- ControLight Assistive Technologies was created with the aim to enable differently abled children with sensory developmental disorders and provide them with advanced, technological resources to learn and excel despite their limitations. - ControLight's flagship research venture was ControLearn SDBT (Sensory Development Bubble Tube), a sensory device used to administer therapy in a controlled multisensory environment to aid sensory development of differently abled children, improving their visual and tactile senses, attention spans, and concentration capabilities. - Researched and integrated control features to teach and improve motor skills through switch use. - Pitched to investors to gather CSR funding to make ControLearn SDBT cheaply available to mental health hospitals and institutes across Ahmedabad, and eventually India.

- Employed human-centered design thinking to co-develop a more functional and cost-effective bubble tube at 1/10th the market cost.- Conducted market research and scientific research to identify existing bubble tubes in the market, and thus identified novel features to be incorporated in a sustainable and highly affordable version of the sensory development bubble tube (succeeded in saving up to 92% in costs).- Design successfully patented (Application No. 369628-001)

- Research intern at the Makerspace Lab under Professor Parth A. Shah, researching and test design thinking methods for product development. - Identified needs & pain points by creating product canvases using strategies like ‘Reject, Reuse, Retain’ & AEIOU Summary.- Product ideation and realisation for ControLearn SDBT.

- Researched and engineered various mechatronics and industrial design robots (gestured controlled, IR controlled, wirelessly controlled, and 4 Degrees of Freedom robotic arm designed and 3D printed from scratch).- Explored path planning, object detection, computer vision, and forward and inverse kinematics through robots I built and other simulation softwares, such as SimuLink (MATLAB).

- Explored the exponential growth in data and the field of Data Science, advances in cloud computing, and machine learning that have transformed every industry from retail and banking to healthcare and education. - Studied data driven decision making for businesses using data science and ML techniques (regression modeling).- Investigated digital waves in India due to increased internet use in 2016, and predicted future trends to make important business deductions for growth strategy of streaming services such as Netflix and Hotstar Disney+ in the country.

- Collaborated with 2nd and 3rd year Engineering students as a 10th grader (high school sophomore) from various disciplines and colleges across India (youngest intern in the program).- Headed a sub team in the Avionics Department as an avionics intern in the design and development of a Static Test Pad (STP) for the testing and performance analysis of solid rocket motors. - Leveraged skills in circuit design (Proteus 8 and Arduino microcontroller), PCB design (AutoDesk EAGLE), algorithm development (Python), programming (Arduino IDE), and 3D design (Fusion 360) to independently design and test run avionics bay of the Static Test Pad, which is responsible for running launch sequence, igniting motor, measuring force load, fuel level, and temperature conditions, and remotely logging relevant data for real time graph plotting and performance analysis.