I started with fundamental science, evolved into scalable data architecture, and now engineer production AI.
As the tech landscape shifted, I moved toward where the most impactful data challenges were: scalable pipelines, applied ML, clinical genomics, and now agentic AI. My value is at this intersection: deep scientific foundations alongside a modern AI engineering toolkit.
The Journey
I began in first-principles science.
The Core Math & Biophysics Foundations
Deep mathematical modeling, molecular dynamics, stochastic systems, and statistical mechanics applied to complex biological architectures.
The Core Math & Biophysics Foundations
The Core Math & Biophysics Foundations
Deep mathematical modeling, molecular dynamics, stochastic systems, and statistical mechanics applied to complex biological architectures.
The Biotech & Therapeutics Scale
The Biotech & Therapeutics Scale
Production ML frameworks, structural scoring pipelines, and enterprise oncology campaigns with Merck & Co., AstraZeneca, and Cancer Research UK.
The Biotech & Therapeutics Scale
Production ML frameworks, structural scoring pipelines, and enterprise oncology campaigns with Merck & Co., AstraZeneca, and Cancer Research UK.
The TechBio Startup Scale
Managed production machine learning codebases in Python for molecular feature scoring and structural design campaigns in collaboration with AstraZeneca and Cancer Research UK.
The TechBio Startup Scale
The TechBio Startup Scale
Managed production machine learning codebases in Python for molecular feature scoring and structural design campaigns in collaboration with AstraZeneca and Cancer Research UK.
The Multi-Omics Data Infrastructure
The Multi-Omics Data Infrastructure
Scalable, reproducible Snakemake/Nextflow HPC pipelines for large-scale multi-cohort clinical genomics and proteomics data. SHAP-driven ML biomarker discovery.
The Multi-Omics Data Infrastructure
Scalable, reproducible Snakemake/Nextflow HPC pipelines for large-scale multi-cohort clinical genomics and proteomics data. SHAP-driven ML biomarker discovery.
The Production AI Era
Operationalizing Generative AI: LangGraph agentic networks, RAG pipeline deployment, LLM validation, and full-stack AI application engineering.
The Production AI Era
The Production AI Era
Operationalizing Generative AI: LangGraph agentic networks, RAG pipeline deployment, LLM validation, and full-stack AI application engineering.
What I've Built
Architectures in production.
Designed, containerized, and deployed an autonomous parenting assistant backend using FastAPI and LangGraph agentic architectures. Implemented a production RAG pipeline over curated corpora using ChromaDB vector spaces with streaming SSE responses.
Took first place in the UofT DSI CrossTALK bootcamp ML competition: engineered optimized gradient-boosted workflows for bioactive hit retrieval from chemical screening datasets.
Integrated AlphaMissense pathogenicity predictions with cBioPortal cancer variant data and ESM protein language model embeddings to prioritize functionally impactful cancer variants, bridging structural AI and clinical genomics.
End-to-end ML classification on complex mixed-type public records, predicting crime categories by location, time, and premises type with categorical encoding and class balancing.
Reproducible HPC pipeline for germline transposable element detection from whole-genome sequencing data, integrating three complementary callers (xTea, MELT, InSurVeyor) in Singularity containers with SLURM batch scheduling.
Vetting & Recognition
Externally validated.
The Data Incubator Fellowship
USA
Competitive quantitative fellowship for transitioning top-tier PhDs into enterprise data science. Acceptance rate under 3%.
View Badge on CredlyDeploying AI Models
University of Toronto, Data Sciences Institute · 2026
Production LLM deployment, LangGraph agentic graph architectures, containerized RAG pipelines.
View CertificateMerck Innovation Cup Winner
Merck KGaA, Darmstadt, Germany · 2018
Selected from 2,000+ global applicants to engineer an ML-driven biomedical innovation framework at Merck headquarters.
View LinkedIn PostCore Toolkit