Jitesh Gosar Jitesh Gosar
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Experience

Technology professional with 8 years of experience in ML/CV, robotics, and simulation across Japan and India. Specialized in bridging research and production.

NOTE

For the latest resume in English or Japanese (PDF), please contact me .

Work History

Technical Specialist

Jun 2023 → Present
Sony India Software Center · Bangalore
  • Led improvements for camera image-segmentation models, driving experiments, evaluation, and quality gains.
  • Produced structured progress reports to support stakeholder decision-making and ML workstream planning.
  • Acted as feature owner for a camera software workstream, balancing model quality, timelines, and engineering constraints.
  • Scoped requirements, risks, and success metrics with Japan-side stakeholders before execution.
  • Coordinated requirements with Japan-side stakeholders and aligned execution with India-based engineering teams.
  • Strengthened cross-team communication and delivery cadence in a bilingual environment (English/Japanese).

AI Technical Lead

Jan 2022 → May 2023
Honda Research Institute · Tokyo
  • Designed analysis and debugging tools using ROS and Python to support robotics researchers.
  • Defined product direction and prioritization for internal research tools used by robotics teams.
  • Converted research goals into user stories and phased delivery plans.
  • Contributed to a social-robot application stack: React frontend, SQLite database, and Python backend integration.
  • Developed and supported a Dialogflow-based extended chatbot application and NLP model for a storytelling game.
  • Balanced research exploration with practical delivery constraints.
  • Defined user stories and coordinated multi-stakeholder collaboration across researchers and external partners.

AI Engineer / Project Lead

Feb 2020 → Dec 2021
Pasona Tech, Inc. · Osaka
  • Built computer vision models for enterprise use cases, including detection, segmentation, and keypoint estimation.
  • Created synthetic datasets using Blender, Unreal Engine, Unity, and OpenCV to expand training coverage.
  • Implemented Python inference and tuning workflows, including hyperparameter iteration and evaluation reporting.
  • Evaluated feasibility, effort, and impact of multiple AI approaches to guide client-facing PoC direction.
  • Supported client-facing PoCs by translating requirements into working prototypes and technical documentation.

Research Consultant — Autonomous R&D

Sep 2017 → Jan 2020
Hino Motors · Tokyo
  • Implemented path-planning code and ran perception experiments using LiDAR and camera sensor setups.
  • Applied ML to object detection and behavior logic, including PilotNet-based control and YOLO detection.
  • Built ROS-based remote control and obstacle avoidance prototypes on an autonomous vehicle platform.
  • Supported roadmap planning for autonomous-driving experiments by aligning research outputs with development needs.
  • Served as a bilingual bridge between Japanese stakeholders and English-speaking partners for technical discussions.
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