GAGAN User
@gaganuser2
I'm building LLM-powered analytics applications and production machine learning pipelines.
What I'm looking for
At FlyRank AI, I'm building machine learning pipelines and AI-powered analytics applications using Python, SQL, Scikit-Learn, and FastAPI. I caught preprocessing and data-leakage issues before they reached production models.
I led a Content Opportunity Scoring capstone on FlyRank's search data warehouse, engineering features and a Random Forest ranking model that improved Precision@50 from 0.240 to 0.740. I also document RAG and LLM integration decisions and deliver weekly technical recommendations for cross-functional engineering stakeholders.
Through applied projects, I've built a conversational RAG and Text-to-SQL analytics agent, a customer analytics platform with 87% F1-score churn prediction, and ML classifier calibration experiments that reduced ECE by about 63%.
Experience
Work history, roles, and key accomplishments
Machine Learning Engineer Intern
FlyRank AI
Jun 2026 - Present (2 months)
Developed machine learning pipelines and AI-powered analytics applications using Python, SQL, Scikit-Learn, and FastAPI. Built data preprocessing and feature engineering workflows, identified and fixed data leakage bugs, and led a Content Opportunity Scoring capstone that improved Precision@50 from 0.240 to 0.740.
Education
Degrees, certifications, and relevant coursework
Akash Institute of Engineering and Technology
Bachelor of Engineering, Information Science and Engineering
Grade: 8.3/10
Pursuing a Bachelor of Engineering in Information Science and Engineering with a CGPA of 8.3/10.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Website
gagangowda.lovable.appJob categories
Skills
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