Suhas K. Email & Phone Number

Maryland, United States

As an AI Software Engineer at Dynanet, I leverage expertise in artificial intelligence (AI), machine learning (ML), and software engineering to support cutting-edge projects. My work primarily focuses on expediting research objectives in the field of Medical AI for various research institutions.Key Responsibilities:- Medical AI Research Support: Collaborate with research institutions to develop and refine AI models that accelerate medical research.- Open-Source Project Contribution: Contribute to large open-source projects like DSA and HuBMAP by integrating them with the HiperGator Supercomputing infrastructure, including adding support for high-performance computing (HPC) and large-scale system deployment.- AI Model Optimization: Optimize AI models for efficiency on NVIDIA A100 and H100 GPUs, reducing resource consumption while increasing scalability for more concurrent jobs.-High-Performance Computing: Utilize HPC techniques to ensure robust performance and efficient resource use in large-scale AI system deployment.- Scalability Focus: Design AI solutions for scalability, enhancing their ability to handle high-demand conditions effectively.Core Competencies:- AI and ML Algorithms- Software Engineering Best Practices- High-Performance Computing (HPC)- Supercomputing Infrastructure (HiperGator)- GPU Optimization (NVIDIA A100, H100)- Large-Scale System Deployment- Open-Source Contributions

Gainesville, Florida, United States

In my role at UF's CMI Lab, I combine software engineering with innovative AIML research in the medical field, which can be translated to any domain, focusing on app development, AI/ML optimizations for better CPU, GPU and MEM utilization and high-performance computing. Key highlights include:Architecture Transition: Re-engineered Docker-based architecture of the DSA application to a Singularity-based HPCC architecture, supporting concurrent workloads and achieving a 100% performance gain through horizontal scaling.AIML model optimization: Developed plugins for users to run AI/ML models, enhancing model efficiency by optimizing GPU, CPU, and memory utilization through parallel and distributed computing via dask, nvidia rapids and cudf-cu11.Dataset Visualization Tool: Contributed to the development of FUSION, a dataset visualization tool for analyzing massive data results generated by AI/ML algorithms.App Performance Optimization: Developed efficient mechanisms to handle high-volume rasterized pyramidal image requests using AWS Lambda functions.Collaborative Expertise: Excel in cross-functional teams, enhancing project communication and aligning technical objectives with research goals and long-term lab goals.I blend technical acumen with problem-solving and adaptability, thriving in dynamic environments and contributing to groundbreaking medical research.Technical Skills: Demonstrated expertise in Python, JavaScript, HPCC, containerization, OS, sockets, networking, SDLC, software testing, open-source contribution and project management though DSA and FUSION projects

Grand Rapids, Michigan, United States

During my summer internship at Steelcase Inc., I contributed to the IT department by focusing on cloud solutions, automation, and data analysis. Key contributions include:Cloud Cost Optimization: Analyzed Azure cloud cost data using Python libraries like Numpy and Pandas, leading to the identification and decommissioning of non-functional servers, resulting in monthly savings of $20,000.Automation and Security: Enhanced operational efficiency by automating platform-related tasks using Azure Functions. Implemented and refined security policies, contributing to a more robust IT infrastructure.Data-Driven Decision Making: Conducted a usability study for PowerBI dashboard prototypes, gathering actionable feedback to optimize report visibility and relevance, aiding in more effective decision-making processes across IT teams.This role enabled me to apply my technical knowledge in a real-world setting, honing my skills in cloud computing, data analysis, and automation, while also strengthening my ability to work collaboratively in a professional environment.

Bengaluru, Karnataka, India

At Polaris Wireless, I embraced the role of a Full Stack Software Engineer, where I contributed significantly to software development and optimization. My tenure was marked by the following key achievements:Codebase Optimization: Worked on the transition of a substantial portion of the codebase from class-based to function-based React, coupled with Redux. This strategic move resulted in a 30% reduction in codebase size and a 40% increase in system performance, enhancing both functionality and security.Collaborative Development: Actively participated in sprint planning and UX review meetings, offering critical insights that improved user requirement anticipation and application usability. I collaborated closely with backend and testing teams to efficiently address and resolve user-facing issues, ensuring a seamless user experience.Agile Methodology: My role involved consistent engagement with Agile practices, contributing to the team's ability to swiftly adapt to changing requirements and maintain a high standard of software delivery.My experience at Polaris Wireless was instrumental in sharpening my Software Engineering skills and deepening my understanding of the Agile framework, positioning me to effectively contribute to future technology solutions.

Bangalore Urban, Karnataka, India

In my role as a Data Engineer at Amazon, I combined technical expertise with innovative data solutions to support the company's competitive market analysis. My key contributions included:Data Collection and Analysis: Developed Python scripts and Java snippets to automate the collection of data from competitor websites across various marketplaces. This initiative played a crucial role in strengthening Amazon's market analysis and competitive positioning.Database Management: Skillfully managed and processed large datasets, utilizing SQL and Bash scripting for efficient database operations. My efforts significantly contributed to the streamlined handling of complex data structures.AWS Services Integration: Leveraged a range of AWS services, including S3, Lambda, RDS, and EC2, to optimize data storage and processing tasks. My work with these services showcased my ability to harness cloud technologies for enhanced operational efficiency.This experience at Amazon was pivotal in advancing my skills in data engineering, cloud computing, and large-scale data management, laying a strong foundation for my future endeavors in the technology sector.

Master Of Science - Ms, Computer Science

Bachelor Of Technology - Btech, Computer Science