About

About

Hello, I’m Huzaifa Naseer

I’m a Software Engineer at Oracle, where I work on building high-performance and reliable distributed systems. I graduated with a B.Tech in Computer Science from NIT Srinagar, and since then I’ve been focused on solving complex problems in systems engineering, optimization, and large-scale infrastructure.

Beyond my work in computer science, I’m deeply passionate about quantitative finance, financial markets, and trading systems. My current journey is to bridge my expertise in C++/Rust performance engineering, distributed systems, and AI/ML with advanced knowledge in quantitative research and algorithmic trading.

I aim to position myself at the intersection of finance and technology, developing the skills to design scalable, low-latency systems for trading and risk management.

Professional Experience

Oracle – Associate Software Developer (July 2025 – Present)

  • Contributing to the development and maintenance of microservices using Helidon, focusing on performance and stability.

Oracle – Project Intern (Jan 2025 – July 2025)

  • Refactored legacy code for Starlink data streams and IoT device telemetry.
  • Built CI/CD pipelines for automated data exports and service deployments.
  • Worked on tenant-specific metrics with Prometheus and Grafana.
  • Managed Kubernetes clusters and resolved system reliability issues.

MakerStudio – Rust Developer (Mar 2024 – Aug 2024)

  • Built Rust backends for AI systems, REST and GraphQL APIs with Actix & Rocket.
  • Implemented concurrency with Tokio, optimized OAuth & databases (15% faster).

Indian Institute of Technology, Delhi – Research Intern (Dec 2023 – Feb 2024)

  • Worked on convolutional neural networks (VGGNet, DenseNet, ResNet).
  • Applied pruning & quantization techniques for model compression.
  • Implemented knowledge distillation (teacher-student, attention-based).

Rizin.re – Software Developer (May 2023 – Mar 2024)

  • Optimized framework disassembly speed and efficiency.
  • Transitioned architecture from list-based to vector-based for scalability.

Wise App Live – Full Stack Intern (Sep 2022 – Nov 2022)

  • Developed & enhanced Wise App’s UI for user engagement.
  • Built key pages for user registration & product search.
  • Optimized backend queries for performance.

Education

  • National Institute of Technology, Srinagar
    Bachelor of Technology in Computer Science
    8th Semester, CGPA: 8.12

My Tech Stack

Generally, I like to call myself a God Stack Developer because I mostly use C, C++, Rust, Typescript in my projects and if you can read in between the lines, yes, I’m obsessed with type-based languages. Moreover, you can say I prefer to be humble and low level when it comes to speaking to computers. You can go through my work in recent years here.

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For the sake of it, Here is the stuff I've worked with
Languages: C, C++, Typescript, Rust, Python
Backend: Express, FastAPI
Databases: MongoDB, Postgresql, Supabase, Firebase
Frontend: Vanilla JS, React, Tailwind.css
Frameworks: Nextjs, Nuxt
Quant & Finance Tools: NumPy, Pandas, scikit-learn, QuantLib, PyTorch