Software Engineer | Full-Stack Developer | Applied AI Engineer | Cloud & DevOps Enthusiast
Python • Django • React • FastAPI • PyTorch • AWS • Docker • Kubernetes
I'm a Computer Science Master's student at the New York University with a passion for building full-stack applications and scalable, production-ready AI systems. I thrive on solving real-world problems at the intersection of distributed systems, MLOps, and product engineering.
- 🚀 I love building and deploying end-to-end AI/ML applications.
- ☁️ I'm passionate about cloud infrastructure and building efficient, scalable backends.
- 💬 Actively seeking Software Engineer (SDE) & Applied AI new grad roles for 2026.
I believe in learning by building. Here are a few projects I've built from the ground up.
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A full-stack AI content recommender for users in low-connectivity areas. I built the entire system, including a Django REST backend, React frontend, and a Redis/Celery task pipeline to run a cosine-similarity model and proactively cache content on AWS S3.
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Proved that high-accuracy AI can be highly efficient. I fine-tuned a RoBERTa model using LoRA (94.6% accuracy with 0.7% of parameters). I then architected a production-ready FastAPI inference stack, containerized it with Docker, and delivered sub-150ms predictions.
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A real-time screening platform that analyzes complex, multimodal data. The system combines insights from text (Logistic Regression), physiological signals (1D CNN for HRV), and facial emotions (CNN). I engineered the data-processing pipelines for low-latency inference.
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When I'm not coding, you can find me leading technical workshops or trying to find the best cup of coffee in NYC!
