Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

I am a results-driven senior GenAI engineer with 8+ years of experience architecting, fine-tuning, and deploying LLM and AI-driven solutions across enterprise environments. I specialize in building scalable AI pipelines, retrieval-augmented generation (RAG), and multimodal inference, delivering governance-ready platforms and reliable inference workflows. I collaborate with cross-functional teams to translate complex business problems into robust AI architectures, emphasizing security, observability, and regulatory compliance, while delivering measurable impact at scale.…I am a results-driven senior GenAI engineer with 8+ years of experience architecting, fine-tuning, and deploying LLM and AI-driven solutions across enterprise environments. I specialize in building scalable AI pipelines, retrieval-augmented generation (RAG), and multimodal inference, delivering governance-ready platforms and reliable inference workflows. I collaborate with cross-functional teams to translate complex business problems into robust AI architectures, emphasizing security, observability, and regulatory compliance, while delivering measurable impact at scale.

Thotakuri Mounika

Data Scientist, Full Stack Developer, Web Developer, +2





I am a results-driven senior GenAI engineer with 8+ years of experience architecting, fine-tuning, and deploying LLM and AI-driven solutions across enterprise environments. I specialize in building scalable AI pipelines, retrieval-augmented generation (RAG), and multimodal inference, delivering governance-ready platforms and reliable inference workflows. I collaborate with cross-functional teams to translate complex business problems into robust AI architectures, emphasizing security, observability, and regulatory compliance, while delivering measurable impact at scale.…I am a results-driven senior GenAI engineer with 8+ years of experience architecting, fine-tuning, and deploying LLM and AI-driven solutions across enterprise environments. I specialize in building scalable AI pipelines, retrieval-augmented generation (RAG), and multimodal inference, delivering governance-ready platforms and reliable inference workflows. I collaborate with cross-functional teams to translate complex business problems into robust AI architectures, emphasizing security, observability, and regulatory compliance, while delivering measurable impact at scale.

Available to hire

I am a results-driven senior GenAI engineer with 8+ years of experience architecting, fine-tuning, and deploying LLM and AI-driven solutions across enterprise environments. I specialize in building scalable AI pipelines, retrieval-augmented generation (RAG), and multimodal inference, delivering governance-ready platforms and reliable inference workflows.

I collaborate with cross-functional teams to translate complex business problems into robust AI architectures, emphasizing security, observability, and regulatory compliance, while delivering measurable impact at scale.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Senior GenAI Engineer at Morgan Stanley

January 1, 2025 - Present

Led design and development of an enterprise-scale Generative AI platform enabling context-aware financial knowledge retrieval, RAG pipelines across structured and unstructured data, and multimodal embeddings. Implemented domain-specialized LLMs (LLaMA2, Mistral) with LoRA/PEFT and tokenization strategies to support financial terminology and regulatory requirements. Built LangChain-based orchestration and PromptFlow-driven experimentation, with robust guardrails for safe multi-agent tool use. Deployed cloud-native services on Azure ML and Kubernetes (AKS), with FastAPI-based inference endpoints, GPU-accelerated serving, and CI/CD via GitHub Actions and Terraform. Established observability and governance via MLflow, DVC, Prometheus, and Azure Key Vault, alongside drift detection and self-healing retraining. Built RAG search stacks using FAISS and Pinecone and integrated Vertex AI for cross-cloud capabilities. Collaborated with stakeholders to ensure compliance, security, and scalable per

Senior ML Engineer at Citrix

August 1, 2023 - December 1, 2024

Designed and deployed an enterprise ML platform for SaaS operations, delivering real-time analytics and predictive insights for performance monitoring and resource optimization. Implemented a centralized Feast feature store, Vertex AI pipelines, and multi-tenant GPU inference on GKE, enabling scalable, low-latency scoring across lines of business. Built NLP pipelines, intent classification, and conversation analytics using Hugging Face Transformers and Dialogflow CX, and developed Vertex AI-based Virtual Agent capabilities with Agent Assist integration. Implemented CI/CD for chatbot and model deployments with Docker, Kubernetes, Terraform, and Helm; established model monitoring, drift detection, and secure data governance with Azure/AWS integrations. Orchestrated end-to-end batch and streaming workflows with Airflow and Argo, enabling reproducible retraining and governance for production pipelines.

Data Scientist at Exl Service

March 1, 2017 - October 1, 2020

Developed predictive analytics and NLP solutions for client projects, building XGBoost and LightGBM models for forecasting and KPI prediction. Engineered feature transformation pipelines, deployed real-time and batch inference with TensorFlow Serving and TorchServe, and integrated with data lakes via Airflow. Established end-to-end ML pipelines with Vertex AI and Azure ML, enabling reproducible training, evaluation, and deployment across multiple tenants. Implemented model explainability, SHAP/LIME analyses, and monitoring dashboards to ensure transparency, regulatory alignment, and operational reliability.