I am Kiruthika Subramani, an AI engineer and data scientist dedicated to bridging the gap between cutting-edge research and reliable, production-ready systems. My work focuses on the architecture of agentic AI, specifically optimizing tool use and building rigorous evaluation frameworks for LLMs and RAG pipelines. Whether I’m researching agent reliability at Mila or deploying contract analytics agents at Bell, my goal is always to move the needle toward AI that is as ethical as it is scalable. My experience spans the enterprise scale of AWS and Bell to the specialized compliance challenges at Certkor.ai. I find deep fulfillment in training others, whether that involves teaching government employees the nuances of Responsible AI or designing curricula that empower the next generation of engineers to build trustworthy technology. I believe that for AI to truly transform industries like defense or telecommunications, it must be built on a foundation of transparency, adversarial robustness, and technical excellence.

Kiruthika Subramani

I am Kiruthika Subramani, an AI engineer and data scientist dedicated to bridging the gap between cutting-edge research and reliable, production-ready systems. My work focuses on the architecture of agentic AI, specifically optimizing tool use and building rigorous evaluation frameworks for LLMs and RAG pipelines. Whether I’m researching agent reliability at Mila or deploying contract analytics agents at Bell, my goal is always to move the needle toward AI that is as ethical as it is scalable. My experience spans the enterprise scale of AWS and Bell to the specialized compliance challenges at Certkor.ai. I find deep fulfillment in training others, whether that involves teaching government employees the nuances of Responsible AI or designing curricula that empower the next generation of engineers to build trustworthy technology. I believe that for AI to truly transform industries like defense or telecommunications, it must be built on a foundation of transparency, adversarial robustness, and technical excellence.

Available to hire

I am Kiruthika Subramani, an AI engineer and data scientist dedicated to bridging the gap between cutting-edge research and reliable, production-ready systems. My work focuses on the architecture of agentic AI, specifically optimizing tool use and building rigorous evaluation frameworks for LLMs and RAG pipelines. Whether I’m researching agent reliability at Mila or deploying contract analytics agents at Bell, my goal is always to move the needle toward AI that is as ethical as it is scalable.

My experience spans the enterprise scale of AWS and Bell to the specialized compliance challenges at Certkor.ai. I find deep fulfillment in training others, whether that involves teaching government employees the nuances of Responsible AI or designing curricula that empower the next generation of engineers to build trustworthy technology. I believe that for AI to truly transform industries like defense or telecommunications, it must be built on a foundation of transparency, adversarial robustness, and technical excellence.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
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Language

English
Fluent
French
Intermediate

Work Experience

Data Scientist Co-op at Bell
February 1, 2026 - August 26, 2025
Built and optimized a GCP-deployed GraphRAG pipeline for contract analysis, focusing on preprocessing, model analytics, and scalable deployment to enhance legal insight extraction.
Cloud Consultant Intern [AI /ML] at Amazon Web Services
August 1, 2025 - August 26, 2025
Developed a secure geospatial data enrichment pipeline using 15 AWS services including Bedrock and SageMaker for data preparation and enrichment across 82K+ records with real-time updates every 5 seconds. Reduced API latency by 65%, created reusable serverless components, and integrated multiple data sources.
Generative AI Engineer Intern at Certkor.ai
April 1, 2025 - August 26, 2025
Developed a MOA-based multi-agent AI framework for Responsible AI compliance, improving regulatory assessment speed by 11.8%, reducing manual model adjustments by 13.2%, and enhancing cross-border risk detection by 9.5%.
Mitacs Globalink Research Intern at ETS
September 1, 2023 - August 26, 2025
Led a YOLOv8-based object detection project achieving 94.8% accuracy and reduced annotation time by 35%. Explored MAPPO and behavioral cloning for training multi-agent systems, improving convergence by 21%.
AI Program Strategist (Part-Time) at Musitechnic Formation
December 1, 2024 - August 26, 2025
Led AI program launch by coordinating academic and technical teams, reducing inefficiencies by 18%, and ensuring timely, goal-aligned delivery.
Data Scientist Intern at Bell
August 1, 2025 - Present
Implemented Tool Calling agent and ReAct agent using RAG Tool to extract and analyze 15K legal contracts with sub-10s P95 latency; reduced manual legal review by 40%. Deployed system to Dev and UAT environments. Exploring GraphRAG to understand contract relationships, vendor networks, and compliance patterns.
Cloud Consultant Intern [AI/ML] at Amazon Web Services
May 1, 2025 - July 1, 2025
Architected AI-powered travel platform orchestrating 5 specialized Bedrock Agents (weather/clothing, TSA compliance via CV, destination intelligence, FX, geospatial viz); enriched 82K geospatial records with 5s P95 latency. Implemented serverless event-driven architecture reducing API response time by 65% and improving itinerary accuracy by 30%. Delivered 8 reusable components cutting infrastructure costs by 30%.
Mitacs Globalink Research Intern at École de Technologie Supérieure (ETS)
June 1, 2023 - September 1, 2023
PyTorch, YOLOv8, Computer Vision, MAPPO, Reinforcement Learning, Imitation Learning, MLOps. Led YOLOv8 object detection deployment for CHUM Hospital construction safety achieving 94.8% accuracy; implemented MAPPO multi-agent RL with behavioral cloning improving convergence speed by 21%.
Machine Learning Engineer Intern at Cloudside
August 1, 2022 - May 1, 2023
NLP, TensorFlow, Scikit-learn, GCP, Kubernetes, Docker, Data Engineering, Model Deployment. Remote Enhanced demand forecasting accuracy by 30% and cut inventory costs by 25%. Optimized NLP models, reducing response times by 45% and boosting customer satisfaction by 35%. Deployed on GCP and Kubernetes, improving chatbot response time by 50%.
Founding Engineer and AI Strategist at StepUp (EdTech Startup)
May 1, 2019 - July 1, 2022
Architected and developed a scalable learning management platform using JavaScript, TypeScript, and NoSQL databases, serving 700+ users across 19 institutional partnerships.
Cloud Consultant Intern [AI/ML] at Amazon Web Services (AWS)
May 1, 2025 - July 1, 2025
Architected an AI-powered travel platform orchestrating 5 specialized Bedrock Agents (weather/clothing, TSA compliance via CV, destination intelligence, FX, geospatial viz); enriched 82K geospatial records with 5s P95 latency. Implemented serverless event-driven architecture reducing API response time by 65% and improving itinerary accuracy by 30%. Delivered 8 reusable components cutting infrastructure costs by 30%. Awarded AUTA Intern Spotlight.

Education

Master’s in Computer Science at University of Montreal (MILA)
August 1, 2024 - March 1, 2026
B. Tech in Artificial Intelligence and Data Science at M. Kumarasamy College of Engineering
April 1, 2020 - May 1, 2024
Master of Science in Computer Science at University of Montreal (Mila Quebec AI Institute)
August 1, 2024 - February 1, 2026
Bachelor of Technology in Artificial Intelligence and Data Science at M. Kumarasamy College of Engineering
April 1, 2020 - May 1, 2024
Master of Science in Computer Science at University of Montreal (Mila Quebec AI Institute)
August 1, 2024 - February 1, 2026
Bachelor of Technology in Artificial Intelligence and Data Science at M. Kumarasamy College of Engineering
April 1, 2020 - May 1, 2024

Qualifications

AWS Certified Machine Learning – Specialty
January 11, 2030 - August 26, 2025
AWS Certified Solutions Architect – Associate
January 11, 2030 - August 26, 2025
Google Cloud Certified – Associate Cloud Engineer
January 11, 2030 - August 26, 2025
Google Cloud Certified – Professional Machine Learning Engineer
January 11, 2030 - August 26, 2025
Certified Associate in Project Management (CAPM) — PMI
January 11, 2030 - August 26, 2025
AWS Certified Machine Learning – Specialty
January 11, 2030 - January 5, 2026
AWS Certified Solutions Architect – Associate
January 11, 2030 - January 5, 2026
Google Cloud Certified – Associate Cloud Engineer
January 11, 2030 - January 5, 2026
Google Cloud Certified – Professional Machine Learning Engineer
January 11, 2030 - January 5, 2026
Certified Associate in Project Management (CAPM) — PMI
January 11, 2030 - January 5, 2026
AWS Certified Machine Learning – Specialty
January 11, 2030 - January 26, 2026
AWS Certified Solutions Architect – Associate
January 11, 2030 - January 26, 2026
Google Cloud Certified – Associate Cloud Engineer
January 11, 2030 - January 26, 2026
Google Cloud Certified – Professional Machine Learning Engineer
January 11, 2030 - January 26, 2026
Certified Associate in Project Management (CAPM) — PMI
January 11, 2030 - January 26, 2026

Industry Experience

Software & Internet, Healthcare, Financial Services, Education, Professional Services, Government, Computers & Electronics