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Anirudh Reddy Kondapally

CTO

Tokyo, Japan6 yrs 6 mos experience
AI EnabledHighly Stable

Key Highlights

  • Expert in AI-driven human support systems.
  • Proven track record in recruitment and team leadership.
  • Innovative researcher in natural language processing.
Stackforce AI infers this person is a researcher specializing in AI and machine learning applications.

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Skills

Core Skills

Natural Language ProcessingMachine Learning

Other Skills

Knowledge GraphsGraph Based ReasoningHybrid AI ArchitecturesManagementTensorFlowC++PythonJavaMatlabTeamworkLeadershipPublic Speaking

About

Researcher interested in understanding and supporting human daily life through AI. I also act as a advisor in hiring entry level researchers and software engineers.

Experience

6 yrs 6 mos
Total Experience
6 yrs 6 mos
Average Tenure
6 yrs 6 mos
Current Experience

Honda

Assistant Chief Engineer

Nov 2024Present · 1 yr 6 mos

Honda r&d co., ltd.

2 roles

Recruitment Advisor

Oct 2020Present · 5 yrs 7 mos

  • Part of the team responsible for the global recruitment process Honda R&D, Japan

Researcher

Nov 2019Aug 2025 · 5 yrs 9 mos

  • Common Knowledge Reasoning for navigation in Smart Mobility | Aug’ 21 - Present
  • Tackling the problem of Visual-Linguistic Navigation in real world scenes.
  • Exploring the usage of knowledge graphs, graph based reasoning and hybrid AI architectures.
  • User intention estimation in Tele-operated Bi-manual robot | Nov’ 19 - Nov’ 21
  • Tackled the problem of Multi modal prediction of target objects in real life cluttered indoor scene.
  • Created an intent estimation framework using natural gaze and motion features to predict current intended target object.
  • Developed a system for Bi Manual Manipulation and multi task classication (ex object hand over, jar opening).
  • Successfully demonstrated real time intention based support system on bi-manual robot with multi finger arm.
  • Proposed and implemented affordance based estimation to compensate for limitations of arm motion and gaze.
Natural Language ProcessingMachine LearningKnowledge GraphsGraph Based ReasoningHybrid AI Architectures

Samsung electronics

AI NLU Intern

May 2018Jul 2018 · 2 mos · Suwon, Gyeonggi-do, Korea

  • Developed a framework to automatically download open source pre trained word embeddings with a provision
  • for incorporating new systems created in future to improve scalabilty
  • Performed truncated SVD on the word embeddings given by w2v, glove, fasttext, paragram, universal
  • sentence embedding giving a new projected embedding which synthesizes information from all the 5 embeddings
  • Devised a tool which takes words or phrases as input to give the different types of associated embedding
  • Researched extensively on Smooth Inverse Frequency (sif) weighted embeddings; reviewed 10+ papers
  • Worked on improving the baseline performance given by sif embeddings on transfer tasks included in SentEval

Placement office, iit bombay

2 roles

Placement Manager

Promoted

Jan 2018May 2019 · 1 yr 4 mos

  • Built and lead a 3 tier-team of 250+ coordinators, entrusted with placement and internship of 3600+ students
  • Restructured budget to increase revenue by 65% by introducing placement participation fee for companies
  • Introduced Common Aptitude Tests across 40+ recruiters, aimed to save 3.5 student-hours after day 4
  • Collaborated with 500+ alumni and IITB-AA for a 2 phase assessment model to improve prep of 1000+ students
  • Negotiated with academic body for a dedicated placement preparation slot, incorporating 8% more activities

Internship Coordinator

Apr 2017May 2018 · 1 yr 1 mo

  • Worked in a team of 36 worked towards streamlining and executing internship process for 1800+ students
  • Felicitated with Certificate of Special Mention by Dean IR for acheiving 17% y-o-y growth in CS internships

Silverleaf capital services

Intern

May 2017Jul 2017 · 2 mos · Mumbai Area, India

  • Implemented Matrix Factorization along with SVD and Neural Nets to predict the performance of a student
  • Compared history of attempts of a student with data sets of over 10 million points to validate the accuracy
  • Incorporated temporal data and biases to account for the learning curve and anomalous behavior of students

Education

The University of Tokyo

Doctor of Philosophy - PhD — Computer Science

Oct 2024Present

The University of Tokyo

Master of Science - MS — Computer Science

Sep 2022Sep 2024

Indian Institute of Technology, Bombay

Bachelor of Technology - BTech — Computer Science

Jan 2015Jan 2019

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