Robert Bosch Center for Data Science and Artificial Intelligence ( Jan’2019 - Present )
- Working on Interpretability and Learnability of Deep Attention Networks and Robustness of Neural Network to different types of Noises.
- Awarded Samsung-IITM Pravartak Post Graduate Fellowship for our Research work.

Oracle India Pvt. Ltd. India Development Center ( July’2018 -Dec’2018 )
- Was Application Developer in Construction Engineering Global Business Unit (CEGBU)
- Developed new features and resolved clients bugs of Primevera software.
- Involved in development of micro-services of ‘Forms and Workflows’.
- Hands-on experience with REST API. Experienced in maintaining and evolving a monolithic code base for a customer facing product

Intern at IIT Madras (Dec 16 - Jan 17)
Worked with RISE Group (Reconfigurable and Intelligent Systems Engineering ) under the guidance of Prof. V.Kamakoti on Shakti Processors.
DRAM CONTROLLER: Implemented Thread Clustering Memory Access Scheduling Technique using Bluespec System Verilog.

Interpretablity of Attention Models
LN Pandey, Rahul Vashisht, Harish Guruprasad
Under review in AAAI2022

Learning Dynamics of Attention Models
LN Pandey, Rahul Vashisht, Harish Guruprasad
will be submitting in AISTATS2022

Microsoft Malware Detection

Stack Overflow Tagging

Quora Question-Pair Similarity

Cancer Diagnosis Using Medical Literature

Instagram Follower - Followee Recommendation Using Graph Mining

Taxi Demand Prediction in New York City

Netflix Movie Recommendation System (Collaborative based recommendation)

Amazon fashion discovery engine (Content Based recommendation)

Human Activity Recognition

Autopilot - Self Driving Car

Image Classification using ANN and CNN on fashion MNIST dataset from scratch.

CS6015: Linear Algebra and Random Processes by Prof. L. A. Prasanth

CS5020: Non-Linear Optimization, Theory and Algorithms by Prof. Harish

CS5691: Pattern Recognition and Machine Learning by Prof. Harish

CS7015: Deep Learning by Prof. Mitesh Khapra

CS6730: Probabilistic Graphical Models by Prof. Manikandan Narayan.

CS6464: Concepts in Statistical Learning Theory by Prof Sukhendu Das.

Manav Uthan Manch (NGO) ( Mar’2020 -Present )
- Volunteer, Resource Management COVID-19
- Managed resources and genuine information about hospital vacancies, medicines, distributors and suppliers of oxygen/oxygen concentrators across India during phase 2 of COVID-19 and tried saving as many lives as possible.
- Organized various campaigns and fund raisers for COVID-19 victims and survivors.

Teaching Assistant CS5691 (Jan 21- June 21)
CS5691 Pattern Recognition and Machine Learning. I am assisting Prof. Manikandan Narayan in this course.

Teaching Assistant CS5691 (June 20 - Dec 20)
CS5691 Pattern Recognition and Machine Learning. I was assisting Prof. Harish in this course.

Teaching Assistant CS5691 (Jan 20 - June 20)
CS5691 Pattern Recognition and Machine Learning. I was assisting Prof. Harish in this course.

Teaching Assistant CS5691 (July 19 - Dec 19)
CS5691 Pattern Recognition and Machine Learning. I was assisting Prof. Arun Rajkumar in this course.

Teaching Assistant CS1100 (Jan 19 - June 19)
CS1100 Programming in C. I was assisting Prof. Hema in conduction labs, evaluating quizzes, and exams.

Secretary of Mathematics Club ( Jun’2016 -Jun’2017 )
- organised and conducted quizes, aptitude classes, guest lectures etc

Samsung-IITM Pravartak Fellow (May 21 - April 22)
Received Samsung-IITM Pravartak Post Graduate Fellowship

Star TA Award (July 19 - Dec 19)
Star TA Award for CS5691 (July 19 - Dec 19) by Department of Computer Science and Engineering, IIT Madras.

Best Project Award (2017)
Awarded by Director, AIT in FE/SE/TE category at AIT.

Army Group Insurance Fund (AGIF) Scholarship (2015-16, 2016-17, 2017-18)
Merit Scholarship for excellence in academics in three consecutive academic year.

Merit Scholarships
Awarded by Indian Army for excellence in academics in the years 2011, 2013, 2014, 2015 and 2016.