Sarthak Garg

Machine Learning Engineer

Dehradun, Uttarakhand, India4 yrs 3 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Expert in deploying machine learning models on edge devices.
Innovative developer of healthcare applications enhancing communication.
Proficient in both Android development and machine learning algorithms.

Stackforce AI infers this person is a Machine Learning Engineer with expertise in Robotics and Healthcare applications.

Contact

shibugarg0303@gmail.com LinkedIn

Skills

Core Skills

Machine LearningEdge MlAndroid DevelopmentComputer Vision

Other Skills

AlgorithmsAnalytical SkillsAndroidArtificial Intelligence (AI)Back-End Web DevelopmentC (Programming Language)C++Cluster AnalysisComputer ScienceConvolutional Neural NetworksData ModelingData ScienceData StructuresDatabasesDebugging

About

My name is Sarthak, and I am a Machine Learning Engineer at Intelligent Edge Systems. We focus on developing and optimizing machine learning models for deployment on edge devices. We specialize in efficient deployment on various platforms such as Nvidia Jetson, Hailo, Sima, Isaac ROS, and through GStreamer pipelines. Currently, I am involved in diverse projects ranging from 6D pose estimation of objects to large language models (LLMs). Before this role, I gained valuable experience at CSIR-CSIO, primarily focusing on Android development using Kotlin and Jetpack Compose. I contributed significantly to a healthcare application by implementing features such as facilitating three-way communication between doctors, users, and patients, and ensuring real-time data updates and appointment scheduling. My work involved overcoming the limitations of existing platforms by integrating machine learning models compatible with TensorFlow Lite for seamless deployment and operation. In addition to my professional experience, I have undertaken various personal projects spanning machine learning, web development, automation, and Android applications.

Experience

4 yrs 3 mos

Total Experience

1 yr 5 mos

Average Tenure

1 yr 7 mos

Current Experience

Indmoney

2 roles

Machine Learning Engineer

May 2025 – Present · 1 yr 1 mo · Bengaluru, Karnataka, India · On-site

Machine Learning Intern

Oct 2024 – Apr 2025 · 6 mos · Bengaluru, Karnataka, India · On-site

Intelligent edge systems

Machine Learning Engineer

Mar 2024 – Oct 2024 · 7 mos · India · Hybrid

I am working at Intelligent Edge Systems as an ML Engineer, where we focus on ML projects designed for deployment on edge devices. I have experience with various edge devices, including Nvidia Jetson and Sima. Additionally, I have worked with ROS to develop robotic solutions for bin-picking robots. My responsibilities span from research to deployment of solutions in edge devices.

Machine LearningEdge mlNvidiaROS

Csir-central scientific instruments organisation

Internship Trainee

Jan 2024 – Apr 2024 · 3 mos · India · On-site

During my internship at CSIO in the Medical Research Department, I focused primarily on Android app development for online appointment booking with doctors at hospitals. Unlike existing platforms that facilitate two-way communication between doctors and users, our app innovatively enabled three-way communication involving users, hospitals, and doctors nationwide. This approach aimed to streamline and enhance communication by assigning specific responsibilities to each party, thereby ensuring a more seamless and effective user experience.
Additionally, I minorly contributed to machine learning projects during my internship. Specifically, I worked on developing algorithms for predicting early diabetic foot ulcers using Terahertz imaging data. Leveraging computer vision techniques and convolutional neural networks (CNNs), our goal was to create a robust predictive model that could aid in early detection and intervention.

AndroidKotlinMachine LearningComputer VisionConvolutional Neural NetworksAndroid Development

Cdgc - training & placement cell, pec

Training class representative

Jan 2023 – Jan 2024 · 1 yr · Chandigarh, India

I'm currently working in CDGC as TCR. Role of me as a TCR is to propose and apply new initiatives and call the companies in my college for placements and internship drives.