Worked as a member of the Specialized Research in Chaotic Systems (SPaRCS) group, a skunkworks organization tasked to invent novel instrumentation to accelerate the discovery of new biologic and small molecule drugs.

Developed a novel instrument to perform vial filling in constrained environments. Obtained exceptional results helping AbbVie’s Drug Analysis groups to accelerate their research.

Developed a novel instrument to automate time-constrained complex fluid extraction from organ-on-chip devices emulating human gut in specialized biological environment. Used a dual arm robot manipulator with smart collaboration algorithm to achieve exceptional operation speeds. The device delivered very promising results helping AbbVie’s immunology research groups.

Lead a project to build a robust instrument that consolidates chemical compounds from smaller tubes into bigger tubes for drying down. The process automates a complex compound extraction process.

Developed software architecture and performed robot programming for an instrument to increase the throughput of a mass spectrometry analysis system our group has previously built.

Instrumental in introducing latest technologies in robotics to the group which dramatically eased some of the group’s projects and increased capabilities.

Developed many new robot APIs for the group and upgraded some of the existing ones.

Contributed for various other projects of the group’s members, playing the role of a robotics expert within the group.

Individually built a low-cost, powerful face recognition and tracking system for a Robot Air-Conditioner (RoCo).

Responsible for System design, Integration, Software and Hardware Development, and Testing.

Implemented learning-based tracker and face recognizer with 80% tracking accuracy and 91% recognition accuracy respectively. 

Used PoseNet, a deep learning based pose estimator and augmented the tracking accuracy to 95%.

Attached 3D depth sensor ensures a precise positioning of air-nozzle towards the user.

Implemented the design on Raspberry Pi 4B. Reduced the overall cost by 40% compared to previous prototype.

Deep Learning engine runs on Coral Edge TPU. Performs inferences between 32-36 real-time fps

Built a desktop version of the same RoCo prototype.

Developed a thermal-camera based face tracking system for a Forklift mounted air-conditioning system.

Responsible to report to the Client and Principle Investigator on weekly basis.

Worked as an Analyst for Lloyds Banking Group Client.

Performed data fixes to the Database by writing efficient SQL queries based on the client’s requirement.

Investigated and analyzed errors that occur in the database and designed data fixing procedures for new errors.

Documented a 5-month long training process during the transition of the project from Wipro Ltd. to Tata Consultancy Services Ltd. and created a complete Knowledge base for the project.

Reported directly to the clients located at Leeds, UK. Received several accolades from the client