Professional Experience: Data Scientist at Costrategix Technologies (Jun 2023 – Present), responsible for generating synthetic datasets for machine learning and generative AI models, enhancing organizational products for market differentiation. Previously, served as a Machine Learning Engineer at Continental AG (Oct 2020 – Jun 2023), managing data processing and implementing algorithms to optimize models for business solutions.
Academic Background: Holds a Master of Technology in Machine Learning and Computing from the Indian Institute of Space Science and Technology, and a Bachelor of Technology in Computer Science and Engineering from the Central Institute of Technology, Kokrajhar.
Key Projects: Developed a GenAI-powered Smart QA-Assistant (2024) to streamline QA processes, reducing task completion time from two days to under an hour. Also worked on a SQL AI Assistant (2024) that translates natural language queries into SQL, enhancing user accessibility to data.
Research and Publications: Published a paper titled “Caption Generation for Traffic Signs Using a Deep Neural Scheme” at the SAE International Conference (2022), demonstrating expertise in deep learning and neural networks.
Technical Skills: Proficient in Python, TensorFlow, Keras, PyTorch, OpenCV, and other machine learning frameworks. Strong background in databases (MySQL, MongoDB) and cloud technologies such as AWS, MS Azure, and GCP.
Certifications and Specializations: Microsoft Certified: Azure Data Scientist Associate, with expertise in GenAI, LLM fine-tuning, prompt engineering, and advanced machine learning techniques, ensuring innovative solutions in AI-driven product development.