About Me
Hey there! I'm Prasant, a Computer Science student who likes to work in large scale infra and systems engineering. Currently a Meta PE Fellow and former RA working with ML models, I'm also really interested in research in general.
I've recently built Lavender, an open source distributed Linux EDR system with a Rust eBPF kernel module and Go-based detection workers.
I LOVE doing hackathons and working with large scale infra, so hit me up on linkedin if you wanna team up for hackathons or any project really!!
Skills
Languages
Frameworks
Systems & Infra
Databases
AI/ML
Experience
Production Engineering (SRE) Fellow
Meta, Remote, San Francisco, CA
June 2026
- •Selected as one of ~50 Production Engineering Fellows (SRE) to work on Meta's systems infrastructure — contributing to reliability, observability, and automated deployment of production services.
AI/ML Research Assistant
Cyber Innovation Lab | USM, Hattiesburg, Mississippi
Sept. 2025 - Feb. 2026
- •Built and trained a ModernBERT-based co-attention neural network in PyTorch for social engineering email detection, achieving 100% accuracy on a held-out test set of 158 email pairs.
- •Engineered an email pair processing pipeline from a preprocessed dataset derived from 500,000+ corporate emails, generating 171 structured emails across 4 attacker profiles.
- •Trained a 151M+ parameter transformer with AdamW over 20 epochs, reducing validation loss from 0.57 to 0.0009 while maintaining perfect precision, recall, F1, and AUROC
- •Integrated the model with an upstream GNN-based anomaly detector, achieving 92% end-to-end system accuracy for social engineering detection
Software Engineering Intern
Optimal Answers, Gulfport, Mississippi
Jun. 2025 - Aug. 2025
- •Built backend features for internal and customer-facing web applications using C#, SQL, and REST APIs, supporting day-to-day workflows for business and operations teams.
- •Refactored performance-critical backend logic and SQL database queries, reducing UI latency and cutting employee task time by 30% across core application flows
- •Collaborated closely with design, QA, and data teams to deliver 5+ production features, participating in requirement discussions, testing, and rollout.
Projects
Lavender — Open Source EDR
Distributed Linux endpoint detection and response system with real-time threat visibility.
- •Built a distributed Linux threat detection system in Go with real-time dashboard, detection workers, and structured event logging for hardware and system diagnostics.
- •Wrote a Rust eBPF kernel module intercepting Linux syscalls and kernel tracepoints; structured event logs for anomaly detection and hardware diagnostics.
- •Implemented NATS-based event streaming as a single source of truth, ensuring ordered, lossless data flow across detection workers and dashboard.
Mang0S-x86 Operating System
Open Source x86 operating system built with 5 other devs
- •Implemented a custom x86 Operating System bootstrapped via the Limine bootloader, transitioning from bootloader state into protected kernel execution
- •Built a kernel-level framebuffer terminal with direct video memory access, text rendering, scrolling, and cursor control without libc.
- •Designed low-level memory and I/O abstractions to safely interface with hardware from kernel space.
No-Brainrot - Productivity Focused Browser Extension
Browser Extension that helps you stay focused by blocking short-form content and tracking your web time.
- •Short-form content blocking Chrome browser extension across multiple platforms with 289 installs & 20 daily users.
- •Built a browser extension that blocks certain sites and tracks time, using TS, Webpack, IndexedDB, and Chrome Extension APIs.
- •Eliminated a race condition in IndexedDB writes by serializing add/update operations with a queue and transaction guards, ensuring consistent time-tracking data.
- •Structured background, content, popup, and dashboard modules with shared types and utilities, improving code reuse and maintainability across extension surfaces.
- •Added time analytics for the dashboard to surface usage insights while keeping computation local for privacy.
Personal Status- App made using C++
C++ desktop widget for live portfolio status , sharing your thoughts & active apps in real-time.
- •Built real-time desktop monitoring system using C++ and Windows API that tracks development activity and pushes status updates to portfolio website via secure REST API
- •Developed cross-platform web integration with threaded architecture, local HTTP server, and Vercel API endpoint featuring API key authentication and JSON data exchange
- •Publically released the app, used by a few people!
Timeonar- AI powered Research Helper
A full-stack web app that converts Research Queries into interactive research timeline.
- •Built a full-stack web application that converts natural-language queries into interactive literature timelines using a backend LLM/AI API orchestration service.
- •Made a React + TypeScript frontend and a .NET C# REST API to deliver validated requests and structured, citation-backed responses, improving reliability of aggregated results.
- •Designed backend workflows implementing multi-stage pipelines with failure isolation, partial result propagation, and incremental response streaming, reducing perceived latency.
Chell- A Shell Made In C
An Unix like Shell Made using C programming language compatible with both Linux and Windows.
- •An Unix like Shell Made using C programming language compatible with both Linux and Windows.
- •Implemented core shell functionality including command parsing and execution
- •Cross-platform compatibility with memory management optimization
Education
Bachelor of Computer Science
University Of Southern Mississippi, Hattiesburg, Mississippi
August 2024 - Present