Naitik Shah

About Naitik Shah

Machine Learning Engineer | AI Architect | Data Scientist | Founder (Acquired Startup)| Researcher | Open-Source ContributorNaitik Nilesh Shah designs and deploys enterprise-scale AI solutions that balance technical precision with business impact. As founder of acquired healthcare startup CuraNote, he engineered HIPAA-compliant voice agents (95% accuracy) that automated 30+ hours/month of clinical documentation per user, processing 1TB+ EHR data across 10 labs. His work has driven $3M+ in operational savings for Fortune 500 firms and high-growth startups.Core Expertise Production ML Systems: Built Transformer-based call assist models (25% faster DTE Energy resolution), Bayesian-optimized Azure classifiers (0.85 AUC for 2.3M+ accounts), and PyTorch vision systems (43% fewer factory injuries at Nylex). LLM/NLP Engineering: Fine-tuned Llama-2/RAG architectures for medical NLP; developed Notique (Llama-3 + LangChain) boosting user efficiency by 25%. Scalable MLOps: Deployed AWS/Azure pipelines (99.9% uptime) with Kubernetes, Docker, and CI/CD. Scaled PySpark to process 100GB/hr speech data (10K+ fewer support calls). Full-Stack Development: Shipped React/FastAPI apps (<1s latency), automated SAP workflows (50+ integrations), and optimized SQL warehouses (50% faster queries).Select AchievementsHealthcare AI Acquisition: Led technical strategy for CuraNote’s voice agent (Vosk + Llama-2), a key driver in its acquisition.$750K Cost Avoidance: Classified low-income utility customers via Azure ML, enabling precise FPL assessments for 2.3M+ accounts.Big Data Optimization: Reduced inventory costs by ₹20M at Nylex through predictive analytics (93% LSTM accuracy).Technical CredentialsEducation: M.S. in CS (4.0 GPA, Wayne State), B.E. in Computer Engineering (University of Mumbai).Certifications: AWS Cloud, IBM Data Science.Stack: Python (PyTorch/TensorFlow), SQL, Databricks, FastAPI, Docker, MLFlow.PhilosophyBelieves AI’s value lies in operationalization—models must transcend POCs to drive ROI. Combines technical rigor (4.0 GPA) with cross-functional leadership, having aligned engineering teams and C-suite stakeholders at Fortune 500s.ProjectsNotique: GenAI scheduling assistant (Next.js/FastAPI) with 50+ DAUs.LinkZen:<1s latency link manager (Gemini API + SQLite).Energy/Load Forecasting: Forecast energy needs with 89% accuracy (LSTM)

Experience

1. Cloud Architect

   L.L.Bean

   Sep 2025 — Present · US

   Assisting in building out the Enterprise Data Platform (EDP)Built regulatory data delete in accordance to GDPR and CPPADeveloping solution using Gemini for auto table descriptions and mass aspect updates from CSV to Dataplex and BigQuery (using SQL queries)

Education

• Wayne State University College of Engineering

  Master's degree, Computer Science

• University of Mumbai

  Bachelor of Engineering - BE, Computer Engineering