AI/ML Engineer with strong hands-on experience in building production-ready machine learning models and interactive dashboards.
Key Projects:
• Credit Card Fraud Detection – Built XGBoost model with 0.92 recall + SHAP explainability. Fully deployed with Docker and Streamlit.
• Customer Churn Prediction – Achieved 82% accuracy with complete pipeline and interactive dashboard.
• Japanese Sentiment Analysis – Fine-tuned BERT model for Positive/Negative/Neutral classification.
I deliver clean, well-documented, and business-useful solutions. Open to small and medium AI/ML projects including model development, dashboards, and automation.
Strong in Python, XGBoost, Scikit-learn, Streamlit, and end-to-end ML pipelines.
Work Experience
Game Developer & Tester
Godspeed Games Pvt. Ltd.
1/6/2022
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6/6/2023
Worked as Game Developer and Tester on multiple game projects. Responsible for game mechanics implementation, bug testing, and quality assurance. Gained strong experience in debugging, problem-solving, and working with game engines. Specifically - Worked on Bunny Park for Xbox and PS4 as localization patches for up to 30 different languages. Ported the game on hand-held devices having consistent 30fps frames. Tech Stack – UE4, android/PS4/Xbox SDK, C++, git/github control
POD Member (RLHF Contributor)
Outlier AI (Scale AI Subsidiary)
1/12/2024
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Present
• Designed and provided expert human feedback on project-based tasks using Python and Scikit-learn. • Evaluated LLM outputs for reasoning quality and domain-specific accuracy (coding, math, science). Tech Stack – Python, Pandas, Scikit-learn, Tensors
Freelance AI/ML Engineer
Self-employed / Independent
10/7/2025
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Present
Built multiple end-to-end AI/ML projects including: • Credit Card Fraud Detection model with 0.92 recall using XGBoost + SHAP + Docker + Streamlit • Customer Churn Prediction model with 82% accuracy and interactive dashboard • Japanese Sentiment Analysis using fine-tuned BERT model Focused on production-ready solutions with clean code, proper documentation, and deployment.
Education
B.Tech in Computer Science
Bachelor's Degree
8/8/2017
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5/5/2021
B.Tech in Computer Science with 7.7/10 GPA. Focused on programming, system design, and hands-on projects. Completed multiple AI/ML projects during and after graduation including predictive modeling and dashboard development.
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