Computer Science Engineer specializing in AI/ML, scalable software development, data analytics pipelines, and DevOps automation. I focus on transforming complex datasets into predictive models and architecting secure full-stack solutions.
- 🤖 AI/ML & Data Engineering: RAG systems, genomic data pipelines, ADMET molecular prediction, and predictive classification models.
- 💻 Full-Stack Development: Architecting robust web applications and high-performance secure APIs using MERN & FastAPI.
- ☁️ DevOps & Cloud: Automating deployment workflows, CI/CD pipelines, and cloud infrastructure exploration.
- 🛡️ Cybersecurity: Real-time network threat detection, anomaly classification, and security monitoring.
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An ADMET-AI prediction platform evaluating molecular properties via a robust Python API (built with Chemprop & RDKit integration).
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A production-ready, object-oriented Q&A system for private documents utilizing LangChain, vector embeddings, and FastAPI backend.
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Full-stack MERN communication platform featuring real-time messaging, automated deployment workflows, and role-based access control.
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A hybrid ML anomaly detection system (Isolation Forest + XGBoost) for real-time monitoring and flagging suspicious network behavior.
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- 💼 Data Analyst Intern @ Princeton Smart Engineers — Engineered mRNA expression data pipelines for biological datasets.
- 🥇 3x Hackathon Champion — Prototyped innovative AI/ML & full-stack applications under strict hackathon time constraints.
- 📜 Certifications:
- ☁️ AWS Certified Cloud Practitioner
- 📊 Data Analyst (Python) Certified
- 🔒 Cybersecurity Specialist Certification