AI/ML Engineer
Passionate AI/ML engineer with hands-on experience in predictive modeling, real-time detection systems, and automation solutions, interested in robotics, UAV control, and embedded AI systems.
Nukebox Studios / TechTree
Apr 2025 – Aug 2025 · Bengaluru
Worked on AI/ML projects for mobile games and internal tools; used BigQuery and DBeaver for large-scale data handling; developed automated prediction models and clustering solutions for game performance metrics; built an AI-powered log analyzer and an AI-driven marketing agent.
MEVI Technology
May 2023 – Aug 2023 · Bengaluru
Applied linear regression, decision trees, and k-means clustering; used Python, TensorFlow, Scikit-learn, and Pandas for data analysis and model development; conducted data preprocessing, feature engineering, and model evaluation, improving accuracy by 15%.
B.Tech, Computer Engineering
2021 – 2025
CGPA: 8.24
Pre-University
2019 – 2021
Percentage: 89%
SSLC
2018 – 2019
Percentage: 93%
Designed and developed an AI-powered telemedicine kiosk for rural healthcare using biometric identification, preliminary AI-based diagnosis, and e-Sanjeevani app integration. Supported medicine distribution through ASHA workers and implemented recommendation algorithms for personalized treatment suggestions and remote doctor consultation.
Developed a real-time animal detection system using PIR sensors, a camera module, and Python-based image capture to provide motion-based alerts, simulating perception and obstacle detection mechanisms relevant to UAV systems.
Implemented logistic regression and random forests to identify patterns indicative of income tax fraud and developed a predictive model to automate fraud detection and improve tax compliance analysis.
Designed and developed a smart blind stick using ultrasonic sensors, Arduino, a buzzer, and a vibration motor to detect obstacles within a 1-meter range and simulate path planning and avoidance.