Tuhin Kumar Singha Roy

AI Researcher and Machine Learning Engineer specializing in Green AI, sustainable model architectures, and efficient deployment. Proven track record of developing cost-effective, low-latency AI solutions, including confidence-aware routing networks that significantly reduce reliance on resource-heavy LLMs. Experienced in driving agricultural sustainability through AI-powered crop diagnostics and executing end-to-end RAG pipelines for deep research analysis.

Adept at bridging the gap between rigorous academic research and scalable, production-ready AI systems to reduce computational costs and environmental impact.

Technical Project Intern & Junior Faculty at Ardent Computech Pvt. Ltd. (2026-01 – 2026-05)

• Delivered applied ML and Python training to student cohorts, covering Pandas, NumPy, and end-to-end ML model development, translating concepts into hands-on exercises.
• Built end-to-end email automation workflows using n8n, integrating 3 platforms (Google Forms, Sheets, Gmail) to mentor students on lead management pipelines.
• Ran AI productivity workshops using ChatGPT, Claude, Gamma AI, and NotebookLM to train participants in AI-generated presentations and data analysis.

Artificial Intelligence / Machine Learning Intern at Edunet Foundation (2024-12 – 2025-02)

• Built and deployed a basic TensorFlow/Keras CNN (avoiding heavy transfer learning models) achieving 85%+ validation accuracy on 38-class plant disease classification using a 63,000+ image dataset.
• Developed a production ML pipeline for crop recommendation reaching 90% prediction accuracy, managing 1,000+ farm records via a Flask web service.

AWS Cloud Practitioner Intern at IEMA Research & Development Pvt. Ltd. (IEMLabs) (2025-07 – 2025-10)

• Achieved an A+ grade in a 40-hour AWS program by mastering core services including EC2, S3, IAM, Auto Scaling, and Serverless Architecture.
• Deployed and managed production web resources on AWS, demonstrating strict adherence to cloud architecture and operational excellence.

Artificial Intelligence / Machine Learning Intern at Hive Tech (2025-01 – 2025-08)

• Contributed to full-lifecycle development of AI/ML and Deep Learning models, from solution architecture and prototyping to evaluation and iteration.
• Deployed ML prototype models to AWS (EC2, S3) and established version control standards, enabling a clear path toward MLOps-ready workflows.

Bachelor of Technology in Computer Science & Engineering (AI & ML) – MCKV Institute of Engineering (2026)