Niteesh
Kanungo
I build clinical data platforms, ML systems, and cloud infrastructure. Currently focused on genomics pipelines and reliable data operations.
Niteesh Kanungo
Lead Platform Engineer · Tempus Labs
Chicago, IL · Open to remote
10+
Years experience
10TB+
Daily data operated
5
Publications
Data Platforms
Pipelines processing 10TB+ daily
Applied ML
Vision and NLP in production
Cloud Infrastructure
AWS / Azure with Terraform
Expertise
Data platforms, ML systems, and cloud infrastructure.
Data Engineering & Pipelines
Designing and operating distributed data platforms processing 10TB+ daily, with an emphasis on reliability and data quality.
AI & Machine Learning
Building and operating CNN and NLP models on AWS SageMaker for image moderation and review analytics.
Cloud Infrastructure
Designing resilient AWS and Azure infrastructure with Terraform, Kubernetes, and serverless services.
Full-Stack Development
Building maintainable web applications with Next.js, React, and Node.js for data visualization and internal tooling.
IoT & Edge Computing
Integrating edge gateway hardware (Raspberry Pi/NVIDIA Jetson) with GPS tracking and sensor telemetry.
Big Data Analytics
Analyzing large-scale clinical and transactional datasets with PySpark, Databricks, and Presto.
Showcase
Selected systems work.
COMPUTER VISION AT SCALE
Automated Content Moderation
Built a computer vision pipeline for Bazaarvoice that automated review-image verification. Reduced manual review effort with an estimated $100k in annualized savings at 82%+ classification accuracy using AWS SageMaker.
HARDWARE-TO-CLOUD PIPELINES
IoT Fleet Telemetry
Built a hardware-to-cloud telemetry system for heavy assets. Integrated GPS sensors and edge gateway logs (Raspberry Pi/NVIDIA) with geo-fencing diagnostics feeding AWS data lakes.
Insights & Discovery
Beyond the enterprise—exploring paradigms through photography, writing, and local AI sandboxes.
Experience
Ten years across clinical genomics, IoT, and data infrastructure.
Lead Platform Engineer
- Architecting multi-cloud genomic and clinical data platforms for precision oncology medicine.
- Optimizing massive ETL pipelines scaling to petabytes of healthcare records and sequencing readouts.
- Collaborating with clinical AI research units to deploy deep learning models seamlessly into live diagnostic streams.
Senior Data Engineer
- Built foundational data lake architecture on AWS and GCP processing 10TB/day of clinical and sequencing data.
- Pioneered PHI de-identification pipelines using AWS Batch and GKE, enabling compliant downstream analytics.
- Productionized Airflow + DBT workflows powering biomarker discovery and clinical reporting dashboards.
Data Engineer II
- Consolidated 44 siloed fleet GPS telemetry tracking engines into a single unified high-efficiency pipeline.
- Processed over 10TB+ daily industrial logs for global predictive logistics and preventative mechanical maintenance.
- Significantly improved pipeline data availability through automated self-healing and alert configurations.
Data Scientist
- Developed CNN models using AWS SageMaker for automatic moderation of user review media (82%+ classification accuracy).
- Saved $92k-$100k annually by replacing manual verification queues with automated deep learning workflows.
- Developed insight extraction and named-entity sentiment scripts using Python NLTK and Flask APIs.
Data Analyst
- Analyzed operational power turbine logs for the Abbott facility using SQL and Python regression trees.
- Delivered data-driven dashboards reducing downtime by 12% through targeted preventative maintenance strategies.
- Presented monthly analytical telemetry audits to facility engineering leadership.
Education
Graduate training in data science and the life sciences.
UIUC
Masters (M.S.) – Information Management/Data Science
Dec 2018
JNU Delhi
Graduate Research Fellow – Structural Biology
2014
VIT University
Masters (M.S.) – Bioinformatics and Biotechnology
Aug 2014
Christian Eminent College, Indore
Post Graduate Diploma in Computer Application (PGDCA)
Jul 2012
Institute of Professional Studies, Indore
Bachelors (B.S.) – Computer Science and Biotechnology
Aug 2011
Selected Work
Representative projects across data platforms and applied ML.
Automated Rating System
Developed a distributed system using Python and PostgreSQL for real-time rating aggregation, scaling, and heavy telemetry analysis.
Research & Publications
Selected publications in computational biology.
Profiles
Professional and research profiles.