Shubham Panchal

Software Engineer

Pune, Maharashtra, India11 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in Android and Machine Learning integration.
Proven track record in developing innovative mobile applications.
Strong background in technical documentation and blogging.

Stackforce AI infers this person is a Mobile Application Developer with expertise in Machine Learning and Fintech solutions.

Contact

panchalshubhamdev@gmail.com LinkedIn

Skills

Core Skills

Software DevelopmentApi IntegrationNosql Database ManagementMachine Learning IntegrationSecurity ImplementationData CollectionDashboard DevelopmentApplication DevelopmentMobile Application DevelopmentMachine Learning Deployment

Other Skills

AngularSpring FrameworkFlutterJavaC++PythonSwift (Programming Language)JenkinsDevOpsPrometheusGrafanaAndroid DevelopmentFirebaseXMLSignal Processing

About

Hi! I'm Shubham Panchal, a passionate learner and creator who loves Android, ML and low-level coding. Starting as an Android developer in 2017, I gradually started working with ML models and their usage in Android apps. It primarily includes conversion of ML models in a suitable format, post-training quantization and building pre/post-processing pipelines for inferencing the models in the app. My clients approach me for building face recognition systems (one of my popular projects), bringing an ML feature in an Android app or building ML models for a given problem. Moreover, I can also write technical documentation for services/SDKs in my concerned domains very well. Recently, I have also explored backend technologies with Ktor and FastAPI, alongside cloud technologies on AWS. With my rising interest in languages like C and Rust, I developed a few Rust and C projects as well. Currently, I am looking forward to working with the optimization of ML systems by means of low-level programming and edge ML. Apart from development, I am an active writer on Medium and member on StackOverflow. My blogs cover topics from Android app development, ML and Mathematics. You may find a list here: https://github.com/shubham0204#blogs ✉️ You may send me a message here on LinkedIn or connect with me -> panchalshubhamdev@gmail.com Here's my website -> https://shubham0204.github.io

Experience

11 mos

Total Experience

11 mos

Average Tenure

11 mos

Current Experience

Mastercard

Software Engineer 1

Jun 2025 – Present · 11 mos · Pune, Maharashtra, India · On-site

Working with the API team of Mastercard Send™, a real-time push payments platform for P2P, funding and disbursement transactions.
Integrated a Mastercard-wide Customer Data API in Send's UI portal to pre-fill OI details from ICA number, thus simplifying customer onboarding
Co-developed a Flutter mobile app prototype to demonstrate the use of Send APIs in customer-centric scenarios

AngularSpring FrameworkSoftware DevelopmentAPI Integration

Tech mahindra

Project Intern

Aug 2024 – Feb 2025 · 6 mos · Pune, Maharashtra, India · Remote

Developed a sustainability dashboard that collects system metrics and reports CO2 emissions, power consumption and other process-specific metrics for a computer node
Data is collected via a Python script and aggregated with Prometheus to which the Grafana dashboard is a display endpoint
Explored the use of OpenTelemetry, Jenkins and Azure DevOps pipelines for integration of the tool in an existing CI system

JenkinsPythonDevOpsData CollectionDashboard Development

Objectbox

Software Developer

Jun 2024 – Jun 2025 · 1 yr · Berlin, Germany · Remote

Working with ObjectBox's NoSQL database and vector-store to bring ML/LLM capabilities on-device in Android apps
Developed a LlamaIndex integration for the ObjectBox vector database (merged with main LlamaIndex repository)
Planned and developed JWT authentication support for the ObjectBox Sync Server
Extended the existing HNSW vector search by adding support for a new distance type, and then propagating the change to Java, Dart, Python and Go bindings
Modernized the ObjectBox Swift Generator for use with Xcode 16 and macOS 15

JavaC++PythonSwift (Programming Language)NoSQL Database ManagementMachine Learning Integration

Arcadia hospitality

Android Development Intern

May 2024 – Jun 2024 · 1 mo · Remote

Worked on a Java + XML Android project which is a hospitality solution (prototype stage) provided to the guests, managers and attendants of 5-star hotels
I was one of the two core developers responsible for debugging, adding new features and maintaining the codebase
Implemented filtering, pagination with RecyclerView and Firebase Realtime Database, along with Cloud Messaging for delivering notifications to attendants, added QR scanning capability

Android DevelopmentFirebaseMobile Application Development

Nice

Project Intern

Jan 2024 – Jul 2024 · 6 mos · Remote

Developed a console-based application that notifies developers and QA testers of all impacted AIS entities when a certain AIS entity connected to them is modified
The application reduces debugging time for developers and QA testers by several hours, and accelerates SDLC
Designed a dependency graph in Java that forms nodes from XML entities and reports impacted nodes by performing a DFS traversal on the graph from the nodes
The program's design heavily utilized Java Collections, class inheritance and function overriding

JavaApplication Development

Transvitals private limited

Machine Learning Intern

Sep 2023 – Jan 2024 · 4 mos · Remote

Studied the composition of an ECG signal and neurokit2 to extract features from the ECG signal
Deployed existing pre-trained models for electrolyte and age estimation on-device for an Android app with ONNX
Built a model to predict sleep positions given accelerometer signals from a wrist-worn sensor

PythonAndroid DevelopmentSignal ProcessingMachine Learning Deployment

Clearsky | edge ai

Android + ML Developer

Mar 2022 – Jun 2022 · 3 mos

ClearSky is a Switzerland-based startup aiming to bring cloud/server-free ML-based services for customers
Built a speech-to-text app that would record calls automatically in an Android app and transcribe them as meeting notes

Machine LearningTensorFlowAndroid DevelopmentMobile Application Development

Ajnalens

Android Development Intern

Apr 2020 – Jun 2020 · 2 mos · Thane, Maharashtra, India

Worked as an Android Development Intern with AjnaLens, a tech startup that creates augmented reality headsets for use in education and defence.
Integrated various ML models in Android apps and also improved their efficiency for Android apps.
Worked with 3rd-party libraries that would integrate a hardware component with an Android app

Android DevelopmentTensorFlowMobile Application Development