On Lounge since Oct 2026
Tejas Attarde
Member #528DeveloperL2DevOps, New York University
Software Engineer, DevOps, Machine Learning
Achievements
Plugged In ×3Connected sources: GitHub, Hugging Face, LinkedIn, X, website.How: Connected 3 sources (GitHub, LinkedIn, X or a website) in Settings
Plugged In×3Featured
ShipperProjects on your profile.How: Added 1 project to their profile
Shipper
Founding MemberOne of the first 500 members.How: Joined Lounge in the founding cohort
Founding Member
Pinned projects
Multi-tenant ML feature store with hardware-isolated inference via AWS Nitro Enclaves and attestation-gated KMS key release
awsdistributed-systemsfastapimachine-learningnitro-enclaves
LLM-aided Hardware Design and Verification
This repository contains submission for the LLMPirate student assignment, evaluating LLM-based hardware IP rewriting. It explores multiple prompting strategies on a benchmark circuit and analyzes results based on syntax correctness, functional equivalence, and SIM-based piracy detection.
adversarial-mlllmprompt-engineeringpythonsecurity
Stack
HermesMistralClaudeGeminiChatGPTCursorLangGraphVercelClaude CodeEmergentCodexGitHub CopilotMuseElevenLabsSupabaseReplit
About
Tejas Attarde is a software engineer in New York who works on DevOps and machine learning, and is completing a master's degree in computer engineering at New York University. He is a multi-cloud certified solution architect with a focus on Kubernetes. His projects include a multi-tenant ML feature store that uses AWS Nitro Enclaves, and an AI-assisted Kubernetes platform that runs on Google Cloud and Azure. He also works on LLM-aided hardware design.
