I build AI and data systems that work in the real world, not just in notebooks. I have worked across the full lifecycle of data and AI, from building pipelines and running analytics to shipping LLM-powered applications in production. I have built things solo and worked with cross-functional teams, and I always bring product thinking into my engineering work because understanding the why matters as much as the how.
🔎 Actively looking for full-time roles in AI Engineering, Data Engineering, Data Analytics, or MLOps
🛠️ Building production AI systems including a multilingual voice AI platform with speech recognition, OCR, retrieval, and text-to-speech
📣 Sharing what I learn publicly around LLMs, voice AI, and building AI-native products
I have spent my career building AI and data systems that work in production and hold up over time. I have automated workflows that saved thousands of hours, shipped agentic platforms serving hundreds of professionals, built pipelines processing millions of records, and made sure the stakeholders depending on these systems always had what they needed to make decisions.
🔹 Designing and shipping AI systems end to end in production
🔹 Building scalable data pipelines and analytics that drive real decisions
🔹 GenAI and LLM engineering with hands-on experience in RAG, agents, and evaluation
🔹 MLOps and AI DevOps with a focus on deployment, monitoring, and reliability
🔹 Product thinking baked into every technical decision
🔹 Experience working both independently and across product and engineering teams
MS in Data Analytics Engineering · Northeastern University GPA 3.8 / 4.0 · Sep 2023 – Jul 2025