I build production-grade AI systems and analytical pipelines independently. I'm at the intersection of data analysis, machine learning, and backend engineering.
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fitness-coach
June 4, 2026 – Present
AI-powered fitness & diet chatbot for Indian users — personalized meal plans, workout routines, BMI/TDEE tracking, and streaming chat. Built with Groq (Llama 3.3 70B) + Streamlit. Deployed live on Streamlit Cloud.
View Projectdreamvista
March 19, 2025 – Present
Designed and built a scalable Django backend with structured data storage to support longitudinal data analysis — demonstrating understanding of enterprise data modelling principles. Implemented modular NLP pipeline integrating transformer models and REST APIs; system architecture parallels ABAP module design in SAP environments.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and demonstrate an interest in various web development and data-related tasks. The 'fitness-coach' project shows initiative in exploring modern AI tools. However, the overall project diversity is somewhat limited to personal GitHub repositories, and there's no explicit team collaboration or professional experience mentioned. The alignment with a senior Data Scientist role is moderate, as most projects are foundational or exploratory rather than demonstrating deep, production-level data science expertise.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are brief, and no psychometric or English test results are available.