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Toronto, Canada

Sava Stosic

Forward Deployed & Solutions Engineer

I turn ambiguous business problems into reliable cloud systems and shipped products.

Toronto-based solutions engineer and product builder with seven years of experience spanning customer discovery, Azure architecture, data platforms, applied AI, and end-to-end software delivery.

Open to roles and projects

  • FDE roles
  • Solutions Engineer roles
  • Custom development
Sava Stosic standing in a rocky valley with a snow-covered mountain behind him.
Mount Everest Base Camp · 2026

Evidence

Peak events processed per second

50K+

Peak events processed per second

Azure ingestion and processing systems for industrial clients

Deployment effort reduced

50%+

Deployment effort reduced

Through AI-enabled automation built into the delivery workflow

Contract value of client environments supported

$3M+

Contract value of client environments supported

Cloud, data, and analytics environments delivered and maintained

Secured capital projects supported

$400K+

Secured capital projects supported

Through RFPs, technical proposals, and client-facing solution work

Enterprise delivery

Case studies

Client work, generalized. Each one starts with the business problem and ends with a measured result.

Real-Time Industrial Data Platform

Industrial clients needed high-volume operational data ingested, processed, and made visible in near real time. I ran discovery and workshops, designed the architecture, and delivered systems processing 50,000+ events per second.

RoleRequirements discovery, architecture, implementation, delivery planning

Azure IoT Hub · Azure Event Hubs · Microsoft Fabric · …

50K+Peak events processed per second

AI-Enabled Deployment Automation

Repetitive deployment work was consuming delivery time and creating room for inconsistency. I built LangChain-based agentic workflows for scope discovery, human intervention decisions, and final verification against internal knowledge, reducing deployment effort by more than 50%.

RoleWorkflow discovery, LangChain agent design and build, delivery integration

LangChain · Agentic workflows

50%+Reduction in deployment effort

Industrial Machine Learning Under Limited Data

Predicting ore-grinding output size and throughput where the available data was far thinner than the modelling problem deserved. CRISP-DM kept the work anchored to a business question and honest about what the data could support.

RoleEnd-to-end data science: framing, data understanding, modelling, evaluation

Python · Scikit-learn · Pandas · …

Selected work

Products I designed and built

A map-based social app, a cross-platform card game, and a private resident portal. I designed and built the products and the systems behind them.

Durak's green and gold home screen with Quick Play and Custom Game actions
Durak gameplay with two bot opponents, an active card exchange, and the player's hand

Live on the App Store

Durak, view project details

Durak for iOS, Android, and web. Play online or offline, free and without ads.

My role Product design & engineering

400+users

As of

3,000+games played

As of

React Native · Expo · TypeScript · Cloudflare Workers · Durable Objects · …

How I work

From an ambiguous ask to something running in production

Four things I do repeatedly, across enterprise delivery and my own products.

  • Customer discovery and solution shaping

    I work with stakeholders to turn an open-ended problem into clear requirements, practical constraints, and a delivery plan.

    • Requirements workshops with technical and business stakeholders
    • Scope, data access, security, budget, and delivery constraints
    • Clear requirements and tradeoffs for decision-makers
  • Cloud and data architecture

    I design Azure systems for high-volume operational data, from ingestion and processing to analytics and dashboards.

    • Cloud environments and ingestion sized to the workload
    • Processing, storage, and near-real-time analytics
    • Reliability, observability, security, and cost
  • Applied AI and automation

    I apply predictive modelling and automation to specific business problems, and measure the results.

    • Python modelling with limited or imperfect data
    • CRISP-DM framing and evaluation
    • Automation of repetitive delivery workflows
  • End-to-end product engineering

    I build mobile and web products from the initial idea through design, implementation, release, and ongoing development.

    • UX, client applications, backends, and data models
    • Privacy, moderation, and account lifecycle
    • Release management and post-launch iteration

Experience

Seven years, three chapters

Industrial data science, enterprise Azure delivery, and entrepreneurship.

  1. Entrepreneurship

    Entrepreneur

    2025 – Present

    End-to-end ownership, from idea and design through implementation, launch, and ongoing development.

    Apps & product ideas

    Designing, building, and maintaining Flare, Durak, and Harbourpoint Community, from the original idea through release.

    Custom industry deployments

    Tailored applications, integrations, and automation for industry, from requirements and architecture through delivery.

    SwiftUI · React Native · Expo · Next.js · Firebase · Firestore · TypeScript · Node.js · MapKit · Cloud Functions

  2. Aspire

    Cloud Engineer

    September 2021 – February 2026

    Azure cloud, data, and analytics delivery for industrial customers.

    • Led client discovery, technical workshops, architecture, and implementation
    • Delivered systems processing 50,000+ events per second and supported environments representing $3M+ in contract value
    • Built AI-enabled automation that reduced deployment effort by more than 50%

    Azure · Azure IoT Hub · Event Hubs · Azure Data Explorer · Azure Functions · Azure SQL · Power BI · Python · SQL · KQL

  3. Hatch

    Data Science and Systems Integration

    July 2019 – September 2021

    Industrial data science, predictive modelling, and technical proposals.

    • Led end-to-end industrial data-science work using the CRISP-DM framework
    • Built Python-based predictive models under limited-data constraints
    • Contributed to RFPs, technical proposals, and solution development associated with more than $400K in secured capital projects

    Python · Scikit-learn · Pandas · NumPy · CRISP-DM · SQL

About

Where customers, product, and engineering meet

I am a Toronto-based solutions engineer and product builder with seven years across industrial data science, Azure delivery, and entrepreneurship. I lead discovery, design architectures, and build production systems with the people who use them. Alongside client work, I develop my own products: Flare, a map-based social app; Durak, a cross-platform card game; and Harbourpoint Community, a resident portal.

Based in Toronto, Ontario, Canada. Open to FDE and Solutions Engineer roles, and custom development projects with teams anywhere. Get in touch.

Education

Queen’s University

B.Sc. (Eng.) with Honours, Electrical Engineering with Professional Internship

2014 – 2019

Certifications

  • Microsoft Certified: AI Fundamentals

    Microsoft · 2022

  • Microsoft Certified: Azure Data Scientist Associate

    Microsoft · 2020

  • Microsoft Certified: Azure Fundamentals

    Microsoft · 2019

Publication

Technologies to Improve Plant Performance: An Industry-Wide Review (CEATI, opens in a new tab)

CEATI International · March 2021

GitHub activity

1,122 contributions in the last year.

View GitHub profile (opens in a new tab)
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GitHub contributions · refreshed hourly.

Contact

Have a difficult customer problem or a system that needs to move from idea to production? Let’s talk.

Email me about a Forward Deployed Engineer or Solutions Engineer role, or a custom development project. I’m happy to discuss the problem and what needs to be delivered.