Masters of Technology (Mtech) in Artificial Intelligent Systems

Singapore

Relevant course work: Intelligent reasoning systems, Cognitive Systems, Pattern recognition using Machine Learning, Deep learning, Practical Language Processing, NLP, LLMs, Automation, RPA, IPA

Bachelor of Engineering (BE) - Computer Engineering

India

BE computer science course and received roll of honour for securing highest GPA of 9.43/10 across all branches in Atharva College of Engineering

Research Engineer

• Fine-tuned and trained computer vision models on SAR/remote sensing datasets, targeting ionospheric and geospatial applications.
• Deployed and optimized inference on AMD Versal VCK190 AI Engine, leveraging C++ for efficient edge AI execution.
• Explored distributed learning and signal processing workflows bridging supercomputing and embedded AI.

AI Intern

• Developed and fine-tuned LLMs for AmpleGPT, facilitating interactive RFQ data responses for sales
• Deployed models on Alicloud Linux GPU server, established CI/CD pipelines, and integrated FastAPI for backend development, optimizing the overall system efficiency.

Scientist/Engineer SC

• Spearheaded development of a GAN model for optical image translation in SAR data, tested on more than 10,000 images, and achieved a high accuracy rate.
• Developed a framework for global spatial data access and instant calculations with a 5-10 second response time, improving business operations and reducing user wait time.
• Led a team of 5 developers in creating a high-performance computing geolocation framework, optimizing existing processes by 50%.
• Created an ML model for ship detection and classification in SAR datasets with an accuracy rate of approximately 95%.
• Innovated an automated system for data quality assessment, reducing QA operations time by more than 60%.
• Mentored a team of four junior scientists in SAR sea ice identification, achieving an accuracy rate of around 95%.
• Designed an advanced geospatial photograph annotation tool, improving data accuracy and streamlining annotation processes, resulting in a 30% reduction in annotation time and enhancing data visualization and analysis capabilities.

Programmer Analyst (Contract)

• Created a C# and WPF-powered runtime configuration system, resulting in a 40% reduction in application launch time.
• Enhanced healthcare operations with a user-friendly WPF interface, improving data accuracy and reducing administrative workload by 20%.

Software Trainee

• Developed scalable backend APIs for travel management, invoicing, and inventory systems.
• Improved system performance by reducing response times up to 70% and automating manual workflows.
• Expedited page load times by optimizing 4 pivotal APIs and seamlessly integrating Monaco Editor for enhanced code writing, leading to a 50% reduction in response time.
• Pioneered and implemented APIs for cruise and tour invoicing, inventory management, and order booking, revamping operations, and relieving manual tasks, delivering a significant 40% reduction in processing time.

Application Development Associate

• Automated incident management processes, achieving a 30% reduction in resolution time and significantly improving support team productivity.