality, C#, Tailwind CSS, Cypress, Material-UI, User Experience (UX), Jest, Web Content Accessibility Guidelines (WCAG), User Interface Design, Core Java, C++, Cloud Development

Experience

AI Engineer

Hexaware Technologies

2025-10 - Present · 1 yr

New Jersey, United States

Software Developer

CNS - Indiana University Bloomington

2025-1 - Present · 1 yr 9 mos

Associate Instructor

Indiana University Bloomington

2025-1 - 2025-5 · 5 mos

Working under the guidance of Professor Filipi Nascimento Silva, this course introduces fundamental Python programming concepts before advancing into the practical applications of AI. Students learn to implement AI techniques in social science, sustainability, health, and design, blending foundational AI principles with emerging technologies to make AI more accessible, usable, and impactful.

Associate Instructor

Indiana University Bloomington

2024-8 - 2024-12 · 5 mos

Bloomington, Indiana, United States

Associate Instructor for CSCI-B 551 Elements of Artificial Intelligence at Indiana University - working under the guidance of Professor David Leake. This course explores the foundational concepts of AI, including machine learning algorithms, knowledge representation, search techniques, and reasoning processes.

Software Developer

ScriptChain Health

2024-6 - 2024-9 · 4 mos

San Francisco, California, United States

[Angular, Python, Django, AWS, Cloudwatch, Sagemaker, PostgreSQL, Testing] • Integrated REST APIs for patient and provider data across Electronic Health Record (EHR) systems, optimizing queries and leveraging caching to handle 5,000+ daily API calls with 40% faster processing times • Designed and deployed a CI/CD pipeline using GitHub Actions, Terraform, and AWS SageMaker for AI prediction models, cutting down deployment time by 34% and boosting operational efficiency • Implemented HIPAA-compliant logging and monitoring frameworks using AWS CloudWatch, setting up real-time log insights for proactive troubleshooting, minimizing mean system downtime by 35% • Implemented a comprehensive testing framework (Automated, Functional, Performance, Unit, System Integration) increasing test coverage by 52%

Software Engineer

BillDesk

2021-8 - 2023-7 · 2 yrs

Mumbai, Maharashtra, India

[Angular, Java, Spring Boot, Typescript, SDLC, Agile, Jira] • Engineered an organization-wide user onboarding portal serving 10,000+ customers, reducing onboarding time by 33% • Optimized Payment API scalability by implementing AWS Elastic Load Balancer and transitioning to a Microservices architecture, improving peak traffic response times by 42% • Migrated from Angular v5 to v12 and SpringMVC to Spring Boot, utilizing profiling tools to diagnose bottlenecks and achieving a 66% reduction in page load times • Mitigated critical CSRF and XSS vulnerabilities by deploying input sanitization and CSRF tokens, aligning with OWASP Top 10 standards and reducing potential security breaches by 30

Full Stack Engineer

Saajha

2020-7 - 2020-9 · 3 mos

[Python, Node, NLP, Javascript, MongoDB, Tensorflow] • Developed a WhatsApp chatbot with Turn.io and AWS Lambda, supporting 2,000+ daily interactions and enabling real-time school communication during COVID-19 • Integrated a BERT-based NLP model with 87% precision into a WhatsApp chatbot, improving complex query intent interpretation and enhancing user experience by 41% • Built a scalable bulk WhatsApp messaging feature in Python, automating outreach to thousands of users and streamlining communication by simplifying manual workload by 70%