# Dhruv Mishra — Resume

Source: https://whoisdhruv.com/resume
Resume PDF: https://whoisdhruv.com/resources/resume.pdf

Software Engineer at Microsoft (June 2024 to present, Noida, India). Highlights from the current role:

- Enabled PDF encryption for Office documents across Word, Excel, and PowerPoint by sandboxing the end-to-end execution of an existing C++ encryption SDK. Replaced direct network access with a secure C# proxy + IPC architecture for Azure Rights Management Service communication, reducing attack surface.
- Cut infrastructure costs by $240,000 annually for a shell platform backend service handling 7B+ hits per day by optimizing VM Scale Sets, log retention and replication, and Redis/Cosmos configurations.
- Designed autonomous workflows for Microsoft Shell Platform (Identity Management Service) using LLMs, MCP servers, and REST APIs to automate internal platform tasks and accelerate incident mitigation and bug resolution.
- Re-architected Excel's Compose shimmer loading path with warmup sequences, baseline profiles, and optimized XML/Compose interactions, reducing load time by 99% (300ms to 3ms) and improving perceived latency for millions of users.
- Achieved 100% security compliance as the Sole Security (S360) Compliance Owner for Office Android Shared.
- Primary owner for Fluent UI Android, driving 10 major releases used by 10+ partner teams including Copilot, Office, Outlook, OneDrive, and Teams. Migrated and owned publishing pipelines for Fluent UI System Icons.
- Won the Microsoft E+D FHL Award (Fundamental Category) for "WXP ActionEase".

Competitive programming achievements: Codeforces Expert with peak rating 1703 (handle DhruvMishra), CodeChef 5-star with peak rating 2003. Global Rank 291 in the Google Code Jam Farewell Round 2023 Round A, Rank 353 in Google Kick Start 2022 Round H, and Rank 167 in the Reply Code Challenge. Microsoft E+D FHL Award (Fundamental Category) for "WXP ActionEase".

B.Tech in Computer Science and Applied Mathematics from Indraprastha Institute of Information Technology (IIIT-Delhi), December 2020 to June 2024. Graduated with Academic Honors, CGPA 8.96 / 10.0. Undergraduate Researcher at DCLL under Prof. Bapi Chatterjee, achieving 300% throughput boost in Counting Bloom Filters with minimal impact on false positive/negative rates using relaxation and concurrency. Developed a Course Recommendation System as an engineering project under Prof. Dhruv Kumar.

Languages: TypeScript, C++, C#, Kotlin, Python, SQL, Java, JavaScript.

Frameworks and tools: Android (Jetpack Compose, XML, Gradle, Maven), React, Next.js, Tailwind CSS, OpenCV, Scikit-Learn, DevOps, Git, NPM, Azure, GCP, Nginx, Cloudflare, MCP, LLM Tooling, RAG, Embeddings, Cryptography.

Core concepts: System Design, Distributed Systems, CI/CD, Cloud Infrastructure, REST APIs, Databases, Machine Learning.

Machine Learning Engineer at growIndigo (February 2024 to June 2024, Delhi, India). Replaced a manual Google Earth Engine classification workflow with a Python-based XGBoost and Random Forest pipeline, improving crop classification accuracy from 80% to 93% while significantly reducing workflow time.

Software Engineering Intern at Microsoft (May 2023 to July 2023, Noida, India). Architected a connection management service for Microsoft Loop that synchronized connection states across multiple third-party integrations (Jira, Trello, GitHub) — that service now serves as the generic backend for all third-party integrations. Integrated GitHub and Azure DevOps REST APIs into the Microsoft Power Platform Connector, enabling automated workflows. The GitHub connectors I built there are now used across major Microsoft applications.

Open-source contribution: Contributor to the Rhinestone SDK (ERC-7579 based moduleSDK) for Account Abstraction, enabling modular smart accounts. Tech stack: Account Abstraction, ERC-7579, Viem, Solidity, TypeScript.