🚀 MS in Computer Engineering @ New York University (Expected May 2026)
⚙️ Distributed Systems | 🧪 MLOps | 🌐 Backend Infrastructure
💼 Actively seeking 2026 New Grad Full-Time roles in Software/Backend Engineering & AI Infrastructure
I'm a backend-focused Software Engineer who specializes in building scalable infrastructure, orchestrating generative AI workloads, and automating complex data pipelines. I love bridging the gap between heavy AI models and reliable, user-facing production systems.
- 🔭 Previously: Backend Developer Intern @ Oddly Optic & Tiny Archives
- 🌱 Currently: Deploying inference containers on Kubernetes and building serverless API gateways.
- 💬 Ask me about: FastAPI, Docker/Kubernetes, MLflow, GenAI Orchestration, and React/Next.js.
- Languages: Python, TypeScript, JavaScript, C++, SQL
- Backend & APIs: Node.js, Express.js, Django, FastAPI
- Frontend: React, Next.js, Redux, Tailwind CSS
- Cloud & DevOps: Docker, Kubernetes, GitHub Actions, Terraform, AWS, GCP (Cloud Run), Vercel
- Databases: PostgreSQL, MySQL, MongoDB, Firebase
- AI / MLOps: PyTorch, TensorFlow, MLflow, OpenCV, OpenAI/Gemini/Claude APIs
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🩺 MedAI - Scalable Chest X-Ray Diagnosis Engineered a production-grade inference pipeline by deploying Dockerized FastAPI containers on a Kubernetes cluster. Utilized MLflow for experiment tracking and GitHub Actions for GitOps-style CI/CD.
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📊 AEON Predictive Wellness Engine Co-led a multi-source data pipeline ingesting and parsing Garmin biometrics, router logs, and weather APIs into a unified time-series database with over 40,000 minute-level records.
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🎨 Rarity.AI - Generative NFT Platform Full-stack Web3 application refining user prompts with Groq LLMs and generating images via the Gemini API. Integrated Ethers.js and MetaMask for smart contract transactions.
