CV

Education

• Ph.D in Computer Science, University of Oklahoma, 2019
• M.S. in Computer Science, University of Oklahoma, 2017
• B.S. in Computer Science, University of Oklahoma, 2015

Work experience

• 2020-Present: Senior Software Engineer
  • CoreLogic/cotality, Oklahoma City, Remote
    • Led multiple teams across both modern and legacy technology stacks.
    • Delivered multiple enterprise-scale platforms—including payments, appraisals, and analytics—from user-centered design to production, resulting in multi-million-dollar annual revenue.
    • Coordinated, trained, and mentored full-time employees and contractors through paired programming, paired code reviews, book clubs, and hackathons.
    • Increased MTBF by over 20% by achieving near-perfect scores (95% or above) for non-functional requirements such as vulnerabilities, code test coverage, and code smells.
    • Reduced MTTR by over 100% by improving application logging and metrics, setting up alerting rules and dashboards, and enhancing documentation for on-call engineers.
    • Optimized numerous services and processes, resulting in better response times and lower cost—improvements of over 200% in some cases.
• 2012-2020: Senior Software Engineer
  • University of Oklahoma (OU), Norman
    • Managed multiple contracts, teams, and projects throughout the university, including the Oklahoma Department of Transportation, the OU Data Science Initiative, and the OU Supercomputing Center for Education and Research.
    • Developed and maintained a large-scale, distributed system for processing and analyzing time-evolving graphs.
    • Collaborated with researchers and faculty to implement algorithms and techniques for graph compression and analysis.
    • Published multiple papers in peer-reviewed conferences and journals, contributing to the field of computer science.
    • Mentored undergraduate and graduate students in research projects, fostering their development in computer science.

Proficient Skills

• Programming languages: Python, Java, C#, JavaScript, TypeScript
• Frameworks and libraries: FastAPI, Django, React, LangChain, TensorFlow, PyTorch
• Cloud platforms: GCP, AWS, Kubernetes, Docker
• Databases: PostgreSQL (incl. AlloyDB), FAISS, Pinecone
• Infrastructure and DevOps: Terraform, ArgoCD, CI/CD pipelines, Prometheus, Grafana, Helm
• AI and machine learning: Transformer models, LLM-assisted development, API/SDK integration, data analysis
• Performance optimization: Profiling, benchmarking, load testing
• Security: OAuth, OIDC, JWT
• Collaboration: Team leadership, mentoring, pair programming, test-driven development (TDD)

Publications

Queryable Compression on Time-evolving Web and Social Networks with Streaming

Nelson, Michael, Radhakrishnan, Sridhar, Sekharan, Chandra, Chatterjee, Amlan, Krishna, Sudhindra Gopal. (2021). "Queryable Compression on Time-evolving Web and Social Networks with Streaming." ACM Transactions on the Web (ACM Trans. Web). 16(2).

On Compressing Time-Evolving Networks

Krishna, S Gopal, Nelson, Michael, Radhakrishnan, Sridhar, Chatterjee, Amlan, Sekharan, Chandra. (2021). "On Compressing Time-Evolving Networks." ALLDATA 2021, The Seventh International Conference on Big Data, Small Data, Linked Data and Open Data. 43-48.

Billion-Scale Matrix Compression and Multiplication with Implications in Data Mining

Nelson, Michael, Radhakrishnan, Sridhar, Sekharan, Chandra N. (2019). "Billion-Scale Matrix Compression and Multiplication with Implications in Data Mining." 2018 IEEE International Conference on Information Reuse and Integration (IRI).

Algorithms on Compressed Time-Evolving Graphs

Nelson, Michael, Radhakrishnan, Sridhar, Sekharan, Chandra N. (2019). "Algorithms on Compressed Time-Evolving Graphs." 2019 IEEE International Conference on Big Data (Big Data).

Queryable Compression on Time-Evolving Social Networks with Streaming

Nelson, Michael, Radhakrishnan, Sridhar, Sekharan, Chandra N. (2018). "Queryable Compression on Time-Evolving Social Networks with Streaming." 2018 IEEE International Conference on Big Data (Big Data). 146-151.

Queryable compression on streaming social networks

Nelson, Michael, Radhakrishnan, Sridhar, Chatterjee, Amlan, Sekharan, Chandra N. (2017). "Queryable compression on streaming social networks." 2017 IEEE International Conference on Big Data (Big Data). 988-993.

Exploiting topological structures for graph compression based on quadtrees

Chatterjee, A., Levan, M., Lanham, C., Zerrudo, M., Nelson, M., Radhakrishnan, S. (2016). "Exploiting topological structures for graph compression based on quadtrees." 2016 Second International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN). 192-197.

On compressing massive streaming graphs with Quadtrees

Nelson, Michael, Radhakrishnan, Sridhar, Chatterjee, Amlan, Sekharan, Chandra N. (2015). "On compressing massive streaming graphs with Quadtrees." 2015 IEEE International Conference on Big Data (Big Data). 2409-2417.