🎓 MS in Intelligent Systems Engineering @ Indiana University Bloomington (2025–2027)
💻 Software Engineer (Backend + Applied AI/NLP) • Python, Flask, JavaScript
🔎 Seeking Summer 2026 internships (SDE / AI-ML Engineering)

🧩 Practice & Profiles: LinkedIn · LeetCode · HackerRank

I’m a graduate student focused on building scalable software systems and applied AI solutions. Before starting my MS, I worked at a telecommunications startup where I contributed to backend services across payments, messaging/notifications, and AI-assisted call workflows and modernizing legacy systems and integrating LLMs and speech-to-text components.

Natural Language Processing Lab (Volunteer Research Project)

• 🧠 Annotating and analyzing Twitter data to support training and evaluation of drug-related NLP classifiers
• 🧩 Curating and normalizing drug terminology and slang to expand a NIDA-based knowledge graph for NLP pipelines

• ⚙️ Backend development with Python + Flask (internal APIs), JavaScript, and Linux-based services
• 🔄 Modernized legacy systems to improve reliability and performance in communication and payments workflows
• 🤖 Contributed to AI features using GPT for summarization and Whisper for multilingual speech-to-text
• 📊 Worked with operational workflows and automation, including Apache Airflow in backend services

• 🧠 Deep Learning Systems: training pipelines, GPU acceleration, deployment considerations
• 🗣️ Advanced NLP: statistical + neural NLP, transformers, information extraction, knowledge representations
• 🧩 Intelligent Systems: systems engineering principles for modern intelligent systems

• 🤖 NLP / AI Projects: call & voicemail summarization, depression detection, spam detection
• ⚙️ Backend Projects: Flask/Django apps, API services, database-backed systems
• 📘 Coursework Projects: Advanced NLP & Deep Learning Systems (clean, documented repos)

I’m looking for internships where I can combine strong software engineering fundamentals with hands-on AI/NLP work, especially roles involving backend systems, ML pipelines, LLM applications, or developer-facing tools.