Applied Scientist-II
Last Mile Science & Technology, Amazon, Hyderabad, India
Dec 2022 to Present
Currently, I'm building NLP solutions on top of Large Language Models (LLMs) and Generative AI to improve Last Mile delivery experience for our customers as well as drivers.
Applied Scientist-I
Last Mile Science & Technology, Amazon, Hyderabad, India
Jun 2020 to Dec 2022
Worked with simple yet extremely challenging texts - customer addresses and delivery instructions. Free-form nature of these texts brings in multiple NLP challenges (viz., multilingual and vernacular language, noisy text, localized spellings, punctuation errors, missing context) and geospatial challenges (viz., incorrect locality-pincode, unlocatable addresses, geography specific nuances, incomplete signals to make accurate predictions). Built multiple ML solutions to segment address text into its components (building, campus, city, etc.), extracting relevant attributes from delivery instructions and leveraging geospatial signals to generate Place embeddings via weak-supervision. All of this work was published in Amazon's internal Machine Learning conference and Place embeddings work was published in Sigspatial.
Project Associate
Robert Bosch Centre for Data Science and Artificial Intelligence (RBCDSAI), Chennai, India
Jun 2018 to Jun 2020
As a Project Associate at RBCDSAI, I focused on developing solutions for Visual Question Answering on scientific plots which was sponsered by Google. My contribution involved the creation of the PlotQA dataset and pioneering object detection on scientific plots. I have presented my findings in esteemed conferences such as WACV 2020 and AAAI 2021, where I discussed a novel question-answering pipeline and object detection model for scientific plots, respectively.
Teaching Assistant
Indian Institute of Technology, Madras
Jul 2017 to Apr 2019
Assisted in the CS41 Deep Learning course at NPTEL, instructed by Professor Mitesh M. Khapra. The course garnered significant attention and has over 12,000 enrollments according to recent statistics. Additionally, served as a Teaching Assistant for the Introduction to Programming course, a mandatory course for all first-year students at IITM.
Indian Institute of Technology, Madras
M.S. (by Research), Computer Science and Engineering
2017 to 2020
My M.S. research was focused on Encoder-Decoder architectures and their applications in Multi-Modal Learning, Object Detection, and Visual Question Answering. I had the privilege of working under the guidance of Dr. Mitesh M. Khapra as my advisor, and I also collaborated with Dr. Pratyush Kumar during the course of my studies. My research work was published in highly respected conferences such as AAAI and WACV.
Sipna College Of Engineering And Technology, Amravati
Bachelor of Engineering (B.E.), Information Technology
2012 to 2016
During my B.E., I gained a strong foundation in Computer Science and was actively involved in multiple programming clubs in the campus. This degree has provided me with a solid academic background to pursue a career in AI/ML industry.
- BERTology
- PyTorch
- Deep Learning
- Scikit-Learn
- Natural Language Processing
- Machine Learning
- Flutter
- Firebase
- LateX
