M

Meet Mehta

Software Engineer

Toronto, Ontario, Canada5 yrs 6 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • Led a team to build a GenAI-powered platform.
  • Optimized disaster management systems at Ericsson.
  • Developed an IoT-driven flood prediction system.
Stackforce AI infers this person is a Software Engineer specializing in cloud-native architectures and machine learning solutions.

Contact

Skills

Core Skills

TypescriptAwsKubernetesJavaLeadershipPublic SpeakingMachine LearningFull-stack DevelopmentReactGrafanaAngularDjangoPythonDeep Learning

Other Skills

ASP.NETASP.NET MVCAWS GlueAWS LambdaAmazon AthenaAmazon BedrockAmazon CloudFormationAmazon CloudWatchAmazon Relational Database Service (RDS)Amazon SQSAmazon Simple Notification Service (SNS)AngularJSApache KafkaArtificial Intelligence (AI)Artificial Neural Networks

About

I’m Meet Mehta, a passionate Software Engineer with 3+ years of experience crafting scalable infrastructure and backend solutions in cloud environments. I thrive at the intersection of technology and innovation, specializing in storage optimization, data pipelines, and modern cloud-native architectures. At Morgan Stanley, I led a team to build a GenAI-powered platform that cut time-to-market by 33% and engineered PaaS solutions streamlining deployment efficiency. My academic journey at Concordia University saw me develop an IoT-driven flood prediction system, blending machine learning with real-world impact. From optimizing disaster management systems at Ericsson to contributing to Google’s FHIR Data Pipes, I’m committed to creating solutions that matter. With expertise spanning Python, Java, Kubernetes, and more, I’m always looking for opportunities to tackle complex challenges and drive meaningful change. Let’s connect to build the future, one innovative idea at a time!

Experience

5 yrs 6 mos
Total Experience
10 mos
Average Tenure
8 mos
Current Experience

Amazon

Software Engineer

Oct 2025Present · 8 mos · Toronto, Ontario, Canada · On-site

  • Region Flexibility Engineering
TypeScriptAmazon Relational Database Service (RDS)Amazon SQSAmazon Simple Notification Service (SNS)AWS LambdaAmazon CloudWatch+7

Morgan stanley

2 roles

Software Engineer II

Sep 2024May 2025 · 8 mos · Montreal, Quebec, Canada

Software Engineer I

Sep 2023Sep 2024 · 1 yr · Montreal, Quebec, Canada

  • Working in a Infrastructure team to build a on-prem cloud native deployment platform
Spring BootSystems DesignFull-Stack DevelopmentKubernetesJavaPlatform as a Service (PAAS)+10

Toastmasters international

Executive Committee Member

Feb 2023Sep 2024 · 1 yr 7 mos · Montreal, Quebec, Canada

  • I actively develop my leadership and communication skills through Toastmasters Club. As an Executive Committee Member, I collaborate with others to run the club. I'm also an Active Speaker, regularly giving presentations that hone my public speaking and ability to connect with an audience.
LeadershipPublic SpeakingCreative Writing

Ericsson

Software Developer

Sep 2022Aug 2023 · 11 mos · Montreal, Quebec, Canada · On-site

  • Led a cross functional team of technical leads to design and deploy a flood monitoring system utilizing microservice architecture. This system scaled to handle a massive 2,000 requests per minute.
  • Built a high-throughput data ingestion platform capable of processing 10,000 sensor data points per second and efficiently storing them in InfluxDB.
  • Conceptualized and developed an interactive flood monitoring dashboard with React and Grafana. This real-time visualization tool reduced average response time to on-site issues by 15 minutes, saving valuable time during critical flood situations.
  • Optimized data processing pipelines, resulting in a 25ms latency reduction in flood predictions compared to the previous system. This improvement translates to faster, more accurate flood forecasting.
Systems DesignPython (Programming Language)DockerMachine LearningGrafanaFull-Stack Development+6

Morgan stanley

Software Developer

May 2022Aug 2022 · 3 mos · Montreal, Quebec, Canada · Hybrid

  • Spearheaded the full-stack development of a platform leveraging Angular and Java, enabling the deployment of 40,000 applications in a containerized environment.
  • Optimized the Angular UI for performance, achieving a 40% reduction in page load time through lazy-loaded modules.
  • Increased product visibility and stakeholder engagement by 20% at a global tech expo.
Systems DesignGitJavaAngularTypeScriptMySQL+6

Concordia university

Software Developer

Dec 2021Apr 2022 · 4 mos · Montreal, Quebec, Canada · On-site

  • Spearheaded the development of an advanced platform, reducing contract processing time by an average of 5 days for Teaching and Research Assistants.
  • Streamlined administrative processes, enabling efficient contract signing and renewal, contributing to a 20% increase in staff satisfaction.
  • Engineered a tailored mailing service, facilitating direct communication to 6,000 union members collectively.
MailChimpSimple Mail Transfer Protocol (SMTP)DjangoGitPython (Programming Language)Software Development+1

Rapidken.ai

Senior Software Engineer

May 2020Jul 2021 · 1 yr 2 mos · Bengaluru, Karnataka, India · Remote

  • Revolutionized customer experience by slashing response time from 10 seconds to a lightning-fast 3 seconds through the implementation of features built with Spring Boot, Google Cloud Platform, and Elasticsearch.
  • Optimized data ingestion and concurrent processing in Java, boosting system efficiency by 15%. This translates to smoother operations and a more responsive user experience.
  • Enhanced search functionality by implementing refined algorithms and leveraging Elasticsearch. This resulted in a dramatic 40ms reduction in search query response time, leading to a 33% increase in user engagement metrics.
GitJavaAngularGoogle Cloud Platform (GCP)TypeScriptMySQL+8

Space applications centre, isro

Software Engineer

Dec 2019May 2020 · 5 mos · Ahmedabad, Gujarat, India · On-site

  • Leveraged machine learning algorithms and INSAT-3D satellite imagery. to devise a remarkably precise cyclone tracking model for the Bay of Bengal Basin, achieving an unprecedented accuracy rate of 98.7% , potentially mitigating the risk and saving numerous lives.
  • Collaborated with research scientists to meticulously analyze cyclone data, Deep Reinforcement Learning methodologies, and INSAT-3D satellite imagery, culminating in actionable insights for future investigations.
  • Employed Python and Keras frameworks on high-performance computing systems to streamline data cleaning and extraction procedures, fostering the development of robust training and validation datasets.
Artificial Neural NetworksDeep LearningPython (Programming Language)Convolutional Neural Networks (CNN)Machine LearningTensorFlow+2

Education

Concordia University

Master of Computer Science(Thesis) — Computer Science

Sep 2021Aug 2023

Dharmsinh Desai University

Bachelor of Technology - BTech — Computer Science

Jul 2016May 2020

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