Sanath N U bio photo

Two roads diverged in woods, I took the one less traveled by.

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Experience

Research Experience

Graduate Assistant | Northeastern University — Khoury College (Advisor: Prof. Zhengzhong Jin)
Feb 2026 – Present
  • Studying lattice-based cryptographic proof systems in the Cryptography and Privacy Group at Khoury College.
  • Investigating verifiable computation for LoRA (Low-Rank Adaptation) inference, focusing on zero-knowledge proof constructions.
Research Participant | Wolfram Winter School 2026 (Mentor: Nik Murzin)
Jan 2026
  • Completed an original research project, “From Repetition to Topology: The Geometry of Error Correction,” tracing the geometric foundations of error correction from classical Hamming distance through quantum stabilizer codes to Kitaev's toric code.
  • Built interactive Wolfram Language notebooks implementing 3-qubit bit-flip/phase-flip codes, stabilizer syndrome extraction, and toric code lattice visualizations with anyon-pair error detection.
  • Selected for Wolfram Community Staff Picks and awarded the Featured Contributor Badge.
Research & Development Intern | CARES Group, IIT Dharwad
Oct 2022 – May 2023
  • Worked on microarchitectural optimization using instruction criticality models.
  • Extended the TEJAS simulator with a two-level cache design prioritizing critical instructions.
  • Evaluated ROB sizing and TLB trade-offs, achieving a 33% improvement via pipeline efficiency.
  • Explored performance–complexity trade-offs in speculative execution.
Project Intern | Nokia Bangalore University Relations
Jul 2022 – Dec 2022
  • Built an OCR + sentiment analysis pipeline for large confidential documents.
  • Used Tesseract with ABSA-PyTorch, outperforming EasyOCR by ~33% accuracy.
  • Dockerized the pipeline for scalable internal deployment.

Software Engineering

Software Development Engineer Intern | Amazon Web Services (AWS) · Palo Alto, CA
May 2026 – Present
  • Building automated testing infrastructure for managed database services.
  • Designing agent-driven workflows for test generation and validation across distributed systems.
Cloud Engineer | Hewlett Packard Enterprise (HPE)
Aug 2023 – Aug 2025
  • Automated Red Hat OpenShift cluster deployments using Python and REST APIs, reducing setup time by 30%.
  • Built and prototyped Private Cloud AI Essentials (PCAI) stacks on developer systems.
  • Integrated MinIO S3 and Kubernetes storage operators for AI workloads.
  • Implemented Keycloak- and OAuth2-based authentication pipelines.
  • Migrated legacy LDAP systems to GreenLake IAM and Okta.
  • Integrated Istio and SPIRE for zero-trust, workload-level authentication.
  • Contributed to LLM Tool Mesh initiatives using LangChain and multi-agent systems.
Cloud Development Intern | Hewlett Packard Enterprise (HPE)
Jan 2023 – Jul 2023
  • Enabled OpenShift support for Unified Analytics.
  • Optimized Prometheus integrations for performance and observability.
  • Built secure access control pipelines using OAuth2-proxy.
Software Engineering Intern | Bosch Global Software Technologies
Jun 2022 – Jul 2022
  • Developed diagnostic test scripts for automotive ECUs.
  • Worked with UDS, CAN protocol, CANalyzer, CANoe.
  • Explored CAPL for advanced testing workflows.