Bridging the gap between Deep Learning Research and Scalable Enterprise Systems
I am a Computer Science undergraduate and AI Researcher committed to building reliable, well-crafted systems. My work spans across LLM-powered applications, distributed backends, and advanced NLP research. I am passionate about creating tech that has real-world impact, grounded in ethical responsibility.
- 📄 CLEF 2025: Working Notes
- Focus: Fine-tuned Large Language Models for subjectivity classification using advanced NLP techniques.
- Impact: Contributed to the broader understanding of how LLMs process and categorize subjective data in complex datasets.
AI & Data Science:
Backend & Infrastructure:
Frontend & Databases:
- Enterprise AI: Building scalable, asynchronous backend pipelines (FastAPI/Celery) and RAG applications for high-concurrency environments.
- Deep Learning Research: Fine-tuning transformer models (GPT, T5, BART) for complex predictive tasks.
- Community Mentorship: Empowering the next generation of developers by teaching Python and foundational programming.
"Code, Coffee, and Curiosity ☕🧠 Always learning, building, and pushing boundaries."