I am a PhD scholar at IIT Delhi, where I am pursuing a degree in Computer Technology with a focus on natural language processing (NLP) and recommender systems (RecSys). I am passionate about applying cutting-edge AI and ML techniques to solve real-world problems and create social impact. Currently, I am working as a Research Assistant at the Laboratory for Computational Social Systems (LCS2), where I am involved in various projects related to NLP and RecSys. I have developed and integrated a user recommendation engine with the Frolic application, fine-tuned a NSFW model to detect explicit images using semi-supervised learning, and researched on game fraud detection. Previously, I worked as a Software Engineer - MLOps at India Urban Data Exchange (IUDX), a research project initiated by the Ministry of Housing and Urban Affairs (MoHUA) with the Indian Institute of Science (IISc), Bangalore. There, I contributed to the development of the statistical and predictive big data analytics pipeline using open-source tools such as Apache Flink, Kudu, Superset, Minio, Airflow, Spark, etc. I also have experience as a Deep Learning Developer Intern at TensorMatics and an AI/ML Intern at OurSelfStudy. My core competencies include Dialogflow, Docker Swarm, Rancher Kubernetes Management, Python, Machine Learning, Data Analysis, and Data Science. I have obtained multiple certifications from Coursera on these topics. I am also proficient in English and Hindi. I am always eager to learn new skills and technologies, and collaborate with other researchers and professionals in the field. My goal is to advance the state-of-the-art in NLP and RecSys, and create innovative and impactful solutions for various domains and applications.