Headline

Computer Vision Engineer | Perception & Robotics Systems | OpenCV · Deep Learning · Embedded Systems

About

Software engineer with 3+ years across embedded systems and mobile platforms, now working in computer vision and deep learning engineering. 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗕𝗮𝗰𝗸𝗴𝗿𝗼𝘂𝗻𝗱: Building scalable mobile architecture for 𝗿𝗲𝘁𝗮𝗶𝗹 𝗲𝗰𝗼𝗺𝗺𝗲𝗿𝗰𝗲 at Landmark Group, with work spanning over computer vision and ML-driven personalization. Previously worked on connected e-bike systems at EMotorad, building 𝗕𝗟𝗘 communication pipelines, 𝗢𝗧𝗔 updates, and 𝗿𝗲𝗮𝗹-𝘁𝗶𝗺𝗲 𝗺𝗼𝗯𝗶𝗹𝗲-𝘁𝗼-𝗵𝗮𝗿𝗱𝘄𝗮𝗿𝗲 experiences across Android and iOS. 𝗖𝘂𝗿𝗿𝗲𝗻𝘁 𝗙𝗼𝗰𝘂𝘀: Deepening applied CV through hands-on projects in 𝗣𝘆𝘁𝗵𝗼𝗻 and 𝗣𝘆𝗧𝗼𝗿𝗰𝗵 𝗼𝗯𝗷𝗲𝗰𝘁 𝗱𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻, 𝗶𝗺𝗮𝗴𝗲 𝘀𝗲𝗴𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻, 𝗮𝗻𝗱 𝗺𝗼𝗱𝗲𝗹 𝗲𝘃𝗮𝗹𝘂𝗮𝘁𝗶𝗼𝗻. Building working proficiency in 𝗖++ for 𝗲𝗺𝗯𝗲𝗱𝗱𝗲𝗱 𝗶𝗻𝗳𝗲𝗿𝗲𝗻𝗰𝗲 pipelines. Documenting experiments at medium.com/@ssharanyab. 𝗪𝗵𝗮𝘁 𝗜'𝗺 𝗹𝗼𝗼𝗸𝗶𝗻𝗴 𝗳𝗼𝗿: Roles in 𝗰𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝘃𝗶𝘀𝗶𝗼𝗻 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴, 𝗲𝗺𝗯𝗲𝗱𝗱𝗲𝗱 𝗠𝗟, or 𝗮𝗽𝗽𝗹𝗶𝗲𝗱 𝗱𝗲𝗲𝗽 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴, particularly teams working on 𝗽𝗲𝗿𝗰𝗲𝗽𝘁𝗶𝗼𝗻 𝘀𝘆𝘀𝘁𝗲𝗺𝘀. Project work: ssharanyab.github.io

Location

Bengaluru

AI stack

antigravity

gemini

glama

hugging face

ollama

openai

Work experience

Software Engineer at Landmark Group, Apr 2025 - Present · 1 yr 5 mos, Bengaluru

Software Engineer at EMotorad, Oct 2023 - Apr 2025 · 1 yr 7 mos, Bengaluru, Karnataka, India, • Designed app architecture and set up the project environment for scalable development. • Streamlined BLE communication for seamless data transfer between the E-bike and the app. • Implemented over-the-air (OTA) updates for E-bike, enabling seamless firmware updates remotely. • Played a key role in developing and enhancing 20+ features for the mobile app. • Enhanced app performance with isolates, services, and caching. • Led release cycles for Android and iOS platforms.

Flutter Developer at Posha (formerly Nymble), Feb 2023 - Jul 2023 · 6 mos, Bengaluru, Karnataka, India, • Built in-app video streaming for recipe ingredients prep with swipe navigation & playback control. • Collaborated on recipe web-dashboard, adding features for recipe customisations. • Ensured code reliability and maintainability through a testable framework and unit testing. • Actively participated in Agile development processes.

Flutter App Developer Intern at Vizuara, Jun 2022 - Jul 2022 · 2 mos, Remote, • Engineered and delivered the core version of the mobile application. • Created interactive home screen dashboard and synced chapter/quiz data.

Mentee - Amazon ML Summer School '22 at Amazon, Jun 2022 - Jul 2022 · 2 mos, Remote, • Attended live training on Supervised Learning, Deep Neural Networks, Dimensionality Reduction, Unsupervised Learning, Probabilistic Graphical Models, Sequential Learning, Causal Inference, and Reinforcement Learning.

Education

Bachelor of Technology - BTech, Lovely Professional University

High School, kendriya vidyalaya