Jitesh Gosar.

GenAI and ML engineer with nine years across Japan and India. Agentic LLM pipelines, RAG, fine-tuning, and prompt engineering, on a deep computer-vision and synthetic-data foundation. IIT Bombay, JLPT N2, currently a Technical Specialist at Sony India Software Center.

Nine years, four teams, two countries.

2023 – Present
Technical Specialist
Sony India Software Center
Bangalore, India
  • Architecting agentic LLM pipelines for internal AI systems: speech-to-text, RAG over domain knowledge, and multi-agent reasoning orchestrated with LangChain.
  • Working on computer vision and ML systems with engineering teams across Japan and India, including synthetic data pipelines and ML evaluation workflows for camera and imaging systems.
  • Cross-cultural technical coordination as a JLPT N2 speaker, translating requirements between Japanese stakeholders and India-based engineering teams.
Agentic LLMs · RAG LangChain Computer Vision Synthetic Data JLPT N2
2022 – 2023
AI Technical Lead
Honda Research Institute · via L&T Technology Services
Tokyo, Japan
  • Led development of three applications on the Haru social robot: an emotionally-intelligent Telegram remote built with LoRA fine-tuning on a Hugging Face model, an international classroom mediator (Japan ↔ Australia), and an NLP collaborative storyteller. Deployed at 10+ research institutions globally.
  • Built the virtual simulation world for Haru from scratch in Unity, enabling safe scenario testing before real-world deployment.
  • Coordinated a 5–20 person distributed team across Japan, Spain, and Australia, aligning requirements, delivery cadence, and technical integration across time zones.
  • Educational mediator demo led to published academic research papers on human-robot interaction.
LoRA · Hugging Face Social Robotics NLP · Dialogflow Unity · React
2020 – 2021
AI Engineer / Project Lead
Pasona Tech, Inc.
Osaka, Japan
  • Led a 3-person team to build a CAD symbol and text detection system for automated construction cost estimation. Achieved 85% accuracy across 30+ classes using Mask R-CNN and keypoint models.
  • Independently created synthetic training datasets using Blender, Unreal Engine, and OpenCV, eliminating manual annotation cost.
  • Built a reinforcement learning simulation using Unity ML Agents in a 3D environment for autonomous robot behavior testing.
  • Visited customer locations to instruct on synthetic data creation methods.
Computer Vision PyTorch Synthetic Data Reinforcement Learning
2017 – 2020
Research Consultant · Autonomous R&D
Hino Motors · via CBS Techno Co. Ltd.
Tokyo, Japan
  • Contributed to the Level-4 autonomous truck program as part of a 17-person R&D team. The truck eventually drove driverlessly on Hino's real test course.
  • Led a 4-month autonomous driving demo project on a ZMP Robocar platform, mentoring new engineers and coordinating parallel development of A* path planning, YOLO object detection, PilotNet lane control, and obstacle avoidance.
  • Served as bilingual technical bridge between Japanese engineers and English-speaking university partners.
  • Established a documentation methodology for managing source code from multiple service providers.
Autonomous Vehicles Sensor Fusion A* · YOLO · PilotNet ROS
Summer 2016
Electronics Engineer · Internship
Tech Mahindra Ltd.
Pune, India
  • Led development of a Li-Fi prototype, transforming LED lamps into data transmitters using BeagleBone Black and Arduino.

The tools I reach for, by frequency.

GenAI & LLMs
  • OpenAI · Claude · Gemini
  • LangChain · multi-agent systems
  • RAG · vector databases
  • Prompt engineering · fine-tuning (LoRA)
ML & Computer Vision
  • Python · PyTorch · TensorFlow / Keras
  • NLP · Hugging Face · Whisper
  • OpenCV · Mask R-CNN · YOLO
  • Detection, segmentation, synthetic data
Simulation & Robotics
  • ROS · Gazebo
  • Unity (C#) · Unity ML Agents
  • Unreal Engine · Blender
  • Sensor fusion (LiDAR + camera)
Build & Ship
  • FastAPI · Flask · Django
  • React · SQL / NoSQL
  • AWS · Git · CI/CD · Docker
  • Cross-cultural delivery
2013 – 2017

Indian Institute of Technology, Bombay

B.Tech, Electrical & Electronics Engineering · Mumbai, India

Built and published Android apps on Google Play. Led a hackathon team building an AR app with Unity3D and Vuforia. Marketing Coordinator at Abhyuday (social festival), Organizer at Mood Indigo (cultural festival).

2023IBM DevOps and Software Engineering Specialization
2021JLPT N2 · 日本語能力試験
2021AWS Certified Cloud Practitioner
2019Deep Learning Specialization · DeepLearning.AI
English
Fluent · TOEIC 905
日本語
JLPT N2 · Full Professional
हिन्दी
Native