Education

Arizona State University, Online (May 2019 - July 2021)

MS in Computer Science with ML Specialization.
Summa Cum Laude - CGPA 4.0/4.0

PES Institute of Technology, Bengaluru (Aug. 2012 - May. 2016)

B.E in Information Science and Engineering.
GOLD medalist - ISE Branch with CGPA 9.44/10

Work Experience

Walmart Global Tech

Principal Data Scientist (Aug. 2025 - Present)
- Bentonville, United States
- NextGen Commerce
Staff Data Scientist (Dec. 2023 - Aug. 2025)
- Bentonville, United States
- As part of Enterprise Safety & Security, leading Computer Vision team to ensure safety and security of customers and associates in store and Home office campus environment. Involves Object detection, pose estimation and filtering the detections through vision language models for real-time use cases.
Senior Data Scientist (Apr. 2022 - Dec. 2023)
- Dallas, United States
- Developed an in-house computer vision-powered product to provide accurate person count and dwell time estimates in Electronic section of Walmart stores leveraged by Advertisement team to strategically price the Ads displayed based on customer traffic patterns. This eliminated the survey based techniques previously employed to get the person engagement metrics which led to savings of $130K/year.

Walmart Global Tech India

Senior Data Scientist (Sep. 2020 - Jul. 2022)
- Bengaluru, India
- Spearheaded the efforts for NLU and Information retrieval-based projects which included automatically adding resolutions to Service Now incidents raised by associates and built a HR-chatbot answering to the general queries by Walmart employees.
Data Scientist (Aug. 2018 - Sep. 2020)
- Bengaluru, India
- Text extraction from product images using STN-CNN-BiLSTM Network with attention mechanism, trained on synthetically generated image data using Wal-mart product descriptions.
- Sentiment Analysis & Topic modelling on review text using CNN, Bi-LSTM networks and Transfer Learning techniques.
Software Engineer - Data Science (Aug. 2016 - Jul. 2018)
- Bengaluru, India
- Attribute extraction from product descriptions & titles to fill the missing attributes in product catalog using a sequence to sequence models with word and character embeddings.
- Wal-bot: a framework for building conversational chatbots.
Data Science Intern (Jan. 2016 - Jun. 2016)
- Bengaluru, India
- Worked on Face recognition POC using Siamese Neural Network.
- Visualizing analytics-driven solutions using technologies like D3.js, NVD3 and Angular JS.

Publications & Posters

[2023] Computer Vision based people movement analytics, SparkTech Summit, Bentonville.
[2021] From Pixels To Words: A Scalable Journey Of Text Information From Product Images To Retail Catalog, accepted in 30th ACM International Conference on Information and Knowledge Management (CIKM) as full paper under Applied Research Track, Australia.
[2020] Text Extraction from Product Images, accepted in ECML-PKDD a premier European machine learning and data mining conference, Belgium.
[2018] Upcycle Your OCR: Reusing OCRs for Post-OCR Text Correction in Romanised Sanskrit, published in 22nd Conference on Computational Natural Language Learning (CoNLL), co-located with EMNLP, Belgium. Authors: Amrit Krishna, Bodhisattwa Majumder, Rajesh Shreedhar Bhat, Pawan Goyal.
[2015] Presence of an Ecosystem: a Catalyst in the Knowledge Building Process in Crowdsourced Annotation Environments, published in IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), Paris. Authors: Anamika Chhabra, Sudarshan Iyengar, Poonam Saini, Rajesh Shreedhar Bhat

Invited Talks & Workshops conducted

[2024] Speaker at Google DevFest, San Diego
Topic: Semi automated Data Labeling for Computer Vision tasks with PaliGemma
[2023] Speaker at Zoho Corporation, Chennai India (Virtual)
Topic: Strategies for approaching Kaggle competitions
[2023] Speaker at Google IO Extended, Silicon Valley
Topic: Harnessing Vision Transformers for various computer vision tasks
[2023] Workshop organized by UC Davis Google Developers Student Club, UC Davis California
Topic: Managing Machine Learning Projects with Poetry
[2022] Keynote Speaker at Google Dev Fest, GDG Northern Colorado
Topic: Faster model inference with TensorFlow - TensorRT integration
[2022] Speaker at Walmart AI Summit, Bengaluru
Topic: Object-detection and Tracking in Large-scale Retail Environments
[2021] Panelist at Google DevFest, India
Topic: Fireside chat with ML experts
[2021] Speaker at Seoul AI Summit, Seoul (Virtual)
Topic: Image Stitching with Deep learning techniques
[2021] Speaker at PyCon India
Topic: Fine Grained Image Classification
[Dec 2020] Speaker at ECML PKDD Industry Track, Ghent, Belgium (Virtual)
Topic: Finding Data Scientist Challenges in using ML Platform
[Dec 2020] Speaker at Seoul AI Summit, Seoul (Virtual)
Topic: Conversational AI using transformer models
[Dec 2020] Speaker at ODSC India & APAC chapter
Topic: Text Extraction from Images using Deep learning techniques
[Nov 2020] Speaker at Data AI Summit, Europe chapter organised by Databricks
Topic: Detecting and Recognising highly arbitrary shaped texts from Product Images
[Oct 2020] Speaker at AI Summit Silicon Valley
Topic: Extracting Text from Product Images
[Jun. 2020] Speaker at Spark AI Summit organized by Databricks, North America chapter
Topic: Text Extraction from Product Images using DL techniques
[May. 2020] Speaker at Data Science Leadership series organized by Aegis School of Data Science, Mumbai
Topic: Detecting the presence of Covid-19 from Chest X-rays using Conv Nets
[Apr. 2020] Speaker at event organized by IEEE Computer Society, GCET Gujarat
Topic: Building career in Data Science
[Nov. 2019] Speaker at Kaggle Days Meetup (Senior Track), Bangalore
Topic: Attention mechanism in NLP and Vision
[Nov. 2019] Speaker at Data Hack Summit 2019, Bangalore
Topic: Image Captioning with Attention Models
[Oct. 2019] Speaker at Kaggle Days Meetup (Senior Track), Bangalore
Topic: Text Extraction from Product Images
[Aug. 2019] Panelist at Kaggle Days Meetup (Senior Track), Bangalore
Topic: Kaggle Journey and Approaching Kaggle competitions
[Jun. 2019] Workshop at IIIT Kancheepuram, Chennai
Topic: Conducted Deep Learning workshop, part of faculty development program
[2019] Chief Guest and Judge at “Tech Vyuha 2.0”, technical fest organised by ISE Department, Global Academy Of Technology, Bangalore
[Mar. 2018] Workshop at GE HealthCare, Bangalore
Topic: Conducted Deep Learning workshop

Patents

[US11055557B2] - End to End Attribute Extraction from Product Images, Granted July 2021
[US11164300B2] - System and method for automated electronic catalogue management and electronic image quality assessment, Granted Nov 2021
[US11861669B2] - System and method for textual analysis of images, Granted Jan 2024
In-store traffic measurement in TV wall section using Walmart Security Cameras via Computer Vision Techniques in a cost-effective way, Filed July 2023

Blogs/Articles Written

Towards Data Science

Author at Weights & Biases

Awards and Achievements

Walmart Maverick Award, for an associate who exhibits creativity at work and represents Walmart in well known forums as tech speaker.
Best Poster Award, for Extracting text from product images organized @Walmart Labs, Bengaluru.
Bronze Medal🥉, Humpback Whale Identification Challenge, Kaggle.
Silver Medal🥈, Quora Insincere Questions Classification challenge, Kaggle.
Spot Award, recognition for exceptional performance, dedication & positive attitude on the job @Walmart Labs.
Bronze Medal, Quick, Draw! Google Doodle Recognition challenge, Kaggle.
Top 1%, WNS Analytics Wizard challenge hosted on Analytics Vidhya.
Runner Up, Walmart Global Hackathon.
Silver Medal🥈, Toxic Comment classification challenge, Kaggle.
Silver Medal🥈, IEEE’s Signal Processing Society - Camera Model Identification, Kaggle.
Winner, Synehack 201.7 Synechrone.
Winner, GE Health-Hack - Video analytics theme GE Healthcare.
Summer Research Fellowship, offered by IAS, IISc, INSA through Summer Research Fellowship Program IIT Ropar.