Blesson C Biju

About Blesson C Biju

AI Engineer is responsible for designing, developing, and deploying artificial intelligence (AI) solutions that enable machines to perform tasks requiring human-like intelligence. The role combines skills in machine learning (ML), deep learning (DL), data engineering, and software development to build intelligent applications and systems.Model Development: Build, train, and fine-tune machine learning and deep learning models for tasks such as NLP, computer vision, speech recognition, and recommendation systems.Data Preparation: Collect, clean, preprocess, and analyze structured/unstructured datasets to ensure high-quality input for AI models.AI Integration: Deploy AI models into production using APIs, microservices, or cloud platforms (e.g, AWS, Azure, GCP).Research & Innovation: Explore new AI/ML frameworks, libraries, and tools to keep solutions cutting-edge.Optimization: Improve model accuracy, efficiency, and scalability through hyperparameter tuning, feature engineering, and algorithm optimization.Collaboration: Work with cross-functional teams (data scientists, data engineers, software developers, business analysts) to integrate AI solutions into business workflows.Monitoring & Maintenance: Ensure AI systems remain accurate and reliable by monitoring performance and retraining models as necessary.

Experience

1. Ai Engineer

   Adam Finastra

   May 2025 — Present · Kozhikode, IN

   As an AI Engineer, you specialize in designing, developing, and deploying intelligent systems that leverage machine learning, deep learning, and natural language processing. You collaborate with cross-functional teams to integrate AI-driven solutions into real-world applications, ensuring scalability, performance, and business impact.Develop and fine-tune machine learning models for tasks such as classification, prediction, emotion detection, and recommendation systems.Work on end-to-end AI pipelines, from data preprocessing, feature engineering, and model training to deployment in production.Build and integrate chatbots and AI-powered assistants using frameworks like Rasa, spaCy, Hugging Face, and APIs (OpenAI, Gemini, etc.), tailored for customer service, FAQs, and real-time interactions.Deploy AI applications with Flask, FastAPI, or Django, connecting frontend systems (React, Bootstrap) to backend AI services.Implement computer vision projects such as face recognition, image classification, and emotion detection using TensorFlow/Keras and transfer learning techniques.Work on AI-driven recommendation systems and predictive analytics to support business decisions.Ensure scalability by deploying solutions on cloud platforms (AWS, Azure, GCP) and containerization tools like Docker.Collaborate with product managers and stakeholders to translate business needs into AI solutions that enhance customer experiences and operational efficiency.Continuously research and experiment with cutting-edge AI models to bring innovative solutions to production.

Education

• Mar Baselios Christian College of Engineering and Technology, Peermade

  Bachelor of Technology - BTech

  2020 — 2024