Indrani G

At Index Exchange, I lead Data, MLOps, and Billing platforms supporting 2T+ daily events, 600B+ auctions, and $1B+ financial throughput. I am driving the transition from batch to domain-oriented, event-driven architectures, building a foundation of Data Mesh and streaming APIs to enable scalable, governed data products.

My work focuses on evolving this foundation into real-time data and decision

Sidebar is a private community of senior leaders, providing members with a vetted network and the leadership insights needed to drive impact in today’s rapidly changing business environment.

Reporting to CTO, responsible for Data and AI Engineering - Relationship Intelligence, NLP, LLMs ( RAG , Agents) , AWS, Microservices, Spark ( DBX) , Kafka, k8s, VectorDBs, MCP

- Lead Engineering efforts
- Develop GenAI applications including our QandA Conversation AI service Deal Assist:
https://support.affinity.co/s/article/How-to-set-up-your-account-for-Deal-Assist
- develop features around

At Loblaw Digital, I built and scaled the Data & ML platform/MLOps foundation — shaping the roadmap for Data Engineering, ML Engineering, Digital Analytics, and Experimentation. This included migrating from monoliths to microservices to support low-latency data use cases, implementing data contracts and ingestion from POS and fulfillment systems, deploying recommendation/personalization platforms

Data engineering, applied Ml engineering, MLOps and deep learning courses.

Taught Fintech program covering all aspects in Fintech including ML, modeling ( Python, scikit learn, tensorflow), Blockchain smart contracts ( Solidity) covering Fungible and NonFungible tokens.

Primary responsibilities and work include implementation of transformational projects in Fraud Fusion area with focus on Automated solutions, Data and Analytics ( Data Engineering and Deployments of data/model pipelines), Application development, Infrastructure, Micro services.

* Use cases involved * : Internal threat detection , Fusion centres case management, Elder fraud prevention, Mule fr

Course creator and instructor for the University of Waterloo Data science and ML certificate course.

Taught courses : Big Data Management, Data Science fundamentals, Machine Learning

Created course content and Taught a wide spectrum of courses : Big Data Management, Data Science fundamentals, Machine Learning, Deep Learning , Artificial Intelligence.

This was delivered for two certificates for University of Toronto's School of continuing Studies for their Data science and AI certificate programs.

Data Science | Cloud Engineering | Data Engineering



Usecases: Stress testing (cmrm), Client experience, Treasury analytics, Credit risk, Payments and Fraud, Institutional trading and recommendations.

My work involves data engineering, building AI/ML models and delivery on cloud platforms like GCP and Azure.

Lead for AI/ML cloud platforms where we can deploy models and AI solutions at sca

Big data lead for Bell media/mobility related usecases

Usecases - Ad measures and audience reach, IPTV analytics, Ad effectiveness, Targeting and offers.

Stack : Hadoop, Spark, Spark MLlib, Hbase, Hive

Work on Analytics application software for Telecom services across US.

Worked for the NLU( Natural Language Understanding) Data team at Nuance.
Use cases - analyze logs for a number of Digital mobile assistants on quality of conversational AI. ( Speech to text)

Researched on the evolution of suitable data models for multi tenant databases for SaaS and working on a generalized algorithm for rewriting such queries from the tenant database schema to the cloud database schema.

I have also researched on the Schema mapping techniques for data management in a Cloud Computing Architecture, Evaluation of TPC bench mark. I also have some knowledge in OLAP. I d

-Partial Tution Scholarship, Concordia University
-International student tuition fee remission award, Concordia University
-Nominated for Member of Golden Key International Honour Society

-Courses Taken:
Advanced Databases
Artificial Intelligence
Semantic Computing
Advanced Programming Practices
Design and Analysis of Algorithms

Database query compiler and optimization team
-Working on query rewrites in the Query graph model of DB2 compiler using heuristic based optimization techniques

Nexalogy is a social media analysis company that helps its clients make better decisions through information extraction and analysis.
--During this course, I worked on a lemmatizer for both french and english and the lemmatized words were used as an input to identify "top words" from the various text sources.
--I also wrote scripts to cluster words based on statistical and clustering algorithms

Scientometric study of journal access: The objective of this study was to collate on-line access details, quantify the total access to journal sites per day, analyze the access URL’s and identify the patterns, archive and indexing scheme at the journal site. Created an online monitoring tool showing statistical data of access and their trends.

Developed an Employee Software Management tool in C#, ASP.net and SQL Server 2000.

-Partial tuition fee waiver
-International Student tuition fee remission award.
-Golden Key International Honour Society

Nov 2015 · Expired Jan 2016

Dec 2021

Feb 2021

Jun 2025