Rituraj Singh

I am Senior Chief Engineer at Samsung Research, Bengaluru, India. I love to train large language and multimodal models with a focus on Generative AI with an applications in Reasoning Systems, Virtual Assistants and recently agentic based systems. I am fascinated by the potential of these models to understand and reason. I am deeply interested in making these advanced models more accessible by optimizing them to run on edge devices through techniques like distillation and pruning. With an industry experience of 6+ years, I am driven to push the boundaries of cutting-edge AI and deep learning technologies.

I pursued my PhD at INRIA, IRISA research center at Rennes, France. My thesis is entiled as Data Centric Workflows for Crowdsourcing Applications, co-advised by Dr. Loic Helouet and Dr. Zoltan Mikols. I was a member of DRUID and SUMO team. My PhD research focus was on developing algorithms for crowdsourcing applications, to propose formal model for complex workflows for crowdsourcing and developing human-in-loop algorithms by applying probabilistic based techniques and latent variable models.

Before I joined my PhD, I was working as a Researcher at Tata Consultancy Services (TCS) Research & Innovation Lab, Kolkata, India. I worked on various problems (outlier detection, noise cleaning, disease classification) related to healthcare and sensor data. I graduated from the Computer Science department of IIT Patna in June, 2015. During my masters, I wrote my master thesis under supervision of Dr. Ashok Singh Sairam entitled "Push based User Selection in Crowdsensing".

My research areas are Natural Language Processing, Machine Learning, Bayesian Models, Human Centric AI, in broad Artificial Intelligence and Computer Science.

I am open to new opportunity, project, teaching, and collaborations. Please feel free to contact me.

news

Nov 1, 2021

I recently joined TCS Research as full-time researcher.

Oct 31, 2021

I am delighted to share the news that my thesis Data Centric Workflows for Crowdsourcing Applications is awarded best thesis prize at BDA2021

May 7, 2021

I defended my PhD thesis entitled “Data Centric Workflows for Crowdsourcing Applications”. I am forever indebted to my supervisors Loic Helouet and Zoltan Miklos for their kind support.

Feb 3, 2021

I am giving practical classes (TP, in french curriculum) of Deep Learning course using tensorflow and keras.