Ronit Shaw

Experienced software developer and data scientist crafting scalable products across the software industry.

Experienced software developer and data scientist with a proven record delivering high-impact solutions across the software industry. I specialize in building production-grade platforms that fuse large language models, deep learning, and thoughtful product design.

Skilled in software development and architecture, DevOps, Kubernetes operations, machine learning, data science, statistics, Python, Golang, and natural language processing/understanding—always with an eye toward scalable engineering excellence.

Lead architect for the Model Hosting Framework (MHF), powering 25+ production ML microservices on AKS with 99% availability
Patent co-inventor for a Retrieval-Augmented Generation system enabling context-rich copilots across Azure
Designed multi-agent Azure OpenAI platform processing 30K+ support tickets per day for summarization and RCA
Delivered 500+ security remediations through Secure Future Initiative, steering Azure Core toward a secretless architecture
Selected as a global hackathon judge to identify the top 0.7% AI solutions across 1,100+ submissions

Senior Software Engineer

Microsoft

Azure Core Compute · Customer Insights & Analytics

Jan 2021 – Present New York City Metropolitan Area

Leading the Model Hosting Framework (MHF) program delivering a secure, compliant self-service platform for ML services across Azure Core—now powering 25+ SLA-backed microservices with zero-downtime releases.
Driving Secure Future Initiative (SFI) remediations for Azure Core Insights, orchestrating org-wide security and compliance upgrades.
Patent contributor for a Retrieval-Augmented Generation platform blending vector stores, identity enrichment, and agentic code generation to deliver real-time, context-rich answers and executable workflows.
Built the DERA framework for Azure support ticket summarization and RCA using Azure OpenAI; deployed 30+ AKS-isolated OpenAI instances to overcome throttling and scale analytics.
Enhanced Wayfinder support recommendations with +3 coverage, +1 accuracy, and 60% latency reduction while modernizing CI/CD for Wayfinder and Service Predictor (12% maintenance cost savings).
Shipped Azure Case Submission Autosuggest, Azure Workload Identification (clustering + BERT topic modeling), and an IcM Team Prediction service powered by Azure Cognitive Search running on AKS.

Software Development
Machine Learning
Microsoft Azure
Kubernetes
Azure OpenAI
LLMs
Microservices
Python
C++
Data Engineering
DevOps
NLP

Cognitive Software Developer / Data Scientist

IBM

Jun 2018 – Jan 2021 San Francisco Bay Area, CA

Developed ML and DL pipelines to classify high-dimensional network transfer sessions using semi-supervised learning and ensemble models.
Implemented real-time anomaly detection with LSTM and autoencoder architectures to protect mission-critical data flows.
Served as backend lead for IBM Aspera Automation, designing software components and API integrations for large enterprise clients.
Delivered the Aspera Centralized Control Plane aligned with IBM Cloud Pak for Integration, creating open service brokers and microservices.
Partnered with customers and product teams to triage issues, iterate on features, and drive successful production deployments.

IBM Cloud
Microservices
Python
Kubernetes
Machine Learning
Deep Learning
Software Architecture

Graduate Teaching Assistant

University of California San Diego

Mar 2017 – Mar 2018 La Jolla, CA

Graduate Teaching Assistant for PSYC 60 (Intro to Statistics), CSE 103 (Probability & Statistics), and ECE 109 (Engineering Probability & Statistics).
Led discussion sections, office hours, and exam reviews to boost mastery across 200+ students per term.
Collaborated with faculty on assignment design, grading rubrics, and course improvements.

Python
Statistics
Teaching

Machine Learning / Deep Learning Intern, Global Chief Data Office

IBM

Jun 2017 – Sep 2017 San Francisco Bay Area, CA

Classified Government Owned Entities using IBM's Cognitive Enterprise Data Platform to improve regulatory reporting accuracy.
Built NLP pipelines in Python with Gensim, spaCy, and NLTK alongside Gradient Boosting and Random Forest models.
Developed TensorFlow CNN architectures with Doc2Vec/Word2Vec embeddings, achieving 97% predictive accuracy and strong F1 scores.
Delivered insight-ready dashboards and technical documentation for the Global Chief Data Office.

Machine Learning
Python
Software Development
Artificial Intelligence

Student Ambassador, Globalink Program

Mitacs

Jan 2016 – Sep 2016 Canada (Remote)

Represented Mitacs Globalink across campus events and webinars, mentoring prospective research scholars
Guided international students through application planning, documentation, and program onboarding
Partnered with universities and research labs to expand awareness of funded research opportunities

Mentorship
Public Speaking
Program Management

Summer Research Intern (Mitacs Globalink)

University of Alberta

May 2015 – Jul 2015 Greater Edmonton Metropolitan Area, Canada

Implemented and tested a sensor device that measures ankle torque during functional electrical stimulation therapy
Built a LabVIEW data acquisition pipeline and MATLAB analytics workflow to quantify response latency for spinal cord injury patients
Collaborated with clinicians to translate measurement insights into improved rehabilitation protocols

LabVIEW
MATLAB
Signal Processing

Summer Research Intern

Indian Institute of Science

May 2014 – Jul 2014 Bengaluru, Karnataka, India

Completed the "Analysis of Exoskeleton Assisted Walking" project using motion-capture data from IMU sensors
Developed simulation workflows comparing gait with and without exoskeleton support to identify mobility gains
Partnered with biomechanics researchers to translate simulation results into exoskeleton design recommendations

Biomechanics
Simulation
Data Analysis

Judge, Global Hackathon – AI Foundry Challenge

2025

Reviewed AI Agent submissions from 1,100+ global entries, scoring innovation, feasibility, and impact to surface the top 0.7% of solutions.

Judge, NYU SPS DPB × Microsoft AI Accelerator Challenge

2025

Evaluated student-led AI startups alongside NYU and Microsoft leaders, selecting winners across innovation, impact, and presentation categories.

Judge, Code4Hope STEM Hackathon (Sustainability Track)

2025

Reviewed hybrid presentations at Microsoft Times Square, scoring sustainability solutions across innovation, feasibility, and technical execution.

2016 – 2018 La Jolla, CA

2012 – 2016 Guwahati, India

Explore verified certifications and skill endorsements on LinkedIn.

Programming Languages

Python
C++
Golang
Ruby
SQL
Bash

AI / ML & NLP

Azure OpenAI
TensorFlow
Keras
Scikit-learn
BERT
LSTM
CNNs
Autoencoders
Retrieval-Augmented Generation
Agentic Workflows

Cloud & DevOps

Azure Kubernetes Service
Azure Cognitive Search
Azure DevOps
Docker
Kubernetes
Terraform
CI/CD

Data & Orchestration

LangChain
Pandas
NumPy
spaCy
NLTK
Gensim
MCP

Python: Design Patterns (2021)
Python: Advanced Design Patterns (2018)
Finance Foundations
Cryptocurrency Foundations
Learning Bitcoin and Other Cryptocurrencies
Building an Ethereum Blockchain App: Introduction Series

Browse verified badges on LinkedIn

Mitacs Globalink Research Internship Award
Gold Medalist – National Biotechnology Olympiad
Phyllis Pearson Award – High Achievement

I regularly support communities through volunteering, mentoring, and speaking—drop a note if you'd like to collaborate.

Connect on LinkedIn ronitshaw1993@gmail.com

Executive summary

Signature accomplishments

Career journey

Senior Software Engineer

Cognitive Software Developer / Data Scientist

Graduate Teaching Assistant

Machine Learning / Deep Learning Intern, Global Chief Data Office

Student Ambassador, Globalink Program

Summer Research Intern (Mitacs Globalink)

Summer Research Intern

Judging & evaluation

Judge, Global Hackathon – AI Foundry Challenge

Judge, NYU SPS DPB × Microsoft AI Accelerator Challenge

Judge, Code4Hope STEM Hackathon (Sustainability Track)

Education

University of California, San Diego

Indian Institute of Technology, Guwahati

Technical toolkit

Programming Languages

AI / ML & NLP

Cloud & DevOps

Data & Orchestration

Certifications

Honors & awards

Let’s collaborate