RE: Lead Data Scientist / GenAI Architect | 10+ Years | Python | LLMs | Azure OpenAI | AWS | GCP | MLOps | C2C | Available for Immediate Interview
ishmaiel
Hello Hiring Manager / Recruiter,
I am reaching out to present Savitha Rani, a Lead Data Scientist / AI & Generative AI Architect, available on a Corp-to-Corp (C2C) basis for Lead Data Scientist, ML Engineer, GenAI (LLM), and AI Platform roles.
She brings 10+ years of experience combining core Data Science expertise with advanced Generative AI, Machine Learning Engineering, and MLOps, delivering scalable, production-grade AI systems across financial services, healthcare, and manufacturing domains.
🔹 Consultant Profile Snapshot
• Role: Lead Data Scientist / ML Engineer / GenAI Architect
• Experience: 10+ Years
• Core Strength: Data Science + Production AI Systems + Generative AI
• Programming: Python, PySpark, SQL
• ML & DS: Statistical Modeling, Forecasting, NLP, Feature Engineering, A/B Testing
• GenAI & LLMs: GPT-4/4o, Claude, LLaMA, Gemini, Mistral, RAG, Agentic AI
• Frameworks: LangChain, LangGraph, CrewAI, LlamaIndex, AutoGen
• Vector DBs: Pinecone, FAISS, ChromaDB, Weaviate, Milvus
• MLOps/LLMOps: MLflow, Kubeflow, CI/CD, Model Monitoring, Drift Detection
• Cloud: AWS (Bedrock, SageMaker), Azure OpenAI, GCP Vertex AI
• Deployment: Docker, Kubernetes, FastAPI
🔹 Consultant Details
• Name: Savitha Rani
• Location: USA
• Relocation: Yes
• Interview: One-day notice
• Availability: 2 Weeks
🔹 Key Value Highlights
• Lead Data Scientist with Production Impact: Designed and delivered end-to-end ML solutions—from EDA and statistical modeling to deployment—driving measurable business outcomes
• Architected Agentic AI Systems: Built autonomous multi-agent platforms capable of reasoning, investigation, and decision-making for complex enterprise workflows
• Enterprise-Scale RAG Pipelines: Developed advanced retrieval-augmented generation systems with hybrid search, significantly improving contextual accuracy and response relevance
• AIOps & Predictive Intelligence: Delivered AI-driven observability and Kubernetes troubleshooting systems, reducing MTTR through predictive insights and automated root cause analysis
• Production-Grade LLM Deployment: Implemented secure, scalable LLM applications using Azure OpenAI, AWS Bedrock, and Vertex AI with governance and compliance controls
• Advanced NLP & Data Science Expertise: Built and fine-tuned models (BERT, Transformers) for classification, NER, sentiment analysis, and document intelligence
• End-to-End MLOps / LLMOps: Established pipelines for model lifecycle management, including experiment tracking, versioning, CI/CD, monitoring, and automated retraining
• Performance & Cost Optimization: Optimized LLM and ML systems for latency, scalability, and cost efficiency through prompt engineering and architecture improvements
• Time-Series Forecasting & Analytics: Implemented forecasting models (TimeGPT, Prophet, GluonTS) for infrastructure and business-critical predictions
• Computer Vision & Deep Learning: Delivered high-accuracy (up to 98%) models for defect detection, medical imaging, and predictive maintenance
• Data Engineering & Feature Pipelines: Built scalable pipelines using PySpark, Airflow, and SQL to support large-scale ML workflows
• Governance & Responsible AI: Implemented RBAC, data lineage, PII masking, fairness checks, and audit frameworks aligned with enterprise regulations
• Research & Innovation: IEEE-published researcher with strong expertise in deep learning, 3D CNNs, and applied AI research
🔹 Consultant Impact
• Reduced MTTR significantly using AI-driven automation and predictive diagnostics
• Delivered 40%+ operational efficiency improvements through intelligent automation
• Improved model accuracy up to 98% across ML and deep learning use cases
• Reduced LLM inference cost and latency through optimization strategies
• Enabled enterprise-scale AI adoption with robust MLOps and LLMOps frameworks
Savitha uniquely combines strong Data Science fundamentals with advanced Generative AI and production-scale ML engineering, enabling her to design, build, and operationalize intelligent systems end-to-end. She is an excellent fit for Lead Data Scientist, GenAI, and AI Architect roles requiring both analytical depth and engineering excellence.
Please let me know if you would like her resume, rate details, or to schedule a discussion. I’d be happy to coordinate immediately.
Best regards,
Ishmaiel || Sr Bench Sales Recruiter
TEK TREE LLC
Email: Ishm...@tektreeinc.com || Direct : +1 734-661-7968
LinkedIn ID: https://www.linkedin.com/in/ishmaiel/
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