Headline

Consultant @ Loop AI Group | Artificial Intelligence, Computer Science

About

AI Systems Engineer focused on agentic workflows, digital twin support, and explainable decision systems for robotics and scientific applications. Building human-in-the-loop AI, not hype.

Location

Thrissur

AI stack

claude code

claude

hugging face

langchain

langgraph

ollama

Work experience

Consultant at Loop AI Group - The AI Agents Platform, Aug 2025 - Present · 1 yr 4 mos, United States, Developed modular AI workflow orchestration systems for integrating machine learning nodes into scalable backend pipelines using FastAPI and Python. Built multimodal Voice AI assessment systems capable of generating viva questions from PDF inputs using STT → LLM → TTS pipelines for real-time student evaluation workflows. Designed proprietary scoring algorithms combining NLP, speech prosody analysis, facial expression recognition, and body language tracking for automated student performance assessment. Integrated real-time confidence and behavioral analysis pipelines using audio prosody features, facial emotion detection, and MediaPipe-based posture and gesture tracking. Developed AI-powered music therapy systems using MusicGen with real-time physiological inputs including heart rate and stress metrics to estimate emotional valence and arousal states. Built fuzzy logic–based stress prediction systems using physiological and behavioral parameters including HRV, sleep score, and resting heart rate. Implemented NLP-based text ambiguity detection systems for semantic uncertainty analysis and contextual interpretation workflows. Integrated Explainable AI workflows using EigenCAM for visual interpretation and explainability of computer vision model predictions. Worked with FastAPI, PyTorch, REST APIs, MongoDB, MLFlow, MinIO, MediaPipe, and real-time AI inference pipelines.

AI Engineer at trizlabz, Mar 2024 - Jul 2024 · 5 mos, Trivandrum, Developed a deep learning-based SLAM pipeline for real-time 2D environment mapping using a monocular camera mounted on a mobile robot. Implemented CNN-based visual odometry models to estimate robot motion, orientation, and positional tracking from sequential image frames. Built real-time trajectory visualization and map generation systems for autonomous navigation workflows. Worked with computer vision, deep learning, and robotics pipelines for spatial perception and localization tasks. Collaborated on AI model experimentation, preprocessing pipelines, and inference optimization for robotics applications.

Education

Bachelor of Technology - BTech, Computer Science (Artificial Intelligence & Machine Learning), Sree Chitra Thirunal College of Engineering, Pappanamcode, Thiruvananthapuram

Class 12, Computer Science, Bharatiya Vidya Bhavan's Vidya Mandir Irinjalakuda

Public links

github: https://github.com/Harith100