Machine Learning Engineer & AI Developer specializing in Computer Vision, NLP, and LLM Applications
I'm Kokou Elvis Khorem Blitti, a B.Tech graduate in Computer Engineering - Artificial Intelligence from Marwadi University with a stellar 9.51/10 GPA.
With 2+ years of hands-on experience, I specialize in building intelligent ML-powered applications, deploying scalable solutions on cloud platforms (GCP, AWS), and integrating cutting-edge LLMs into production systems.
My work spans computer vision, natural language processing, and multi-agent AI systems. I've led development teams, published research in IEEE conferences, and delivered award-winning projects that solve real-world problems.
Amenity Technologies | July 2025 - Present
Qualicio Tech | Feb 2025 - July 2025
Amenity Technologies | June 2024 - Dec 2024
PahiLabs | Sept 2022 - Sept 2024
AI-driven smart glasses with real-time audio descriptions, environment navigation, and text reading for visually impaired users.
LLM-powered training platform automating salesperson training with RAG pipelines and interactive simulations.
Sophisticated multi-agent system showcasing LLM-based agent architectures with collaborative problem-solving.
Comprehensive healthcare platform with CV-based diagnosis, NLP patient interaction, and clinical decision support.
Fine-tuned BioMistral on custom first-aid dataset creating an intelligent emergency response chatbot.
LLM-powered content generation tool for automated Twitter posting on user-specified topics with engagement optimization.
Conversational AI tool enabling natural language interaction with PDF documents using RAG architecture.
News aggregation platform with real-time sentiment analysis and trend detection using LLMs.
Computer vision system for converting 2D building images to interactive 3D representations with region selection.
Full-stack biomedical research portal enabling data analysis, visualization, and collaboration for researchers.
Advanced multi-factor authentication platform preventing phishing attacks with ML-based threat detection.
Deep learning disease detection system using advanced CNN architectures for medical imaging diagnostics.
APSCON 2024 | IEEE
Deep learning approaches for heart sound classification using advanced frequency domain feature extraction techniques.
Authors: K.E.K. Blitti, F.G. Tola, D. Kumar, A. Diwan
Read PaperTENSYMP 2024 | IEEE
Ensemble model approach for robust pneumonia detection from chest X-rays using state-of-the-art deep learning.
Authors: K.E.K. Blitti, F.G. Tola, A. Diwan, R. Mahadeva
Read PaperTENSYMP 2024 | IEEE
CNN with transfer learning for automated agricultural disease detection, improving crop health monitoring.
Authors: F.G. Tola, K.E.K. Blitti, A. Diwan, R. Mahadeva
Read PaperTENCON 2024 | IEEE
Ensemble learning study on Celeb-DF dataset for improved deepfake video detection accuracy.
Authors: F.G. Tola, K.E.K. Blitti, R. Sunil, A. Diwan
Read PaperI'm always open to discussing new projects, creative ideas, or opportunities to be part of your vision.