I build enterprise AI platforms from concept to production.
I'm Sai Srujan Simhadri — an AI Solutions Architect and Enterprise AI Engineer. My path runs from data platform engineering and predictive ML through analytics leadership to architecting multi-tenant AI products. I care about the whole system: the data pipelines, the models, the APIs, the security, and the product people actually use.
From developer to enterprise AI architect.
I started where most engineers do shipping features. But I kept being drawn to the harder questions behind them: How does this scale to a thousand tenants? How do we keep every customer's data provably isolated? How do we make an AI system that a recruiter, a CTO, and an auditor all trust?
Over time I moved from writing features to owning architecture designing multi-tenant SaaS platforms, document AI pipelines, and cloud-native systems on Azure. Today I work as an AI Solutions Architect, building AI-powered enterprise software end-to-end: the data, the models, the platform, the security, and the product.
I enjoy difficult business problems because that's where architecture actually matters. The satisfying part isn't the model it's turning a messy, real-world workflow into a system that quietly does its job at scale.
Start from the business problem
Great architecture is invisible. I begin with the outcome a business needs and work backward to the simplest system that delivers it reliably.
Design for tenancy, scale & trust
Multi-tenancy, security and observability aren't features you bolt on later — they're the foundation every enterprise product is built on.
Ship end-to-end, not just features
From data pipelines and model serving to the UI and deployment, I own the whole product surface so the pieces actually fit together.
Make AI explainable
For AI that people must trust, the answer isn't enough — the reasoning is the product. I build systems that show their work.
An interactive timeline of the work.
Education, career, projects and milestones — filter to trace a single thread through the story.
- 2020Education
B.Tech, Computer Science Engineering
Raghu Institute of Technology
Graduated May 2020 — the engineering foundation (algorithms, data structures, ML) behind everything that came after.
- 2020Projects
Crop Yield Prediction
B.Tech Capstone
Regression + gradient-descent model predicting agricultural yield — the award-winning capstone project.
- 2020Career
Data Platform Engineer & ML Systems Developer
Crisp Croft
Built cloud ETL pipelines on Azure and Snowflake and ML forecasting systems for crop yield and demand prediction.
- 2021Career
Risk Analyst
Amazon Development Center
Developed predictive ML models for driver safety over 500,000+ events, reaching 95% prediction accuracy.
- 2021Projects
PeopleSoft Enterprise Recruiting
Enterprise / ERP
Delivered eRecruit enhancements with PeopleCode and SQL — recruiting workflow automation and applicant screening.
- 2022Projects
Driver Safety AI
Predictive Analytics
K-Means clustering and Random Forest classification to profile driver risk, trigger alerts and drive coaching.
- 2023Career
Operations & Analytics
DePaul University
Owned analytics across 15+ buildings and 1,000+ assets, automating reporting for 40% faster turnaround.
- 2024Education
M.S. in Business Analytics
DePaul University
Graduated with a Master's in Business Analytics — the bridge from data analysis to AI platform architecture.
- 2024Projects
AI Resume Intelligence Engine
HR Technology
Document-AI for PDF/DOCX parsing, entity extraction with confidence scoring and resume-to-job semantic matching.
- 2024Projects
Trading AI Platform
Machine Learning
Real-time /predict ensemble pipeline, CALLS/PUTS decision engine and EDGAR XBRL fundamental analysis.
- 2024Projects
Tesla vs GM — Financial Analytics
Financial Analytics
Profitability, leverage, liquidity and efficiency ratio analysis framed as an investment thesis.
- 2025Career
Systems Engineer & Data Platform Developer
VR IT Resources · Sterling, VA
Architect and build enterprise AI and data platforms end-to-end — SQL analytics, AI recruiting and conversational AI.
- 2025Projects
TalentPike — Enterprise AI Recruiting
Founding Architect
Architected a multi-tenant AI recruiting platform: semantic matching, vector embeddings and ML candidate ranking.
- 2025Projects
Conversational AI Assistant
Applied AI
NLP-based service discovery, knowledge retrieval and document lookup on Azure to reduce call-center load.
- 2025Projects
AI Marketing Platform
SaaS Platform
Outbound sales platform with lead management, AI outreach drafts and a human approval queue on a CRM-ready architecture.
- 2025Milestones
AI Solutions Architect
Enterprise AI
Building enterprise AI platforms end-to-end — from data pipelines and local LLM workflows to secure, multi-tenant SaaS.
Impact across the enterprise stack.
Roles where I owned architecture and outcomes — with the business impact and technologies behind each.
Systems Engineer & Data Platform Developer
VR IT Resources · Sterling, VA
Architect and build enterprise AI and data platforms end-to-end — from large-scale SQL analytics pipelines to AI recruiting intelligence and conversational assistants.
- Built large-scale SQL analytics pipelines processing 170,000+ records, improving data accuracy by 51%.
- Architected an AI recruiting intelligence platform with semantic matching, vector embeddings and ML candidate ranking at sub-second inference.
- Developed a conversational AI assistant using NLP knowledge retrieval to streamline internal service access.
- Automated enterprise workflows and data integration, saving 20+ hours per month of manual effort.
Operations & Analytics
DePaul University · Chicago, IL
Owned analytics and reporting across a large facilities portfolio, automating pipelines and enabling faster, data-driven decisions.
- Built SQL analytics pipelines spanning 15+ buildings and 1,000+ managed assets.
- Automated reporting workflows, delivering 40% faster reporting turnaround.
- Designed inventory tracking and resource-allocation processes, plus vendor-evaluation workflows.
- Mentored team members on analytics tooling and process.
Risk Analyst
Amazon Development Center · Hyderabad, India
Built predictive ML models and analytics for driver safety and operational risk at scale.
- Developed 30+ Tableau dashboards over 500,000+ event records for safety and operations.
- Built predictive ML classification models achieving 95% prediction accuracy for driver risk.
- Drove a 25% reduction in repeat safety violations through driver performance scoring and root-cause analysis.
- Optimized Snowflake and SQL Server queries for a 20% latency reduction, saving ~25 hours/month.
Data Platform Engineer & ML Systems Developer
Crisp Croft · Hyderabad, India
Built cloud data platforms and ML forecasting systems on Azure and Snowflake.
- Engineered ETL pipelines with Azure Data Factory, Blob and Azure SQL, cutting latency by 25%.
- Built crop-yield prediction models from weather and soil data using regression modeling.
- Developed restaurant demand prediction and inventory optimization with time-series forecasting.
- Implemented DBT transformations that improved database throughput by 35%.
The academic foundation.
From computer science engineering to a Master's in Business Analytics — the bridge between data and business impact.
M.S. in Business Analytics
DePaul University
Chicago, IL · Dec 2024
B.Tech in Computer Science Engineering
Raghu Institute of Technology
India