CV
General Information
| Name | Arshdeep Singh Bamrah |
| Location | Toronto, ON |
| arsh.bamrah27@gmail.com | |
| https://www.linkedin.com/in/arshdeep-s-0a432685/ | |
| GitHub | https://github.com/abamrah |
| Languages | English, Punjabi, Hindi |
Core Skills
-
Generative AI & Agentic Systems
- LLMs (GPT, BERT, Transformers)
- Agentic AI frameworks, orchestration, prompt design
- RAG, embeddings, semantic search
- Text summarization, classification, conversational AI
- Text-to-Speech (TTS) and Speech-to-Text (STT)
-
Machine Learning & Data Science
- Time-series modeling, anomaly detection, forecasting
- Feature engineering, supervised & unsupervised learning
-
Cloud, Data & MLOps
- Azure Machine Learning, AWS SageMaker
- Docker, Kubernetes, CI/CD pipelines
- Python, SQL, Pandas, NumPy, PySpark
- Snowflake, Databricks
Education
- 2022
Master of Engineering (M.Eng), Machine Learning
University of Toronto
- Focused on Neural Networks, Reinforcement Learning, and Deep Learning.
- 2016
Bachelor of Engineering (B.Eng), Mechanical Engineering
Toronto Metropolitan University
- Queen Elizabeth Scholarship for high academic achievements.
Experience
- Aug 2025 - Present
Data Scientist (Commercial GenAI)
Sanofi
- Defined agentic AI standards covering orchestration, multi-step reasoning, and RAG feedback loops.
- Designed GenAI products integrating LLMs, RAG pipelines, and TTS for enterprise decision support.
- Delivered an audio insight platform with LLM-generated scripts and multi-voice TTS.
- Established grounding, data quality, and validation controls for reliable AI outputs.
- Aug 2024 - Aug 2025
Reliability AI / Predictive Maintenance Engineer
Sanofi
- Led vendor collaboration to deploy time-series anomaly detection for critical assets.
- Built Snowflake feature pipelines with IIoT, alarms, and SAP PM for downtime risk scoring.
- Developed a BERT-based NLP pipeline to extract FMEA entities from maintenance logs.
- Delivered reliability dashboards and weekly insights for leadership.
- May 2021 - Aug 2024
Reliability Data Scientist
Apotex
- Built Azure ML pipelines for ingestion, feature engineering, and controlled deployments.
- Created a transformer-based semantic search engine using GPT/BERT embeddings.
- Deployed XGBoost anomaly detection with real-time process deviation alerts.
- Implemented Docker and CI/CD retraining pipelines for production ML.
- 2017 - 2020
Project Engineer
Carmeuse - STT
- Led mechanical layout and infrastructure designs for bulk chemical plants.
Technical Projects
- 2024 - Present
Landlord-Bot
- Agentic landlord console for tenant maintenance triage, reply drafting, advisor chat, and safeguards. Node.js, Express, TypeScript, Prisma, Postgres, and Vertex AI (Gemini).
- 2022
Chatbot Stock Portfolio Optimization
- IBM Watson chatbot that optimizes portfolios using Minimum Variance, Monte Carlo simulation, and Sharpe ratio optimization.
- 2021 - 2022
Image Captioning and Generation
- Transformer-based image captioning with GAN-based image generation using PyTorch.