• Successfully secured a $20,000 grant as a Co-PI to conduct research on improving medication adherence among elderly individuals living alone.
• Developed innovative video-detection algorithms to detect and address pain points and reasons for unsuccessful pill-taking activities using a novel wrist-worn camera device.

• Successfully secured a $20,000 grant as a Co-PI to develop innovative tools for tracking physical activities and improving remote training experiences.
• Developed a novel wrist-worn camera device to facilitate tracking of physical activities and reduce the need for personal trainers, particularly among sports enthusiasts and elderly individuals living alone.
• Developed valuable tools using a novel wrist-worn camera device to track physical activities, improve remote training experiences, and reduce the need for personal trainers among sports enthusiasts and elderly individuals living alone.

• Part of the third prize-winning team in All India Software Development SESCON-15 conducted at Sri Eshwar College of Engineering in 2015.
• Won first prize in a coding competition, Denken Fest, conducted during Aaruush at SRM University in 2014.
• Award for Academic Excellence by Indus Foundation in 2014.
• Won first prize in CTF (Capture flag) conducted at eHack by Infysec as a group competition and placed at sixth position in the individual competition in 2013.

• Developed and presented a Participatory Design Framework for Dementia Technology.
• Integrated key pillars of Technology, Laws, Architecture, Markets, Norms, and Education.

• Understanding Relationship Between Technological Tools and those Affected by Dementia.
• Co-initiate, Co-discover, Co-inspire, Co-define, Co-develop, Co-deliver phases.
• Dementia patients benefit from low-fidelity technology solutions.
• Explored the usability of location services as a future mode of operation.
• Implemented a framework for human-centered development called "Compassion by design."

• Pioneered cutting-edge LIDAR object detection algorithms, including PointNet, PointNet++, and VoxelNet.
• Enhanced precision in environmental perception.

• Successfully implemented a visual serving technique using depth estimation for Fetch robot to locate and reach target objects.
• Developed a novel approach using wrist-centric view to find the pose of the end effector for the Fetch robot.
• Developed an approach using stereo cameras on the robot's head to estimate depth and determine the pose of objects, overcoming previous challenges with obstructed views and tangled cables.

• Led a team of four to model a question-answering system based on semantics of a movie summary.
• Helped users find a movie based on arbitrary knowledge about the movie using Convolution Neural Networks, Coreference Resolution, Sentence Embedding, Event and Named Entity Networks, and achieved 54.7% accuracy.

• Built a hot spot analysis model analyzing a 50 GB+ NYC Taxi and Limousine Commission dataset using Getis-Ord statistic, Apache Spark, Scala, and Ganglia.
• Identified 50 most statistically significant NYC locations by passenger count.

• Built an ensemble of three neural networks and six random forest models using TensorFlow and scikit-learn.
• Trained models on 11 million records and achieved 71% accuracy.

• Implemented visualization system using state-of-the-art techniques such as Shneiderman's Information Visualization mantra and multiple coordinated views.
• Developed query-based visualization from 1 billion taxi trips for insights on pickup locations based on location, pickup time, fare, tip, and passenger count.
• The system helps taxi drivers increase productivity and revenue by allowing them to query and find the best pickup locations.

• Developed a Question Answering System by implementing Semantic Parsing, Query formulation, and Graph matching modules.
• Used DBpedia as a knowledge base to answer questions related to firms.

• Successfully developed a Smart Cities and Infrastructure Module using a Luxonis Oak-D-IoT-40 (Edge device) for Occupancy Counter, Queue Counter, Mask Detection, Social Distance Checker, and Huge Crowd Counter.
• Provided a public API for crowd analytics.

Project: Mayhem Heroes

Skills/Technologies: Rust, Docker, Cargo, DevOps, DevSecOps, Github Actions

Date: April 2022 - June 2022

Description: Integrated Mayhem, an autonomous AI fuzzy testing tool that finds new exploitable bugs in 48 qualified OSS projects.

Achievement: Recognized as a Top 2nd Mayhem Hero for integrating Mayhem.

• ACM Transactions on Multimedia Computing, Communications, and Alililications (TOMM)
• ACM Conference on Human Factors in Computing Systems (CHI)
• Pacific Visualization Symposium (PacificVis)
• Computer-Human Interaction of Australia (OzCHI)
• International AAAI Conference on Web and Social Media (ICWSM)
• Conference on Human Robot Interaction (HRI)
• International Conference on Human-Computer Interaction (HCII)

• Taught over 200 students Human-Computer Interaction (CSE 463) under Dr. Hasti Seifi concepts like prototyping, usability principles, and heuristics from Spring 2023.
• Assisted professor in designing course structure, quizzes, examinations, and grading.
• Course Instructor for FSE 100: Introduction to Engineering (Fall 2020, 2022 and 2023) fundamental concepts in engineering design process; working in engineering teams; engineering profession; engineering models; written and oral technical communication skills.
• Taught over 1400 students Human-Computer Interaction (CSE 463) under Dr. Robert Atkinson concepts like prototyping, usability principles, and heuristics from Spring 2019, Fall 2019, and Spring 2020. Assisted professor in designing course structure, examinations, and grading.
• Lab Instructor for CSE 110 : Principles of Programming with Java (Summer 2019, 2020, and 2022). Taught basics of Java to a class of 60 students and provided one-on-one attention and mentorship to inculcate interest in coding.

• Assisted professor in Introduction to Software Engineering (CSE 360) in designing course structure, assignments, examinations, and grading.
• CSE 180 : Computer Literacy (Summer 2020). Taught basic computer fundamentals such as Microsoft Excel, Word, HTML, SQL, Networking, Security, etc., to a class of 150 students.
• Assisted professor in designing course structure, examinations, and grading for Intro to Human-Computer Interaction (CSE 463).
• Assisted professor in grading assignments and examinations for CSE 110: Principles of Programming with Java.

• Mentored four undergraduate students and one undergraduate volunteer to develop and test new wearable technology using off-the-shelf components.
• Developed mobile and deep learning applications.

• Mentored three teams of 2 graduate students and 18 undergraduate students developing and testing new features in applications like driver tracking, new payment options, and new localization layouts.

• Created and taught a premier AI curriculum for 24 high school students covering concepts such as Clustering, Classification, Naive Bayes, Regression, Neural Networks, Data, and Bias with hands-on experience developing projects.

• Mentored four students to build a web-based and standalone application to help clean and process data collected from various sources such as Brain-Computer Interfaces, Galvanic Skin Response, AFFDEX/FACET Facial Expression, and Eye Tracking to increase efficiency of teams working with data.

• Mentored two teams of one graduate and 12 undergraduate students to efficiently improve packing methods for shipping companies, especially freight shipping for FedEx.
• Two applications are used as a tutoring or supervising system that helps to build stable pallets and efficiently fill shipping containers of various sizes and shapes.

• Orchestrated seamless daily operations providing unwavering support to a dynamic team, and offering invaluable mentorship to foster professional growth.
• Spearheaded and streamlined diverse research initiatives in Affective Computing and Augmented Reality utilizing Hololens, guiding collaborative efforts, securing grants through meticulously crafted proposals, and nurturing the development of both graduate and undergraduate talents.