Samuel Sunadh

About Samuel Sunadh

At QpiAI, we are transforming data operations with AI-driven innovation. My role as an AI Engineer focuses on leading the integration of Large Language Models to enhance data labeling efficiency, achieving a significant 70% reduction in manual effort. With a foundation in Chemical Engineering from the National Institute of Technology Srinagar and a postgraduate diploma in Data Science and Machine Learning, I architect robust computer vision pipelines and spearhead the development of an LLM-powered automatic annotation system.Leveraging tools like Flyte and Kubernetes, I engineer scalable machine learning workflows that bolster annotation quality and minimize false positives. Our team\'s collaborative spirit enables us to contribute to a culture of excellence in AI, where my proficiency in Python plays a critical role in deploying innovative solutions. My educational journey and hands-on experiences have instilled a strong commitment to driving business success through data-driven analytical decisions and cutting-edge AI applications.

Experience

1. Ai Engineer

   Maitsys

   Feb 2026 — Present · Madurai, IN

   Currently working on building practical, production-ready AI systems, including- AI Agents & Agentic Workflows for task automation, multi-step reasoning, and decision-making- Agentic RAG systems combining tool-using agents with retrieval for accurate, grounded responses- Large Language Models (LLMs) for chat, analysis, summarization, and decision support- Vision-Language Models (VLMs) for understanding images, charts, PDFs, and documents within conversational AI systems- Small Language Models (SLMs) optimized for efficiency, low latency, and cost-effective deployment- RAG (Retrieval-Augmented Generation) pipelines for reliable, citation-backed outputs- Model fine-tuning (instruction, domain-specific, and adapter-based) to improve task performance- End-to-end chatbot and AI assistant development integrated with LLMs, VLMs, and RAG- API development for serving models and agent workflows (REST / streaming inference)- Dockerization & containerized deployments for scalable, reproducible production systems- Deployment of AI services across local, cloud, and GPU environments with monitoring and optimization

Education

• upGrad.com

  Masters PG Diploma

  2021 — 2022

• Vagdevi Junior College

  Intermediate

  2015 — 2017

• National Institute of Technology Srinagar

  Bachelor of Technology - BTech

  2017 — 2021