Education & Skills

Formal training in engineering, deep learning, and robotics, combined with hands-on experience building autonomous systems and AI models.

Education

Arizona State University · Tempe, AZ, USA

Aug 2024 – May 2026 (expected)

Graduate program focused on robotics, autonomous systems, and AI, with an emphasis on deep learning, perception, and control for autonomous systems.

Coursework in deep learning, computer vision, robotics, and control systems (e.g., EEE 598 Deep Learning, autonomous systems labs).
Projects in differentiable physics, vision-guided manipulation, autonomous drones, and deep learning model engineering.

MIT School of Engineering, MIT-ADT University · Pune, India

Aug 2017 – July 2021

Undergraduate program specializing in intelligent systems, machine learning, and computer science fundamentals.

Final-year project: Descriptive Question Answering System using BERT and transformers, published at the IEEE Pune Section International Conference (Dec 2021).
Represented the university at national-level innovation events, including Smart India Hackathon (winner) and National Innovation Contest (finalist).

Building autonomous systems that connect perception, planning, and control.

RoboticsROSPX4 / ArduPilotAutonomous DronesSystem IdentificationDifferentiable PhysicsSimulation (Isaac Lab)

Designing and training deep learning systems for perception, forecasting, and generation.

TransformersVision Transformers (ViT)CNNs (ResNet)RNNs / GRUs / LSTMsGANs & Diffusion ModelsPerceptual LossesRepresentation Learning

Modeling, dynamics, and control for real-world robotic and autonomous systems.

Linear Algebra & OptimizationProbability & StatisticsControl (PID, MPC)Trajectory PredictionSystem ModelingTime-Series Forecasting (TFT, ARIMAX)

Engineering production-grade systems from low-level embedded to high-level ML.

PythonC / C++PyTorchNumPy / PandasLinuxGitDockerThree.js / React Three Fiber