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I’m a machine learning and computer vision engineer with 5+ years of experience building algorithms for autonomous systems, 6DoF object pose estimation, SLAM, and deep learning. I enjoy turning concepts into robust, production-ready solutions and collaborating effectively across diverse teams to deliver impactful results. From leading robotics software at startups to conducting research at Queen’s University, I excel at delivering end-to-end projects—from data collection and synthetic dataset creation to real-world deployment and field testing.…I’m a machine learning and computer vision engineer with 5+ years of experience building algorithms for autonomous systems, 6DoF object pose estimation, SLAM, and deep learning. I enjoy turning concepts into robust, production-ready solutions and collaborating effectively across diverse teams to deliver impactful results. From leading robotics software at startups to conducting research at Queen’s University, I excel at delivering end-to-end projects—from data collection and synthetic dataset creation to real-world deployment and field testing.

Akash Jadhav

AI Engineer, Data Scientist, Developer, +1

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I’m a machine learning and computer vision engineer with 5+ years of experience building algorithms for autonomous systems, 6DoF object pose estimation, SLAM, and deep learning. I enjoy turning concepts into robust, production-ready solutions and collaborating effectively across diverse teams to deliver impactful results. From leading robotics software at startups to conducting research at Queen’s University, I excel at delivering end-to-end projects—from data collection and synthetic dataset creation to real-world deployment and field testing.…I’m a machine learning and computer vision engineer with 5+ years of experience building algorithms for autonomous systems, 6DoF object pose estimation, SLAM, and deep learning. I enjoy turning concepts into robust, production-ready solutions and collaborating effectively across diverse teams to deliver impactful results. From leading robotics software at startups to conducting research at Queen’s University, I excel at delivering end-to-end projects—from data collection and synthetic dataset creation to real-world deployment and field testing.

Available to hire

I’m a machine learning and computer vision engineer with 5+ years of experience building algorithms for autonomous systems, 6DoF object pose estimation, SLAM, and deep learning. I enjoy turning concepts into robust, production-ready solutions and collaborating effectively across diverse teams to deliver impactful results.

From leading robotics software at startups to conducting research at Queen’s University, I excel at delivering end-to-end projects—from data collection and synthetic dataset creation to real-world deployment and field testing.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Graduate Research Assistant at Ingenuity Labs Research Institute, Queen’s University, Kingston

August 31, 2025 - October 18, 2025

Developed DLTPose, a 6DoF pose estimation framework using per-pixel radial regression and a novel DLT formulation for object surface reconstruction. Achieved mAR of 86.5% (Linemod), 80.0% (Linemod-Occluded), and 90.9% (YCB-Video) across standard benchmarks. Designed a symmetry-aware keypoint generation method using oriented bounding boxes, improving ADD-S and AR on symmetric objects (e.g., YCB-V bowl: 88.8% → 99.5% for ADD-S, 0.715 → 0.893 for AR). Created synthetic RGB-D datasets with pixel-level annotations using BlenderProc2 and PyBullet. Applied RANSAC, Umeyama alignment, and ICP for pose refinement and real-world robustness.

Lead Robotics Software Engineer at Clutterbot Technologies, Bengaluru

July 31, 2023 - October 18, 2025

Led the development of a home-tidying robot’s software stack, expanding the engineering team from 3 to 21 members. Developed a sparse feature pose recovery system using monocular cameras, enhancing localization accuracy and object interaction by 18%. Designed a monocular camera-based 3D object detection and pose estimation system, achieving 5mm accuracy within a 1.5m range. Created SLAM algorithms integrating deep learning models for depth estimation and semantic segmentation to convert segmented regions into 2D laser scans, resulting in a granted patent for floor segmentation-based mapping and navigation. Modeled the home-tidying robot in Gazebo and developed physics-based simulations to evaluate and refine control policies for object interaction and manipulation tasks.

Robotics Engineer (Perception) at Addverb Technologies, Noida

December 31, 2020 - October 18, 2025

Created 6DoF pose estimation algorithms and pickable surface identification using RGBD sensors, enhancing robotic picking efficiency (11-12 picks per minute). Designed an autonomous docking system for mobile robots, achieving 5mm parking accuracy, resulting in a granted patent for autonomous vehicle positioning. Implemented a place recognition and pose estimation pipeline using monocular cameras, reducing delo-calization downtime by 10%. Developed perception systems for Addverb’s flagship products, deployed globally in over 10 industries. Contributed to an AR glass-based system in an intracompany hackathon to assist in mechanical assembly, guiding part placement and monitoring real-time assembly.