Presentation
At LifeFy, I am currently developing a production-grade AI health platform. I have built RAG pipelines using the OpenAI Assistant API and optimized GPT-4o with domain-specific prompt engineering to provide personalized care based on user health records.
At Careervira, I worked as a Data Scientist where I handled large-scale edtech data. I built a text classification workflow that improved query categorization accuracy from 74% to 94% using LDA topic modeling and ensemble learning.
Technical Projects: I developed "Smart Care AI," which uses an ensemble of Random Forest and XGBoost to predict cardiovascular risk, combined with a Gemini-powered RAG system for clinical queries. I also built a "WhatsApp Chat Analyzer" that uses VADER sentiment analysis to track emotional trends in conversations.
My Core Skills include Python, SQL, and deep expertise in NLP, LLMs, and vector databases. I also have a strong foundation in MLOps tools like Docker, Kubernetes, and Jenkins to ensure models are scalable and production-ready.I am passionate about taking complex data and turning it into simple, actionable insights that drive product value.
Background
â—¦ Developed cross-platform health apps for iOS, Android, and Web using FlutterFlow with integrated ML-driven features.
â—¦ Built a Supabase backend with Edge Functions to process multimodal data from PDFs and images using LLM APIs.
â—¦ Designed a retrieval-augmented system using OpenAI Assistant API to ground responses in user health records.
â—¦ Optimized GPT-4o behavior through domain-specific prompt design and evaluation to power a scalable health assistant
health-tech and edtech. Experienced in predictive modeling, LLM applications, and scalable ML deployment using Python
and modern AI APIs. Seeking a Data Scientist or NLP / GenAI Engineer role to build intelligent systems.


