• CS Instructor - NUML
• Teacher's Assistant - The System
• Teacher Assistant - Beaconhouse School System

Experience (Projects & Practical Work):

CureAI - LLM-Powered Medical Diagnosis System (Final Year Project)
Tech: Python, FastAPI, GROQ, Pinecone, LangChain, Firebase, Zephyr, DPO
• Built backend for AI healthcare assistant with symptom analysis & personalized treatment generation
• Fine-tuned LLaMA 3.1 with Zephyr + DPO on 30K+ clinical dialogues
• Integrated RAG pipeline with LangChain, Pinecone, and Firebase

Yelp Dataset Analysis - Business Insights
Tech: Python, SQL, Pandas, Matplotlib
• Analyzed 8GB JSON dataset → structured into SQL DB for insights
• Built visualizations for customer sentiment & engagement
• Derived strategies for restaurant performance optimization

PagePilot - Book Recommender Web App
Tech: Python, Pandas, Flask, HTML/CSS
• Flask-based web application for collaborative filtering recommendations
• Processed large datasets to compute similarity scores
• Built responsive UI for cross-device usability

• Cybersecurity & GRC (Governance, Risk & Compliance, NIST, ISO 27001, Threat Modeling, AI Security)

• AI/ML & Data Science (LLM Fine-tuning, RAG, NLP, Recommendation Systems, Visualization)

• Programming & Tools (Python, SQL, Flask, FastAPI, HTML/CSS, Pandas, Pinecone, Google Colab, Git)

• Software Development (Full-stack projects, backend systems)

Education

Bachelor of Science in Computer Science - FAST (NUCES)

A'Level (Pre-Engineering) - Beaconhouse School System

O'Level (Pre-Engineering) - Beaconhouse School System
 

Experience

• CS Instructor - NUML
• Teacher's Assistant - The System
• Teacher Assistant - Beaconhouse School System

Experience (Projects & Practical Work):

CureAI - LLM-Powered Medical Diagnosis System (Final Year Project)
Tech: Python, FastAPI, GROQ, Pinecone, LangChain, Firebase, Zephyr, DPO
• Built backend for AI healthcare assistant with symptom analysis & personalized treatment generation
• Fine-tuned LLaMA 3.1 with Zephyr + DPO on 30K+ clinical dialogues
• Integrated RAG pipeline with LangChain, Pinecone, and Firebase

Yelp Dataset Analysis - Business Insights
Tech: Python, SQL, Pandas, Matplotlib
• Analyzed 8GB JSON dataset → structured into SQL DB for insights
• Built visualizations for customer sentiment & engagement
• Derived strategies for restaurant performance optimization

PagePilot - Book Recommender Web App
Tech: Python, Pandas, Flask, HTML/CSS
• Flask-based web application for collaborative filtering recommendations
• Processed large datasets to compute similarity scores
• Built responsive UI for cross-device usability

Publications

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Interests

• Cybersecurity & GRC (Governance, Risk & Compliance, NIST, ISO 27001, Threat Modeling, AI Security)

• AI/ML & Data Science (LLM Fine-tuning, RAG, NLP, Recommendation Systems, Visualization)

• Programming & Tools (Python, SQL, Flask, FastAPI, HTML/CSS, Pandas, Pinecone, Google Colab, Git)

• Software Development (Full-stack projects, backend systems)