| Energy & Utilities |
A major energy distributor struggled with manual FEMA reimbursement processing after a hurricane, causing bottlenecks and delays. |
Accelerate and automate FEMA document processing to unlock recovery funds. |
Led a team to build custom OCR models for FEMA forms. Used Azure Document Intelligence, PostgreSQL, and QC dashboards for review. |
Cut processing time by 90%, enabling $60M in reimbursements and 3x contract growth. Infrastructure reused across future projects. |
| Healthcare |
NY healthcare payors faced CMS penalties due to bad directory data. |
Build audit simulation tools to improve data quality before federal audits. |
Designed a rules-based and ML-augmented audit simulator. Created synthetic data, risk dashboards, and compliance scores. |
Improved audit performance by 15% and reduced penalties. Created a reusable quarterly compliance process. |
| Healthcare |
A home healthcare provider was near bankruptcy with fragmented data and outdated systems. |
Lead an enterprise data transformation for care, compliance, and financial ops. |
Managed a 15-person team. Migrated data to Azure, implemented governance with Collibra, and built a Patient 360 solution. |
Delivered $5M+ in value through improved analytics and operational efficiency. Stabilized IT during leadership changes. |
| Life Sciences / Pharma |
A pharmaceutical tech firm needed a way to assist technicians with clinical questions. |
Deliver a secure, LLM-powered chatbot for pharmacy techs. |
Architected a solution using LangChain, CrewAI, and FAISS for RAG. Built with GPT-4 and added access controls. |
Deployed to BETA portal, reducing technician wait time and demonstrating safe GenAI use. |
| Healthcare / Legal Services |
MRI client lacked visibility into PI market prospects across fragmented data. |
Build a unified CRM dataset from external legal and medical sources. |
Created ML pipelines using record linkage and NLP. Unified bar, payer, and court data; integrated into Salesforce. |
Boosted usable CRM data by 90%, enhancing sales and marketing targeting. |
| MedTech |
Medtech partner needed real-time tissue detection during colonoscopies. |
Build a deep learning model for live abnormality detection. |
Trained a PyTorch CNN on endoscopic video. Optimized for real-time inference and low latency. |
Achieved 90% F1 score. Model performance supported clinical trial readiness. |
| Consumer Goods |
A global CPG client’s GenAI system was built on legacy AWS infrastructure. |
Migrate to Azure and refactor for scalable GenAI workloads. |
Re-architected platform using Azure Functions, SQL, and AKS. Containerized GPT microservices. |
Cut infrastructure cost by 30% and reduced deployment time from weeks to hours. |
| Automotive |
Automotive OEM faced battery defects with unclear causes. |
Identify battery defects in real-time from factory cameras. |
Built a hierarchical CNN with Keras/TensorFlow. Deployed explainable ML with Grad-CAM and MLOps integration. |
Reached 92% F1 and secured $45M supplier contract after successful PoC. |
| Software / DevOps |
Data mismatches across dev/staging/prod environments were delaying releases. |
Ensure real-time data sync across environments. |
Built CDC pipeline using Debezium, Kafka, and Postgres. Added schema validation and topic automation. |
Reduced data sync issues by 95%, speeding up DevOps cycles. |
| Manufacturing |
Engine manufacturer needed to predict engine failure from service logs. |
Build a predictive NLP model for engine end-of-life. |
Fine-tuned BERT for entity extraction. Built predictive pipeline and deployed with MLflow APIs. |
Delivered 28% lift in F1 and enabled warranty-based decision-making. |
| Automotive |
Ford lacked data on customer driving behavior for hands-free features. |
Reconstruct driving routes from sparse telematics data. |
Used PySpark to process 10M+ events. Rebuilt routes using spatio-temporal clustering and test drive validation. |
Reached ~90% accuracy and secured investment for production rollout. |
| Automotive |
Owner’s manual chatbot couldn’t handle structured data. |
Enable natural language querying of structured databases. |
Enhanced transformer-based Text-to-SQL model with semantic parsing and schema grounding. |
Hit 91% accuracy, filed invention disclosure, and demoed at Ford’s global data conference. |
| Automotive |
Built a Q&A chatbot on vehicle manuals. |
Create a scalable, in-vehicle question-answering tool. |
Combined ElasticSearch and BERT-based QA. Deployed to Ford’s Kubernetes platform with SSO. |
Achieved 98% accuracy. Tool became top resource for engineering and compliance. |