Mayank Joshi

Senior Software Engineer

Bengaluru, Karnataka, India8 yrs experience

AI ML PractitionerAI Enabled

Key Highlights

Led backend team for AI-powered IoT devices.
Engineered high-throughput data pipelines for real-time data handling.
Architected microservices achieving 99.99% availability.

Stackforce AI infers this person is a Backend-focused Software Engineer with expertise in IoT and AI-driven solutions.

Contact

joshismayank@gmail.com LinkedIn

Skills

Core Skills

Data Warehouse ArchitectureInternet Of Things (iot)Software DesignAi DevelopmentDistributed SystemsSpring BootData EngineeringSoftware DevelopmentMachine LearningBackend DevelopmentData MigrationPerformance Prediction

Other Skills

API DevelopmentAWSAWS GlueAWS RedshiftAmazon DynamoDBApache JmeterBashComputer VisionDimensionality ReductionDropwizardGNU OctaveGitGoogle Cloud Platform (GCP)HadoopIntelliJ

About

I am a software engineer with over 6 years of professional experience (excluding internships and academic projects) in designing and implementing backend systems, with a strong academic foundation. I hold a B.Tech from IIT Kanpur and an MS in Computer Science from the University of Colorado Boulder. Currently, I lead the backend team at Cradlewise, building features and managing user data through APIs and data pipelines for AI powered IoT devices. Previously at VMware, I led the end-to-end design and implementation of services in large-scale distributed systems, creating SaaS pipelines with microservices, APIs, and asynchronous event-driven workflows. I have also built the backend and ML pipelines for an AI-driven job portal, enabling efficient user data handling. Skills: Large distributed systems, Kubernetes, Docker, Spring, AWS, Java, Redis, RabbitMQ, MongoDB, PostgreSQL, PySpark, Data warehouses

Experience

Cradlewise

Senior Software Engineer

Nov 2024 – Present · 1 yr 5 mos · Greater Bengaluru Area · Hybrid

Driving backend architecture for IoT and AI-powered smart cradles for babies using AWS services. Building systems to handle real-time device data and support future AI integrations.
Engineered high-throughput data warehouse pipelines using AWS Redshift and Glue to ingest 1K+ events/sec, solving database bottlenecks caused by inefficient queries and significantly reducing operational costs.
Designed and implemented subscription pipelines and APIs to support multiple marketplace- and user-specific plans, replacing the previous single-plan system.
Developed a computer-vision AI algorithm for baby breath detection by optimising Dimensionality Reduction-based approaches to run efficiently in limited memory and processing environments.

Software DesignData Warehouse ArchitectureInternet of Things (IoT)MapReduce

Vmware

Software Engineer

Sep 2021 – Nov 2024 · 3 yrs 2 mos · Palo Alto, California, United States

Architected and delivered Spring microservices to integrate SaaS platforms with external cloud marketplaces, handling orders, modifications, cancellations, and status checks. Built Kubernetes-deployed services with retry logic and asynchronous event handling, achieving 99.99% availability, and scaled them to support additional marketplaces and products, boosting organizational revenue. Guided cross-functional teams to streamline validations and status updates, improving operational efficiency.
Engineered telemetry pipelines to provide actionable insights for product teams and developed a usage service with partner teams, delivering near real-time consumption data to customers.
Modified auth service by adding alternate authentication pipelines to enable seamless & verifiable migration.

KubernetesDistributed SystemsPostgreSQLSpring BootJava

Paypal

Software Engineer Intern

May 2021 – Aug 2021 · 3 mos · Austin, Texas, United States

Architected and developed a developer tool - an Intellij plugin to help developers write custom language.
Conceptualized features like code auto-complete, syntax highlighting with java, lexers, parser trees.
Tool facilitated developers by reducing coding time by 40% and thus increased adoption of new language.

KubernetesPostgreSQLJavaSoftware Development

University of colorado boulder

2 roles

Graduate Research Assistant

May 2020 – Aug 2020 · 3 mos · Boulder, Colorado, United States

Pioneered a ”learning from demonstration” technique for a Panda arm (a robot).
Tested the hypothesis in simulation and real world using Gazebo, ROS.
Incorporated ML libraries like Scikit-learn and Bayesian functions to achieve accuracy of 80%.

JavaMachine Learning

Teaching Assistant

Aug 2019 – Apr 2021 · 1 yr 8 mos · Boulder, Colorado, United States

Assisted course instructors in Computer Science courses.
Responsible for students of a section and helped them with all course related problems.
Conducted recitations (in-class teaching), held office hours, graded and created assignments.

Skillate

Software Engineer

Jul 2017 – Apr 2019 · 1 yr 9 mos · Bengaluru Area, India

Engineered the backend of an AI-powered recruitment portal to enable automatic job matching and form filling. Developed backend APIs for candidate and job retrieval, storage, and display, emphasizing portal speed and usability.
Built ML pipelines to run AI models on resumes and job listings, improving matching accuracy. And created internal tools to help the AI team collect and annotate resume and job data for model training.

KubernetesPostgreSQLSpring BootJavaNoSQLRabbitMQ+3