Hey, I'm Akhil
A CS student @ Cornell and incoming SWE Intern @ Meta.
Interested in infrastructure, ML systems, and applied AI. I've built production RAG systems, including a campus-scale energy anomaly detection system and an enterprise platform at Penske for 20k+ employees.
At Cornell, I am a technical lead working on backend and infrastructure at Hack4Impact and previously contributed to sustainability-focused engineering projects.
Experience
Penske Truck Leasing
summer 2025built internal tools for fleet management
software engineering • internship
RapStudy
spring/summer 2025full-stack development and auth integration for an EdTech startup
full-stack • part-time internship
Hack4Impact Cornell
feb 2025 - currentbuilding an endowment manager for non-profits
full-stack • engineering project team
Engineers for a Sustainable World
2024 - 2025developed agentic RAG AI system for energy anomaly detection and reporting
applied ai, machine learning • engineering project team
Projects
Full-stack 3D reconstruction pipeline using SAM2 + Gaussian Splatting, achieving 35% faster object reconstruction with C++ optimizations deployed on AWS EC2
FlashAttention-style tiled attention kernels in Triton for RoPE, PoPE, and fused PoPE - achieved 15% lower latency vs Cartesian PoPE on NVIDIA T4 GPUs
Browser-use AI agents that scrape TikTok like humans to audit creator content for brand compliance - built at YC x Browser Use Hackathon
React Native app for real-time voice verification using Whisper + OpenSMILE embeddings - built full-stack MVP in 24hrs at UC Berkeley AI Hackathon
Award-winning professional networking app with matching algorithm, OAuth, and GCP backend - Cornell AppDev Hack Challenge