A passionate MLOps Engineer with expertise in developing scalable machine learning pipelines and cloud-native solutions. I am currently pursuing a Master's in Computer Science and am actively seeking opportunities to apply my skills to complex challenges in Machine Learning and Artificial Intelligence. My goal is to contribute to innovative projects that push the boundaries of AI. My professional background includes leading impactful projects at Tata Consultancy Services, supported by a strong record of published research and industry accolades.
2022 & 2024 at TCS
GPA: 9.33/10.0
7300+ Views, 100+ Citations
Industry-Scale Photovoltaic Forecasting System implemented for Russian power system with enhanced accuracy using machine learning algorithms.
Automated web scraping and machine learning system to predict Supreme Court case outcomes using 70 years of judgment data with TensorFlow and NLP.
Integration of retrospective metering data and weather information using Random Forest Regressor for accurate solar power forecasting.
Comprehensive methodology for renewable energy integration with technical, economic, and environmental criteria for strategic planning.
Autonomous microgrid solution for remote residential power supply with optimal capacity determination and load forecasting.
Ready to collaborate on innovative ML projects or discuss opportunities? Let's connect!