Open to opportunities

Koushik S

@koushiks

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Applied Data Scientist focused on MLOps, NLP, and production ML.

Canada

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What I'm looking for

I seek hands-on roles building production ML/NLP systems with strong MLOps practices, cross-functional collaboration, and opportunities to deploy robust, explainable AI at scale.

I am an Applied Data Scientist with a Master’s in Applied Data Science and 3+ years of hands-on experience building and deploying machine learning systems, specializing in MLOps, NLP, RAG, and production model lifecycle management. I have led development of agentic AI assistants, designed evaluation frameworks for LLMs, and delivered high-impact models across computer vision, audio, and NLP domains.

I partner closely with cross-functional teams and non-technical stakeholders to translate business needs into scalable ML solutions, emphasizing robustness, explainability, and repeatable deployment pipelines. My work includes published research in medical imaging and efficient model optimization, plus practical experience with cloud, orchestration, and model monitoring tools that drive measurable results in production.

Experience

Work history, roles, and key accomplishments

Co-op Data Scientist

Insurance Corporation of British Columbia

Sep 2024 - Aug 2025 (11 months)

Led development and deployment of an in-house agentic AI assistant using RAG, LangChain, Milvus and MCP on AKS, reducing knowledge retrieval time ~60% for 100+ daily users and improved LLM evaluation and robustness in production. Built a CatBoost risk-prioritization model with k-fold CV, calibration and SHAP explanations for case-level insights.

Lang Chain Milvus Azure Kubernetes Service CatBoost Model Evaluation SHAP

Research Engine Developer

Justice Data and Design Lab

May 2024 - Feb 2025 (9 months)

Collaborated on ML and data analysis to enhance access to justice; doubled performance and efficiency of a research engine chatbot using RAG and performed large-scale legal text analysis with topic modeling and Power BI visualizations.

Topic modeling NLP Power BI Data Analysis Model Evaluation Research Collaboration

Founding Machine Learning Engineer

SeiSei.ai

Apr 2023 - Jul 2023 (3 months)

Fine-tuned FreeVC voice conversion models achieving ~15% performance improvement on Hindi audio, architected automated audio pipelines processing 5000+ hours of content, and led intern team deployments using Truefoundry to meet key performance targets.

Model Fine Tuning Audio Pipelines Team Leadership Docker Feature Extraction

Computer Vision Intern

Drive Analytics

Sep 2021 - Feb 2022 (5 months)

Engineered an MLB video analytics system deployed on AWS with Celery, RabbitMQ and Django; led image-to-3D rendering efforts and comparative evaluations of object detection models, contributing to a 10% profit increase.

Computer Vision AWS Celery RabbitMQ Django Object Detection 3D Rendering Model Evaluation

Deep Learning Intern

MURF.ai

Dec 2020 - Jun 2021 (6 months)

Developed and deployed a FastSpeech-2 based voice cloning application and built end-to-end audio processing pipelines using STFT and mel-spectrograms, and fine-tuned STT models with Azure Speech Studio for improved transcription accuracy.

FastSpeech 2 Audio Processing Mel Spectrograms

Education

Degrees, certifications, and relevant coursework

University of Victoria

Master of Engineering, Applied Data Science

2023 - 2025

Master of Engineering in Applied Data Science with coursework in Optimization for Machine Learning, Music Information Retrieval, and Data Privacy.

Anna University

Bachelor of Engineering, Computer Science and Engineering

2019 - 2023

Bachelor of Engineering in Computer Science and Engineering with coursework in Artificial Intelligence, Cloud Computing, Data Structures, and Data Mining.