B.E. Electronics and Instrumentation & M.Sc. Mathematics

2020 - 2025

Birla Institute of Technology and Sciences

Important Courses Covered:

• Optimisation
• Graph Theory
• Linear Algebra
• Probability and Statistics
• Discrete Mathematics
• Microprocessors and Interfacing
• Digital Design

Positions of Responsibility

2022 - Now

SLAM Lead @Sally Robotics

• Presided over the activities of the Autonomous Navigation Team for the academic year 2022-23.
• Responsible for smooth functioning of the team and coordination with other subsystems.
• Led and trained a team of 15+ students in the fields of Deep Learning, Computer Vision and Simultaneous Localisation and Mapping.

2021 - 2022

Junior Researcher @Sally Robotics

• Worked on Dynamic SLAM Problem, doing Literature Reviews and Further Research
• Worked on Turtlebot3 to implement SLAM Algorithms

2021 - Now

Core member @AI & Robotics Society

• BITS Pilani's society for AI & Robotics enthusiasts. Holding discussions and paper-reading sessions on Machine Learning, Computer Vision, NLP, SLAM, etc. AIRS has previously collaborated with Sally Robotics, Computer Vision Research Society (CVRS), Association for Computing Machinery (ACM) BITS Pilani, Central Electronics Engineering Research Institute (CSIR-CEERI).
• Revived the society in 2022.
• Held paper-reading sessions in the spirit of preserving and propogating Machine Learning research culture in the institute.

2023 - Now

Core member @KXR Lab

• BITS Pilani's First Extended Reality Lab fully equiped to provide space for research and development in Virtual Reality Field, currently in talks with Indian Army for a project.
• Helped in recruitment and ideation on ideas to take up in following semester
• Created a pitch deck for use of VR in application for Indian Army, reviewed technical feasibility and platforms for development

Deep Learning Intern

June,2023 - August,2023

KPMG, Gurugram, IN

Part of Industry 4.0 team at KPMG, Dealing with cutting edge technology implementation for clients. Lead a team of co interns, involving cross collaboration between fields of Consultancy and Mechanical Engineering. Aim of the project is to do forecast of power produced by a wind farm at an Interval of 45 mins for the period of 2-3 days, to improve estimated power output or undertake maintenance accordingly.

• Completed data pre-processing, ensuring a clean dataset and identifying relevant statistical features. Generated reports to analyze correlations specific to each turbine for the period 2019-2021. Dealt with missing values using a rolling median approach to maintain data integrity.Dealt with missing values using a rolling median approach to maintain data integrity.
• Conducted feature engineering using Tabnet, CNN, and XGBoost to address non-linear correlations between features. Developed an ensemble feature extraction method to enhance model performance.
• Applied state-of-the-art methods involving transformers and attention mechanisms for time series forecasting. Achieved an impressive 80% accuracy in one-step prediction.
• Demonstrated exceptional generalization capabilities for a complex Kelmarsh dataset with intricate weather patterns and curtailment issues.
• Maintained a high level of professionalism throughout the project, adhering to industry best practices. & Sole Contributer to final delivery product of a modular codebase.

Researcher and Content Writter

May, 2023 - Now

Hummingbird Robotics YT channel

• Working alongside two full-time robotics engineers learning about best practices in the Industry
• Working on a ROS2 based Docker file for creation of multi-robot tutorials
• Worked on Particle Filter series, this served as an extension to current Kalman Filter series. Article published on Medium by Mathias Mantenelli

Research Intern

Oct,2022 - Jan,2023

Fellowship.AI

Got selected in a competitive cohort of about 20 students across the world and timezones. Collaborating on cutting-edge research

• Worked on replication of GoogleAI, relighting potrait papers.
• Brainstormed various approaches. Came up with the appch followed by the team on using NeRFs and relighting using physics based simulation software
• Worked on various implementations of SoTA NeRF techniques, including NeRF++, NeRF-W, NeRF-T, NeRF-S, NeRF-VAE, etc.

Python Developer Intern

Jun,2022 - Aug,2022

KPMG, Gurugram, IN

Got selected for the Tax,Technology and Transformation team at KPMG, dealing with digital-code based requirements of clients to facilitate day-to-day functioning.

• Created Flask Interface with Authenication to run Python Scripts, for faster implementation and access to clients
• Wrote Code to improve date extraction from financial documents to verify authenticity
• Built a script to extract information from XBRL Documents, within a limited period of time.

Data Science Intern

May,2022 - Jun,2022

Wise Finserv

"Application of Data Science in making Financial Decisions" under the domain of Wealth Management & Financial Planning domain. Under the mentorship of Mr. Ritvik Singh Rautela, AVP- Private Wealth Solutions.

• Understood evaluation metrics for Mutual Funds and importance of diversity in Mutual Funds Investment
• Worked on a linkedin crawler to get contacts of various connections to cold mail them.