Curriculum Vitae

Previous CV here (last updated in Aug 2016)

Education

Ph.D. in Artificial Intelligence - NLP from Tokyo Insititute of Technology
March 2025 | CGPA: 3.4 / 4.0
Dissertation: Examining Impact of Evaluation Dataset Characteristics on Acceptability Judgments.
Advisor: Prof. Naoaki Okazaki
Master of Technology in Computer Science from Indian Institute of Technology (IIT) Delhi
June 2014 | CGPA: 8.01 / 10
Dissertation: Compiler Backend for CGRA
Advisor: Prof. Anshul Kumar
Bachelor of Engineering in Computer Science from Truba College of Engineering and Technology
June 2010 | 80.03% (Ranked 2nd / 90)
Advisor: Asst. Prof. Ritu Tandon
Higher Secondary from N.G.Jain Higher Secondary School
April 2005 | Percentage: 84.2

Global NLP Solutions Leadership: Led cross-functional teams to deliver NLP solutions across E-Commerce, Finance, and Travel domains, resulting in a 10% improvement in project delivery efficiency.
Keyword Advertisement Optimization: Spearheaded a bidding strategy optimization project for external search engines, leading to a 1.5% increase in conversion rate (CVR).
Knowledge Graph for Attribute Extraction: Initiated and drove the development of a Knowledge Graph system to extract product attributes, enhancing data accuracy for downstream applications on the E-Commerce platform.
Large Language Model Development: Contributed to building Rakuten’s in-house state-of-the-art Japanese 7B Large Language Model.

Global Cross-Functional Collaboration: Built and maintained cross-functional collaborations across 13 countries, aligning technical teams and business stakeholders to enhance global project coordination and synergy.
End-to-End Program Ownership: Led full-cycle program execution—from idea conception to development, QA, and delivery—resulting in a 7% improvement in overall execution efficiency.
Automated Ad Generation: Invented sequence-to-sequence machine learning algorithms for automated ad content generation in paid channels (e.g., Google), boosting conversion rates by 2%.
Lexicon-Free Japanese Tokenizer: Led the development of a lexicon-free tokenizer for Japanese text, integrating it into six business use cases and significantly enhancing text processing capabilities.

Leadership & Strategy: Promoted to Head of NLP in 2018, driving major data science initiatives across the Asia-Pacific region while reporting to the CDO.
Fraud Detection Platform: Developed a deep learning-based fraud detection system for credit card transactions, introducing an optimized sequence representation for RNNs, resulting in a 14.5% improvement in detection accuracy.
Patent & Innovation in Text Summarization: Invented and patented an unsupervised text summarization algorithm, enabling new summarization features for news and customer calls in finance and telecom domains.
Research Lab & Talent Development: Helped establish Rakuten India’s research lab, recruited senior AI leadership, and co-founded the AI Trainers group to mentor and upskill machine learning talent across teams.

Smart Mobility Decision System: I led a multidisciplinary team on the Smart Mobility Decision System project in collaboration with the Swarm Lab. I developed a system that offered optimal recommendations for users choosing between elevators, stairs, and escalators, enhancing decision-making efficiency by 20%. I also managed project timelines and deliverables, ensuring successful and timely completion.

Hybrid Deep Learning for High-Performance Computing: Invented a hybrid convolution algorithm (SXDNN) for deep learning, implemented on NEC’s SX-ACE Supercomputer, reducing inference time by 65%–95% for state-of-the-art CNN models.
Compiler Optimization for Instruction Selection: Developed and patented an algorithm for optimal instruction selection in compilers, achieving up to 1.25× acceleration in program execution.
Performance Optimization for Biometric Systems: Designed novel algorithms and data structures to enhance biometric application performance, resulting in a 2× speedup.

CSL 201: Data Structures: Assisted in conducting lab sessions, evaluated assignments and answer scripts, and supported students through viva and demonstrations.
CSL 861: Special Topics in Hardware Systems: Supported course delivery through evaluations and demonstrations, contributing to student understanding of advanced hardware concepts.
CSL 332/632: Introduction to Database Systems: Conducted labs, graded assignments and exams, and facilitated vivas to reinforce core database principles and practical skills.