Education & Skills

Formal training in robotics, autonomous systems, and intelligent systems, combined with hands-on experience in event-based vision, state estimation, computer vision, data pipelines, and reliable production software.

Education

Master of Science in Robotics and Autonomous Systems (Artificial Intelligence)

Arizona State University · Tempe, AZ, USA

Aug 2024 - May 2026 (expected)

Graduate program focused on robotics, autonomous systems, and AI, with current research in event-based vision and spacecraft attitude estimation. GPA: 3.84.

  • Research Assistant on an ASU-Alphacore NASA event-based star-tracking project for high-speed spacecraft attitude estimation under low-SWaP constraints.
  • Graduate projects in differentiable physics, vision-guided manipulation, autonomous drone landing, time-series forecasting, and deep learning model engineering.

Bachelor of Technology in Computer Science (Specialized in Intelligent Systems)

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).
  • Smart India Hackathon winner and National Innovation Contest finalist representing MIT-ADT University.

Skills

Robotics, State Estimation & Control

Building autonomy stacks that connect sensing, estimation, simulation, planning, and feedback control.

ROSMATLAB / SimulinkNVIDIA Isaac Sim / Isaac LabNVIDIA WarpPID / PI ControlInverse KinematicsSLAMVisual OdometryWahba Attitude EstimationEKF-style Estimation

Event-Based Vision & Space Autonomy

High-speed asynchronous sensing and attitude-estimation pipelines for low-SWaP spacecraft autonomy.

Event-Based CamerasAsynchronous SensingStar TrackingCentroid ExtractionCentroid CorrectionAstrometrySynthetic Data GenerationAdaptive Measurement UncertaintyLow-SWaP Systems

AI, ML & Computer Vision

Designing and evaluating deep learning systems for perception, forecasting, reconstruction, and generation.

PyTorchTensorFlowScikit-learnOpenCVYOLO3D Gaussian Splatting3D ReconstructionTransformersTemporal Fusion TransformerLSTMARIMAXBERT / GPTGANs & Diffusion ModelsReinforcement LearningDeep Imitation LearningModel Deployment

Backend, Systems & DevOps

Engineering production-grade services and data-intensive systems for reliability-critical environments.

PythonC / C++MATLABSQLBashJavaLinux / UnixQtDjangoFastAPIREST APIsSDK DevelopmentDockerKubernetesAWSFirebaseGitHub ActionsCI/CDMQTTRaspberry Pi

Data, Reliability & Performance

Closing the loop between system behavior, quantitative metrics, profiling, and engineering decisions.

Data EngineeringData PipelinesData CatalogingData ProcessingMySQLMongoDBDatabase DesignPandasNumPyMatplotlibMetrics / KPI DesignExperiment AnalysisData Quality AssuranceObservabilityProfiling & DebuggingConcurrencyMultithreaded SystemsDistributed Systems