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Kaustub SrivastavaKS
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Kaustub Srivastava

@kaustubsrivastava

AI/ML and analytics professional at Garuda Aerospace, who deployed a crop-health CNN for live drone video.

India
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What I'm looking for

I’m transitioning from aerospace engineering into AI/ML and Advanced Analytics, and I’m seeking work where I can apply engineering methods to build and validate practical data and AI/ML solutions.

At Garuda Aerospace Pvt. Ltd., I fine-tuned a ResNet-based CNN for crop-health classification and anomaly detection on live drone video, then deployed it through a browser-based dashboard used by field operators. I also deployed visual odometry with an Extended Kalman Filter, improving positional accuracy by 70–80% against independent GPS ground truth over 100+ test flights.

At Indian Institute of Technology (IIT) Dharwad, I developed a ROS2-based interface for an AI-assisted conveyor-belt defect-detection system and built a Python pipeline to turn multi-sensor time-series into analysis-ready datasets. I designed a GUM-compliant validation and QC framework benchmarked against three independent ground-truth sources.

My projects include a credit-risk scorecard and prediction pipeline evaluated with AUC-ROC, Gini, and KS, as well as SQL and Power BI analysis of insurance policyholder lapse drivers. I’m an Aerospace Engineering undergraduate focused on applying machine learning, computer vision, and analytics to practical engineering problems.

Experience

Work history, roles, and key accomplishments

ID

Summer Research Intern

Indian Institute of Technology (IIT) Dharwad

May 2026 - Jul 2026 (2 months)

Developed a ROS2-based human-machine interface with a live computer-vision inference backend for an AI-assisted conveyor-belt defect-detection system. Built a 2,400+ line Python pipeline for signal resampling, sensor fusion, drift correction, and forward-kinematics feature extraction, and designed a GUM-compliant statistical validation framework benchmarked against three independent ground-truth s

GL

R&D Intern

Garuda Aerospace Pvt. Ltd.

Jan 2026 - May 2026 (4 months)

Fine-tuned a ResNet-based CNN for real-time crop-health classification and anomaly detection on live drone video, deployed via a browser-based monitoring dashboard. Deployed a computer-vision visual-odometry pipeline fusing camera ego-motion and multi-sensor inertial data via an Extended Kalman Filter, improving positional accuracy 70–80% vs. independent GPS ground truth over 100+ test flights.

Education

Degrees, certifications, and relevant coursework

Punjab Engineering College logoPC

Punjab Engineering College

Bachelor of Technology, Aerospace Engineering

2023 -

Activities and societies: Workshop Leader, Punjab Engineering College — led technical training sessions; coordinated DRONEVERSE 2.0, a national-level seminar and competition, with the Aeronautical Society of India.

Pursuing a Bachelor of Technology in Aerospace Engineering, expected to graduate in 2027.

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