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Darshan Konnur

// software engineer — incoming SDE @ AWS — MS CS @ Northeastern

Incoming SDE @ AWS · Jan 2027 · Boston, MA

01 / ABOUT · about.md

A README, rendered.

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“I build software the way good code reads: clear, intentional, and built to last.”
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Darshan Konnur

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I'm a software engineer in Boston, finishing my MS in Computer Science at Northeastern and joining Amazon Web Services as a Software Development Engineer in January 2027.

Last summer at AWS I built a serverless system that captures visual evidence for cloud-security workflows — Java, Python, Lambda, and infrastructure as code, tested to 100% coverage against a live AWS environment. Before grad school I spent three years at Schneider Electric shipping applications used by 10,000+ employees and earning the SURGE Award.

My ticket-assignment system Ticket-Forge took 3rd place at the Google MLOps Project Expo; my research on medical-sample allocation is published with IEEE; and as a teaching assistant I mentored 300+ graduate students in software design. I like taking systems from prototype to production — and proving they work.

next: AWS · Jan 2027users_served: 10k+students_taught: 300+

02 / SKILLS · skills.json

The toolchain, as a running system.

  • PythonSchneider Electric · AWS internship · Ticket-Forge · TRIPLAY_AI · IEEE optimizer
  • JavaAWS internship · CS5010 TA · Calendar (Java)
  • GoCS6650 distributed systems — replicated key-value store, AWS load tests
  • JavaScript
  • TypeScriptTrackfolio
  • C
  • C++
  • SQL

frontend

backend

data

testing

infra

observability

03 / PROJECTS · projects/

Selected work. Every one of them runs.

ticket-forge — darshan@portfolio3rd Place — Google MLOps Project Expo

PROBLEM

Manual ticket triage wastes engineering time and ignores workload and experience signals.

BUILD

Recommendation engine ranking engineers via ticket context, engineer profiles, historical assignments, workload and recent-experience signals; pgvector similarity search, confidence scoring, explainability and cold-start handling; full MLOps loop (MLflow registry, DVC, Airflow, model CI/CD and monitoring) on GCP with Terraform, Docker and GitHub Actions.

RESULT

3rd place at Northeastern's MLOps Project Expo, presented at Google's Cambridge, MA office.

  • Python
  • FastAPI
  • PostgreSQL
  • pgvector
  • MLflow
  • Airflow
  • Terraform
  • Docker
  • GitHub Actions

04 / EXPERIENCE · experience.log

The record, as a commit graph.

  1. 0000000 next: SDE @ Amazon Web ServicesHEAD → future

    starts Jan 2027 · Software Development Engineer · Boston, MA

  2. 30bf203 feat(aws): build serverless evidence capture for cloud security

    Jun 2026 – Aug 2026 · Software Development Engineer Intern · Amazon Web Services · Boston, MA

    • Designed and built a serverless prototype that automatically captures visual evidence for cloud security workflows using Java, Python, AWS Lambda, S3 and browser automation.
    • Defined infrastructure as code with AWS CDK, IAM and Docker; hardened the service with input validation, timeout handling, fault-tolerant execution and observability.
    • Built comprehensive automated validation spanning a Java evidence collector with 100% test coverage, Python Lambda unit tests and an end-to-end integration suite validating success and failure paths against a live AWS environment.

    Returned with a full-time SDE offer.

  3. 3b9db2b feat(neu): graduate TA — CS5010 Programming Design Paradigm

    Sep 2025 – Dec 2025 · Graduate Teaching Assistant · Northeastern University, Khoury College

    • Mentored 300+ graduate students in labs and office hours on Java OOP, SOLID principles, UML, design patterns, debugging and unit testing with JUnit and JaCoCo.

    300+ students

    students

  4. 951f8d7 feat(neu): begin MS in Computer Science — Northeastern University, Bostonfeat/ms-cs

    Jan 2025 – Dec 2026 (expected) · MS, Computer Science · Northeastern University

  5. 9c75893 feat(schneider): ship digital workplace apps to 10k+ usersSURGE Award

    Feb 2021 – Nov 2023 · Digital Workplace Engineer · Schneider Electric · Bengaluru, India

    • Built enterprise workflow applications with Python/Flask, React, Node.js and MySQL used by 10,000+ employees; cut API response times by 30% through SQL query optimization and caching.
    • Automated Microsoft 365 administration and migration workflows with Python, PowerShell, Microsoft Graph API and Azure AD, reducing manual operational effort by 60%.
    • Containerized backend services with Docker and Kubernetes, built CI/CD pipelines in Jenkins and GitHub Actions, and added Prometheus/Grafana monitoring.
  6. cb35e94 tag: v1.0 — IEEE published[ read paper ↗ ]

    Allocation Optimization of Medical Samples For Distributed Testing

coursework.lock

Northeastern University — MS, Computer Science — Boston, MA

Jan 2025 – Dec 2026 (expected)

CS5010 · Programming Design Paradigm — Graduate Teaching Assistant · Sep 2025 – Dec 2025

M. S. Ramaiah Institute of Technology — BE, Computer Science — Bengaluru, India · Aug 2017 – Jul 2021

@inproceedings{konnur_ieee,
  title  = {Allocation Optimization of Medical Samples For Distributed Testing},
  author = {Darshan Ravindra Konnur},
  venue  = {IEEE},
  url    = {https://ieeexplore.ieee.org/document/9707992},
}

05 / CONTACT · contact.sh

Let's build something correct and beautiful.

Boston, MA · Incoming SDE @ AWS · Jan 2027 · replies fast

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