Nov 2022 – Sep 2024 · 1 yr 10 mos · Espoo, Uusimaa, Finland · On-site

• Working under the supervision of Prof. Dr. Mario Di Francesco on model compression for deep neural networks. Currently, working on optimization, meta- learning, pruning and quantization for DNNs.

Jun 2022 – Sep 2022 · 3 mos · Espoo, Uusimaa, Finland

• Co-design process is limited by designers, human beings. Their ability is limited to managing a certain number of stakeholders and interactions, which potentially
• harms the whole purpose of involving multiple stakeholders in every step of the design process. As a solution, we envision AI to step in and take some
• responsibility. Our goal in this project is to develop a chatbot that moderates co-design activities in supporting designers. In the context of teachers and students
• designing a course together, we aim to investigate how a chatbot would facilitate conflict resolution. During the internship, we're working on developing the UI and
• interactions of a chatbot that stimulate stakeholders to look at opposing ideas from each other's perspectives and compromise.

Mar 2022 – Mar 2022 · 0 mo · Delhi, India

Sep 2021 – Apr 2022 · 7 mos · Jalandhar, Punjab, India

• Working with Dr. Kuldeep Kumar on the topic, “Pavement distress detection using Deep Learning based methods”. We have been working on a YOLO based model to effectively locate cracks and defects on pavements in an image dataset collected from three different countries (RDD-2020 dataset). A conventional LBP-Cascaded classifier using RetinaNet and MobileNet is also being explored for this purpose. Ensemble techniques may improve the overall accuracy. We have also submitted for publication, a literature review which consists of existing solutions in this problem domain.
• Worked with Dr. Amritpal Singh on exploring the role of Bloom Filters in detection of DDoS Attacks in cloud enabled IoT devices. This probabilistic data structure is preferred more as compared to ML based learning systems for this purpose. Various existing techniques to detect and mitigate such attacks have been explored by us keeping in mind the limitations and vulnerability of IoT devices. This is an extension to my earlier research on detection of DDoS attack in IoT devices using ANN. Both the detection and mitigation part are explored in this study and a survey paper is submitted for publication. We are working on Learned bloom filter for detecting and mitigating flooding attacks in cloud environment.

Jun 2021 – Jun 2021 · 0 mo · Coimbatore, Tamil Nadu, India

Jun 2020 – Aug 2020 · 2 mos · Mumbai, Maharashtra, India

Aug 2019 – Apr 2020 · 8 mos · Kurukshetra, Haryana, India

• Worked on developing a Human Computer Interface for Locked-in-Syndrome patients. Worked under the guidance of Dr. Anoop Kumar Patel. Here, we proposed a VOG based model that automates the task of communication for paralyzed patients using eye blink detection. This is done by localizing the eye landmark points on the face and deriving an Eye Aspect Ratio which when approaches zero indicates
• that the patient blinked. Further, intentional blinks are detected to let the user communicate via characters on the interface.
• Worked with Dr. B.B Gupta in the cyber security domain. Specifically, the work involved the implementation of an Artificial Neural Network based Intrusion Detection System which can accurately detect DDoS attacks in IoT devices in a simulated environment. This IDS is trained on IP traces data to classify safe and hostile packets and based on a threshold an attack is detected, otherwise normal activity is reported. We also explored various ways to mitigate such attacks involving Bloom Filters.

Jun 2019 – Jul 2019 · 1 mo · Delhi

• Worked on Client Project PMI (Protein Metrics Enterprise) using .NET Core C# at backend and Angular JS at frontend.
• Was a Key member of the development team and was responsible for adding support for GraphQL from scratch, integrating Apollo GraphQL Angular support at the client side, adding support for pagination, LINQ, variable reference passing in GraphQL query on SQL server.
• Also Delivered presentations to high level business team.

Jun 2019 – Jun 2019 · 0 mo · Gurgaon, Haryana, India

Jun 2018 – Aug 2018 · 2 mos · New Delhi Area, India

• Event Management System
• Worked as a backend development intern and played a key role in building authentication page for individuals and organization based on civiCRM using JavaScript.
• Added essential search functionality for event/project to find volunteer details and sending automated emails for event participation confirmation.

Nov 2017 – Jan 2018 · 2 mos · New Delhi Area, India

• I interned as a Machine Learning Subject Matter expert at AcadView.

Aug 2017 – Aug 2018 · 1 yr · India

• Worked as a Microsoft Student Partner for a year. Conducted various hackathons, delivered lectures, conducted workshops and built a community of students working on latest Microsoft technologies to solve real problems. Attended the annual MSP summit at BITS pilani, India campus in 2017