Owais Multani
Toronto, CA
owais.multani97@gmail.com
+1 (647) 377-1786

Expert in AI-driven solutions, cloud-native architectures, and integrating LLMs for advanced automation and data analysis. Proficient in leading cross-functional teams, optimizing productivity, and delivering scalable and secure software solutions.

Education


Lambton College
September 2023
 — 
April 2025
Postgraduate in Full Stack Software Development
  • React, Node.js, Express
  • SQL/NoSQL database design
MIT Manipal
August 2015
 — 
June 2019
BTech in Automobile Engineering

Experience


Senior Software Engineer
September 2023
 — 
September 2024

Led the development of AI/ML-driven products to enhance business performance and decision-making.

  • Developed Quantive StrategyAI and Signals for real-time insights using LLMs and RAG.
  • Optimized clustering models for tools like JIRA and Asana.
  • Automated ML workflows for improved strategic planning.
Senior Software Engineer
June 2022
 — 
September 2023

Led development of core products and migrated platforms for better scalability.

  • Designed cloud-agnostic platforms (AWS to Azure).
  • Improved initiative identification with AI-powered solutions.
  • Introduced agile processes for team efficiency.
Software Engineer
June 2020
 — 
June 2022

Focused on automation and scalability of data processing systems.

  • Automated ETL processes for billions of rows of data.
  • Reduced deployment time by 30% with optimized CI/CD pipelines.
  • Enhanced performance with scalable Python microservices.
Machine Learning Engineer (R&D)
October 2019
 — 
June 2020

Developed predictive maintenance models for automotive systems.

  • Achieved 90%+ accuracy in RUL prediction models.
  • Reduced failure rates by 15% through predictive analysis.
  • Improved operational efficiency with deployed ML models.

Projects


Text2Code
Present
 — 
Present

An AI tool converting text into code in multiple programming languages.

  • Developed using OpenAI APIs.
Single Click Portfolio
Present
 — 
Present

A portfolio app with easy deployment features.

  • Built using Next.js and Tailwind, deployed on Vercel.

Awards


Best Innovation Award
January 2020
Varroc Engineering

Awarded for developing a smart helmet innovation.

Diamond Jubilee Award
January 2019
MIT Manipal

Topped all semesters at MIT Manipal.

Languages


English:
Native speaker

Skills


Programming:
Python, Go, Java, JavaScript, C#
Cloud Platforms:
AWS, Azure, Linode, GCP
DevOps:
CI/CD, Docker, Kubernetes, Jenkins, Airflow

Interests


AI/ML:
RAG, Clustering, LLMs