Mohit Bansal

I am an AI researcher and engineer with expertise in Artificial Intelligence, Machine Learning, Deep Learning, Multimodal Learning, and Agentic AI. I am currently pursuing a PhD in Data Science at Vidyashilp University, where I focus on building intelligent and socially aware AI systems. My work spans conversational AI, speaker verification, emotion-aware systems, fraud detection, and multimodal applications.

I am passionate about developing innovative, real-world AI solutions that create meaningful impact while continuously expanding my technical and research capabilities.

I currently work as a Research Associate at Vidyashilp University, where I develop advanced AI-driven applications, including conversational bots using OpenAI and Gemini LLMs, multimodal cheating detection systems, vehicle re-identification solutions, and law enforcement support platforms. My projects have received recognition at prestigious hackathons and research events, including wins at IISc, ISB, and national-level innovation competitions. Prior to this, I worked at Kaizen Secure Voiz Pvt Ltd as both a Junior Research Engineer and Senior Research Engineer, where I specialized in speaker verification systems, speech denoising, voice biometrics, and deployment of deep learning models such as ECAPA-TDNN, X-Vector, ResNet, and TitaNet.

I also developed web-based AI applications and worked extensively with speech datasets under real-world acoustic conditions.

I am currently pursuing a PhD in Data Science at Vidyashilp University. I completed my M.Tech in Artificial Intelligence Engineering from Presidency University with a CGPA of 9.28. Before that, I earned a B.E in Mechatronics Engineering from The Oxford College of Engineering, graduating with a CGPA of 8.3 and securing 10th rank in my department. My academic background has provided a strong foundation in AI, machine learning, embedded systems, and intelligent automation technologies.