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Utkarsh Malaiya

@utkarshmalaiya

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AI/ML and robotics student building scalable ML platforms and LLM pipelines.

India

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What I'm looking for

I’m looking to build production-ready AI/ML and LLM backends—scalable, fault-tolerant systems with measurable impact—while partnering across ML and robotics to ship real deployments.

I’m an AI/ML-focused developer and robotics enthusiast who loves taking models from idea to deployment. I’ve worked across end-to-end ML development, backend architecture, and real-time systems, always with an emphasis on reliability and measurable performance.

As Technical Inner Core Member at Google Developers Group on Campus, I spearheaded TruthSense, an AI-driven speech coaching platform—serving as both Lead ML Developer and Project Manager. I also architected and maintained a high-availability Recruitment Portal backend, improving data flow for thousands of applicants through rigorous debugging and admin optimizations.

In CS & Autonomous Team, I designed and developed a ROS2 and MavLink-based control stack for an Autonomous Underwater Vehicle with 6 degrees of freedom. I fine-tuned YOLOv11 for underwater gate detection, deployed it on Jetson Orin Nano, and achieved mAP of 0.97 and accuracy of 85%.

At xWell Technologies, I built a multi-tenant healthcare-AI backend using in-context learning with LLMs. I integrated LangChain, Pinecone, and Azure Blob Storage, implemented async fault-tolerant processing, and improved latency with retrieval-augmented generation (RAG) and parallel async execution.

Experience

Work history, roles, and key accomplishments

Technical Inner Core Member

Google Developers Group on Campus

Jul 2025 - Feb 2026 (7 months)

Led end-to-end development and deployment of TruthSense, an AI-driven speech coaching platform, managing ML development and project execution. Built and maintained a high-availability recruitment portal backend for thousands of applicants by optimizing admin workflows and debugging critical issues.

Backend Development High Availability Debugging Admin Portal Optimization Project Management

CS & Autonomous Team Member

Team VAUV (VIT Vellore)

Jul 2025 - Jan 2026 (6 months)

Designed and developed a ROS2 and MavLink control stack for a 6-DOF autonomous underwater vehicle (AUV). Fine-tuned YOLOv11 for underwater gate detection and deployed it on Jetson Orin Nano, achieving mAP of 0.97 and accuracy of 85%.

AUV Control Stack YOLOv11 Object Detection Jetson Orin Nano

AI/ML Backend Developer

Xwell Technologies

Jul 2023 - Oct 2023 (3 months)

Built a multi-tenant healthcare-AI backend that generated personalized healthcare plans using in-context learning with LLMs. Implemented RAG-based pipelines with LangChain, Pinecone, and Azure Blob Storage, using asynchronous scheduling to improve fault tolerance and response latency.

RAG LLM In Context Learning Pinecone Azure Blob Storage Fault Tolerance Prompt Engineering

Education

Degrees, certifications, and relevant coursework

Vellore Institute of Technology

Computer Science Engineering

2024 -

Grade: GPA: 9.45

Pursuing a degree in Computer Science Engineering with a GPA of 9.45. Coursework includes Object-Oriented Programming, Data Structures and Algorithms, Linear Algebra, and Discrete Mathematics.