- Developed a novel approach for recommendation systems using Large Language Models (LLMs), as part of an industry-supported master's dissertation project in collaboration with Amazon and The University of Edinburgh. - Adopted an agile methodology to collaborate closely with Amazon's Senior Applied Scientists, conducting weekly presentations to showcase progress, gather feedback, and iteratively refine the research approach. - Prototyped, developed, implemented, and optimized… Show more - Developed a novel approach for recommendation systems using Large Language Models (LLMs), as part of an industry-supported master's dissertation project in collaboration with Amazon and The University of Edinburgh. - Adopted an agile methodology to collaborate closely with Amazon's Senior Applied Scientists, conducting weekly presentations to showcase progress, gather feedback, and iteratively refine the research approach. - Prototyped, developed, implemented, and optimized an end-to-end ML pipeline, focusing on fine-tuning LLMs, particularly the Sentence-T5 (ST5) model, for sequential recommendation tasks, demonstrating proficiency in applying domain-specific LLM techniques. - Developed a two-phase pretraining and fine-tuning approach for the ST5 model, creating a recommendation system that outperformed strong baselines across diverse product categories, with performance improvements of up to 121%, and showed potential as a foundational model in the field of recommendation systems. - Documented the entire research process, from conceptualization to implementation and results analysis, showcasing strong technical writing skills and the ability to communicate complex ideas effectively to both technical and non-technical stakeholders. Show less

- Developed a high-impact global canopy height prediction project in collaboration with top scientists at one of India's premier research institutions, contributing to vital climate change and environmental research. - Led the creation of a large-scale global dataset on canopy height and environmental parameters, processing over 10 TB of satellite data from NASA's GEDI satellite using "Pratyush," one of India's fastest supercomputers. - Achieved a remarkable 99% reduction in… Show more - Developed a high-impact global canopy height prediction project in collaboration with top scientists at one of India's premier research institutions, contributing to vital climate change and environmental research. - Led the creation of a large-scale global dataset on canopy height and environmental parameters, processing over 10 TB of satellite data from NASA's GEDI satellite using "Pratyush," one of India's fastest supercomputers. - Achieved a remarkable 99% reduction in dataset compilation time through the implementation of parallel computing, efficient data processing, and optimization techniques, showcasing expertise in large-scale data handling and high-performance computing. - Designed and implemented an end-to-end deep learning models using the XGBoost library to predict canopy height with high precision and mapping global canopy height patterns over time providing crucial insights into biomass distribution and changes in aboveground carbon stocks worldwide. - Effectively managed project timelines and deliverables through regular team interactions, demonstrating strong leadership and collaboration, while thoroughly documenting and presenting the research process, including tailoring presentations for non-technical audiences, to enhance scientific rigor and future application potential. Show less

- Organised and conducted numerous successful placement drives, ensuring a streamlined and efficient process- Contacting and maintaining relationships with employers to secure internship and placement opportunities for students- Coordinating events for students to learn essential skills such as CV building, interview preparation, and career development- Generating and designing reports for placement statistics- Creating brochures, posters, and social media content to promote… Show more - Organised and conducted numerous successful placement drives, ensuring a streamlined and efficient process- Contacting and maintaining relationships with employers to secure internship and placement opportunities for students- Coordinating events for students to learn essential skills such as CV building, interview preparation, and career development- Generating and designing reports for placement statistics- Creating brochures, posters, and social media content to promote events Show less

- Championed the development of a top-ranked deep learning-based recommendation system for Uniswap V3, optimizing liquidity parameters and earning 1st place in an international hackathon. This showcases expertise in building impactful, user-centric AI solutions- Conducted in-depth research and evaluation of DeFi risk metrics from the data, uncovering critical insights that shaped company strategy-Rapidly mastered the application of machine learning techniques within the blockchain and… Show more - Championed the development of a top-ranked deep learning-based recommendation system for Uniswap V3, optimizing liquidity parameters and earning 1st place in an international hackathon. This showcases expertise in building impactful, user-centric AI solutions- Conducted in-depth research and evaluation of DeFi risk metrics from the data, uncovering critical insights that shaped company strategy-Rapidly mastered the application of machine learning techniques within the blockchain and financial domain, demonstrating a self-driven approach to learning cutting-edge technologies Show less

- Awarded "Best Project" in a 100-project internship for developing an innovative social distancing monitoring system while leading a team, demonstrating computer vision skills and commitment to developing impactful, real-world solutions- Implemented advanced deep learning models such as YOLO v4, and Faster-RCNN to detect pedestrians, achieving high accuracy in distance estimation between individuals even in challenging video data- As the first author published a research paper… Show more - Awarded "Best Project" in a 100-project internship for developing an innovative social distancing monitoring system while leading a team, demonstrating computer vision skills and commitment to developing impactful, real-world solutions- Implemented advanced deep learning models such as YOLO v4, and Faster-RCNN to detect pedestrians, achieving high accuracy in distance estimation between individuals even in challenging video data- As the first author published a research paper detailing the system methodology and findings. Demonstrating strong technical writing, research, and knowledge-sharing skills Show less