* Led a 3-member R&D team on adaptive assistance in human-machine teaming for dynamic information sharing and situationally-aware intelligent tasking.* Developed deep learning models using LSTMs and Transformers to estimate pilot cognitive states, enhancing operational safety.* Contributed to the planning and development of the helicopter simulator and interface for Manned-Unmanned Teaming missions.* Streamlined integration and ongoing testing for the helicopter simulator development.Working on a copilot assistant using advanced voice recognizer, synthesizer, and LLM model.

* R&D in hierarchical-MDP to address the multi-map/multi-floor navigation problem, facilitating seamless elevator integration.* Demonstrations of the Wheelchair robot's functionalities for clients, showcasing its advanced capabilities and potential applications.* Integration and testing of developed functionalities in the robot, enhancing reliability and performance.

* Researched on human behavior & physiological features, and their use in Human-Robot Interaction.* Designed a human (mental) state estimation system.* Designed a Mixed-Initiative Interaction framework that shares tasks between human and UAVs based on their present conditions & capabilities.* Designed an automated planning technique for controlling the interaction using POMDP.* 1 Journal paper, 3 conference papers, 2 conference posters

* Course Instruction: Taught "Algorithm and Computing" using Python to Master's students in Aerospace Engineering.* Academic Tenure: Conducted the course across two consecutive years, 2019 and 2020.* Student Assessment: Responsible for evaluating assignments and providing constructive feedback to enhance learning outcomes.

Joined SpaceSense.ai at a very early stage of its incubation and helped them develop some of the core applications.* Taking part in project proposal writings.* R&D of Synthetic-aperture radar (SAR) satellite-based applications.* Image processing using RGB satellite data, for RGB-based products.* Implementing machine learning tools for real-world problems. * Worked with Python, OpenCV, GDAL, Rasterio, SkLearn, and SNAP toolbox.

Lead Researcher in a joint project with M-ITI and IST Portugal to develop a user interface for robot teleoperation, focusing on physiological responsiveness.* Investigated EEG, ECG, EMG, EDA, eye-tracking, and facial analysis for enhanced interface design.* Crafted ML models to analyze operators’ cognitive states, improving interface intuitiveness.* Developed a Physiologically Attentive User Interface for user-centric teleoperation solutions, achieving notable results for a conference paper within seven-months.

Worked on developing the architecture for a teleoperated tracked robot, and was also involved in the development of an autonomous shuttle called NOVUS DRIVE.* Obstacle detection and avoidance with LiDARs.* Worked with C++, Python, ROS, OpenCV, and ROS navigation stack, 3D point cloud, 2D & 3D LiDARs.* Interfaced with bus’s CAN network for autonomous vehicle projects.

* Reverse Engineering: Engaged in reverse engineering to evaluate and enhance the functionality of a highly complex C++ application.* Framework Transition: Assisted the development team in transitioning the application from C++ to a .NET framework, ensuring seamless integration and performance.

* Application Development: Engineered highly complex and scalable business applications to meet evolving needs.* Requirements Engineering: Analyzed and interpreted client needs to guide the development of tailored software solutions.* Data Structures: Formulated and implemented advanced data structures for new software projects, enhancing efficiency and scalability.

* Consulting: Provided expert consulting services to technical professionals, enhancing project outcomes.* Training: Led corporate training sessions, imparting advanced technical knowledge and skills.* Project Guidance: Provided strategic project guidance to teams, ensuring alignment with corporate objectives.