I'm a Computer Science student with a soft spot for AI that connects with people.
I build intelligent systems that don't just compute.

Right now, I’m blending code, cognition, and curiosity to bring projects to life at the intersection of:

• human-centered AI
• emotion understanding
• personalized experiences
• health tech innovation

Let’s make technology feel a little more... human.

Always open to collaborations, especially on AI projects with a human twist.

• 1st Place – PoliHack v17, AppDev Division
  Gene Explorer – Drug repurposing platform powered by BioGPT and interactive 3D graphs

• 2nd Place – Cybersecurity Hackathon
  Trust Issues – A gamified phishing-awareness game inspired by Papers, Please

• Gene Explorer
  A platform for drug repurposing, integrating BioGPT with interactive 3D gene–drug graphs.
  Built for researchers and healthcare professionals to explore new therapeutic potentials.

• Trust Issues
  A narrative-driven game where players act as digital investigators analyzing profiles, messages, and patterns to detect phishing.
  Designed to raise awareness of social engineering threats through gamification.

• Hand Gestures Recognition
  Real-time hand gesture detection using computer vision and a custom CNN built from scratch.
  Designed for intuitive interaction and as an accessibility-friendly input method.

• Speed Catch
  A lightweight similarity search engine built from scratch using vector embeddings and FAISS.
  Designed to be transparent and fully explainable, with a focus on clarity over complexity.

• SoulSpice
  A personalized conversational assistant that combines a fine-tuned LLM with Retrieval-Augmented Generation (RAG). Delivers context-aware, preference-based responses using curated psychological and gastronomic datasets, with FAISS-powered retrieval.

• NeuroMote A multimodal AI system that combines audio and video input to detect emotional states.
  Focused on emotion analysis through voice tone and facial expression fusion.

From research to prototyping and deployment, these are the tools I rely on to bring intelligent systems to life:

Comfortable working across supervised learning, NLP, computer vision, and multimodal architectures.

I often pair my AI work with full-stack tools for interaction, APIs, and experimentation:

Also experienced with OOP design patterns, REST APIs, and component-based architectures.

• Transformer architectures, prompt tuning, and LLM fine-tuning
• NLP techniques like named entity recognition, sentiment & intent classification
• Multimodal learning: combining speech, face, and emotion detection