Kalpesh Patil

Kalpesh Patil

Software Engineer @ TikTok

About

I am a passionate Software Engineer with expertise in distributed systems, full-stack development, and AI-driven applications, currently pursuing my Master’s in Software Engineering at San Jose State University, with coursework in Enterprise Platforms, Distributed Systems, and System Software. I enjoy building scalable applications and solving complex engineering challenges, from developing microservices architectures to creating AI-powered recommendation systems. I have experience building full-stack applications using React, Next.js, GraphQL, and Node.js, deploying with Docker and Kubernetes, and monitoring with Prometheus and Grafana. Proficient in Java, C++, Python, JavaScript, and TypeScript, I am skilled in tools such as React, Tailwind, Redis, RabbitMQ, Kafka, and WebSockets. I’m driven by curiosity, innovation, and continuous learning, and I thrive in collaborative teams solving impactful challenges. Let’s connect! 🚀

Country

United States

City

San Francisco Bay Area

Industry

Computer Software

Skill

Software Observability, Continuous Integration and Continuous Delivery (CI/CD), Software Design, Risk Analysis, Payment Systems, Buy Now, Pay Later (BNPL), API Development, Systems Design, Amazon Web Services (AWS), Redis, Apache Kafka, GraphQL, Docker, Kubernetes, Full-Stack Development, Data Mining, Scalable Web Applications, Distributed Systems, Machine Learning, Feature Engineering

Experience

TikTok

Software Engineer

TikTok

LinkedIn
2026-2 - Present · 8 mos

San Jose, CA

TikTok

Frontend Engineer Intern

TikTok

LinkedIn
2025-5 - 2025-10 · 6 mos

San Jose, CA

• Integrated a Risk SDK into payment flows to detect and block high-risk transactions, improving fraud prevention by 40% through enhanced risk scoring and implementing OTP/PIN verification for suspicious activities. • Developed analytics instrumentation and UI enhancements to increase user engagement during payment interactions, leveraging TikTok’s internal analytics tools to track and validate key performance metrics. • Designed and integrated a smoke testing SDK that mirrors production workflows, enabling early detection of flow discrepancies and implementing automated Slack alerts to accelerate incident response.

LinkedIn

Frontend Developer

LinkedIn

LinkedIn
2022-6 - 2024-7 · 2 yrs 2 mos

• Executed migration from REST APIs to GraphQL for LinkedIn Pages codebase, optimizing data fetching processes and boosting performance metrics. • Collaborated with backend team to implement dynamic components with animations, enhancing UI/UX and integrating TypeScript for improved code reliability. • Migrated emails from Dust.js to Glimmer using Chameleon tool, resulting in a 10% reduction in email rendering time.

LinkedIn

Software Engineer Intern

LinkedIn

LinkedIn
2021-12 - 2022-5 · 6 mos

Pune, Maharashtra, India

• Resolved accessibility bugs for screen reader compatibility, tab focus, and UI issues, enhancing user experience and meeting accessibility standards. • Coordinated code ramping under the Lix using Trex, ensuring smooth transition and managed post-ramp-up cleanup. • Contributed to Agile team's daily Scrum meetings, aiding in timely delivery of key features and enhancements.

Goanny Technologies

MERN Stack developer

Goanny Technologies

LinkedIn
2021-6 - 2021-9 · 4 mos

Pune, Maharashtra, India

• Collaborated on a grocery website built on MERN stack, serving 10 grocery stores and around 1000 customers. • Optimized website performance by reducing API call latency and implementing lazy loading for images and components, resulting in a 20% faster load time. • Designed cohesive UI, integrated Single Sign-On (SSO), and push notifications to enhance user experience.

Education

San José State University

San José State University

LinkedIn

Computer Software Engineering

2024-8 - 2025-12 · 1 yr 5 mos
Savitribai Phule Pune University

Savitribai Phule Pune University

LinkedIn

Computer Science

2018 - 2022 · 4 yrs

Kalpesh Patil's Contact Information

Email

******@***.com

Phone

(**) *** ****

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