Ridam Kaphle

AI Engineer | Master of Science in Applied Computer Science

Role
Ai Engineer at CareGene AI
Location
Cape Girardeau, MO, US
LinkedIn followers
500 followers
Information TechnologyView LinkedIn profile

About Ridam Kaphle

Hi, I’m Ridam — a Master’s student in Applied Computer Science with 2+ years of experience building data-driven and ML-adjacent systems in production environments. I work primarily in Python and SQL, with experience designing APIs, data pipelines, and backend services that support model deployment, evaluation, and iteration. I’m comfortable working in cloud-based, agile teams and focus on building systems that are reliable, scalable and ready for real-world use.My recent work has focused on my journey as an AI Engineer, deploying a self-hosted LLM on AWS, integrating it with FastAPI and building hybrid RAG pipelines for high-accuracy retrieval. I’ve also designed fine-tuning pipelines with DPO + QLoRA, curating diverse expert preference datasets and leveraging RLAIF for scalable pair generation with RLHF spot checks. This work produced lightweight, low-VRAM adapters while improving model clarity, correctness, and safety. Alongside this, I developed multi-format ingestion workflows with PHI masking, HIPAA-compliant logging, and prompt-injection safeguards to ensure secure and production-ready deployment.I’m especially passionate about using technology to solve real-world problems — from designing secure, production-ready AI pipelines to scaling data-driven systems. At the intersection of software engineering, data, and AI, I’m eager to keep learning, growing, and collaborating with teams who share the same passion for building impactful systems.Let’s connect and build something great! ‍

Experience

  1. Ai Engineer

    CareGene AI

    Oct 2024 — Present · Austin, TX, US

    Built a self-hosted LLM on AWS, integrated with FastAPI and hybrid RAG pipelines (FAISS + E5/SapBERT) for high-accuracy biomedical retrieval. It includes fine-tuning with DPO + QLoRA, PHI masking, HIPAA-compliant logging, and prompt-injection defenses making it a secure, production-grade AI system optimized for real-world use.

Education

  • Sharda University

    Bachelor of Technology - BTech, Information Technology

  • Southeast Missouri State University

    Master of Science - MS, Computer and Information Sciences

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Ridam Kaphle — Ai Engineer at CareGene AI in Cape Girardeau, MO, US | Unifers