Pranit Mandloi

About Pranit Mandloi

As a LLM Trainer at Turing and previously a Full-Stack Developer (Java) at Rakuten Symphony, I specialize in delivering advanced AI solutions using Supervised fine-tuning (SFT), Function Calling a technique for improving the performance of large language models (LLMs) by training them on labeled data. I have collaborated on impactful projects for Turing, Rakuten Mobile and 1 & 1, consistently driving innovation and performance.I am a skilled developer with strong expertise in both frontend and backend technologies.My skills include:AI: Supervised fine-tuning (SFT), Function CallingBackend: Java, Python, C++, C Frontend: Angular 13, TypeScript, JavaScript, HTML5, CSS/SCSS Frameworks: Spring Boot, Hibernate, AngularJS, Angular Material Databases: Neo4j, Redis Graph, Janus Graph, NoSQL, MySQL APIs: RESTful APIs with Swagger Project Management: Proficient in JIRA Testing: JUnit, Mockito Tools: Visual Studio Code, Git, IntelliJAt Turing, I have been recognized as one of only 28 engineers out of thousands for my work in developing and fine-tuning Knowledge Graph and Complex Reasoning solutions. I also earned Turing\'s first-ever \"Hero of the Month\" award for my contributions in building easy-to-use AI labeling tools and creating thousands of fine-tuning tasks.During my time at Rakuten Symphony, I successfully migrated the Network Navigator module from Gremlin to Redis Technology, improving execution speed for the Symbuild project. I led the development of the Correlation and Affected Node APIs for network topology display, earning top-performer recognition for two consecutive quarters.With a strong technical background and an agile mindset, I am dedicated to delivering high-quality solutions and driving innovation in every project. Let\'s connect!

Experience

1. Delivery Lead

   Turing

   Dec 2025 — Present · Palo Alto, CA, US

   Lead a multilingual Instruction Following program, overseeing 200+ LLM Trainers across diverse languages and time zones. • Design clear tasks for instruction following and LLM training to ensure high-quality outcomes. • Implement robust validation workflows for instruction quality and label consistency, enhancing overall delivery.

Education

• Shri Vaishnav Vidyapeeth Vishwavidyalaya, Indore

  Bachelor of Technology - BTech, Computer Science with Specialization in IBM big data analytics