---
title: "Sharanya Bharghavi - Software Engineer in Bengaluru | Tal"
description: "Meet Sharanya Bharghavi, Computer Vision Engineer | Perception & Robotics Systems | OpenCV · Deep Learning · Embedded Systems based in Bengaluru. AI stack includes antigravity, gemini, and glama."
image: "https://tal.club/meet/s-sharanya-bharghavi/share-image"
---

# Sharanya Bharghavi on Tal

## 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

[View the original profile](https://tal.club/meet/s-sharanya-bharghavi)

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