Suhas K M

Experience

• 

  The Sparks Foundation

  Aug 2021 - Sept 2021

  • Gained proficiency in data analytics methodologies, utilizing statistical tools and Python libraries such as regression analysis, seaborn, pandas, and Variance.• Executed machine learning models, applying both supervised and unsupervised algorithms to clean, pre-processed datasets, enhancing predictive modelling and clustering capabilities leading to well generalized models.

  • Data Analyst Intern

    Aug 2021 - Sept 2021

  • Student Intern

    Aug 2021 - Aug 2021
• 

  Visvesvaraya Technological University

  Jan 2022 - Jul 2022

  AI/ML Research Engineer

  • Secured access to the WaDaBa Trashnet dataset through strategic negotiations and detailed project proposals with a Polish university, facilitating enhanced deep learning model development and fostering international data exchange.• Engineered and deployed a robust AI-powered waste classification model on Raspberry Pi, achieving real-time, in-device sorting with improved accuracy and operational efficiency.• Authored Deep Learning Research Papers: Conducted extensive market research, literature reviews, and comparative analyses of models like AlexNet and MobileNet, resulting in a research paper poised for publication in a Springer journal and significantly advancing the field of AI in waste management.• Implemented rigorous validation protocols to ensure the robustness and generalizability of AI models, including cross-validation and performance benchmarking against industry standards. Show less

• 

  Runway

  Sept 2022 - Aug 2023

  Software Engineer

  • Agile Project Management: Streamlined project tracking with Jira, ensuring timely ticket resolution and consistent on-time project delivery.• AWS Serverless Architecture: Reduced API costs by 30% by designing Python-based AWS Lambda microservices integrated with API Gateway, SNS, and CI/CD pipelines.• API Development & Integration: Boosted operational efficiency by developing and maintaining 30+ scalable APIs that automated email campaigns via Mailchimp and AWS SES.• Database Integrity & Performance: Enhanced data security by enforcing ACID compliance and optimizing SQL transactions and queries, cutting latency by 15%.• Data Migration & ETL: Accelerated Salesforce CRM data migration by 35% through engineering a fail-safe ETL pipeline, ensuring seamless data synchronization.• Code Quality & Collaboration: Improved Spring MVC pipeline efficiency by managing pull requests and executing rigorous code reviews, increasing code reliability by 25% and reducing senior developer workload by 20%.• Business Intelligence: Drove a 30% boost in operational efficiency by developing a dynamic Tableau dashboard that integrated optimized ETL processes and KPIs.• Spring Boot/MVC API Development: Strengthened microservices architecture by building 20+ Spring Boot/MVC and cloud serverless APIs, enhancing system scalability and integration. Show less

• 

  SAFECAST

  Jul 2024 - Oct 2024

  Cloud Engineer Intern

  • Volunteered to design and document AWS architecture, leading to a 20% boost in open-source contributions• Monitored and upgraded PostgreSQL, ensuring RDS versions stayed compliant with AWS support timelines• Optimized AWS costs by analyzing resource utilization, achieving a 15\% reduction in monthly cloud expenses

• 

  Northeastern University

  Jan 2025 - now

  Novel Transfomer based research on Adaptive Inter Layer Attention. Multi-modal Research • Mentored students practise MLOps, from data preprocessing to scalable deployments on cloud• Designed assignments to encourage critical thinking on data and math, enhancing real-world problem-solving skills• Crafted Docker templates, helping streamline MLOps practices and reducing deployment errors by 25%• Guided students on hyperparameter tuning, overfitting prevention, and evaluation metrics

  • Research Assistant

    Feb 2025 - now

  • Graduate Teaching Assistant - Data Science

    Jan 2025 - now