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

Hi, I’m Tejashwini Manyam, an AI Engineer with 10+ years of experience building Python-based ML and data pipelines. I specialize in scalable ML systems, RAG workflows, and multi-cluster processing, delivering production-ready AI solutions by collaborating with data scientists, engineers, and DevOps teams. I enjoy turning complex business problems into data-driven products and ensuring models are reliable, interpretable, and maintainable. In my recent roles I’ve integrated cloud LLMs (AWS SageMaker, Google Cloud Gemini), built vector search and hybrid search pipelines, and implemented MLOps best practices across end-to-end pipelines. I’m passionate about explainability, model monitoring, and creating reusable architectures that scale with business needs.…Hi, I’m Tejashwini Manyam, an AI Engineer with 10+ years of experience building Python-based ML and data pipelines. I specialize in scalable ML systems, RAG workflows, and multi-cluster processing, delivering production-ready AI solutions by collaborating with data scientists, engineers, and DevOps teams. I enjoy turning complex business problems into data-driven products and ensuring models are reliable, interpretable, and maintainable. In my recent roles I’ve integrated cloud LLMs (AWS SageMaker, Google Cloud Gemini), built vector search and hybrid search pipelines, and implemented MLOps best practices across end-to-end pipelines. I’m passionate about explainability, model monitoring, and creating reusable architectures that scale with business needs.

Tejashwini Manyam

AI Engineer, Data Scientist, Data Analyst, +2





Hi, I’m Tejashwini Manyam, an AI Engineer with 10+ years of experience building Python-based ML and data pipelines. I specialize in scalable ML systems, RAG workflows, and multi-cluster processing, delivering production-ready AI solutions by collaborating with data scientists, engineers, and DevOps teams. I enjoy turning complex business problems into data-driven products and ensuring models are reliable, interpretable, and maintainable. In my recent roles I’ve integrated cloud LLMs (AWS SageMaker, Google Cloud Gemini), built vector search and hybrid search pipelines, and implemented MLOps best practices across end-to-end pipelines. I’m passionate about explainability, model monitoring, and creating reusable architectures that scale with business needs.…Hi, I’m Tejashwini Manyam, an AI Engineer with 10+ years of experience building Python-based ML and data pipelines. I specialize in scalable ML systems, RAG workflows, and multi-cluster processing, delivering production-ready AI solutions by collaborating with data scientists, engineers, and DevOps teams. I enjoy turning complex business problems into data-driven products and ensuring models are reliable, interpretable, and maintainable. In my recent roles I’ve integrated cloud LLMs (AWS SageMaker, Google Cloud Gemini), built vector search and hybrid search pipelines, and implemented MLOps best practices across end-to-end pipelines. I’m passionate about explainability, model monitoring, and creating reusable architectures that scale with business needs.

Available to hire

Hi, I’m Tejashwini Manyam, an AI Engineer with 10+ years of experience building Python-based ML and data pipelines. I specialize in scalable ML systems, RAG workflows, and multi-cluster processing, delivering production-ready AI solutions by collaborating with data scientists, engineers, and DevOps teams. I enjoy turning complex business problems into data-driven products and ensuring models are reliable, interpretable, and maintainable.

In my recent roles I’ve integrated cloud LLMs (AWS SageMaker, Google Cloud Gemini), built vector search and hybrid search pipelines, and implemented MLOps best practices across end-to-end pipelines. I’m passionate about explainability, model monitoring, and creating reusable architectures that scale with business needs.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

GenAI/AI Engineer at TD Bank

December 1, 2024 - Present

Architected modular AI agent orchestration within agentic frameworks for autonomous document summarization and enterprise knowledge retrieval. Fine-tuned LLMs using LoRa and QLoRA; integrated Google Gemini into enterprise pipelines for multimodal content generation, regulatory report automation, and context-aware retrieval. Engineered vector-based retrieval layers with FAISS, Pinecone, and Weaviate to support high-dimensional search across financial documents and internal libraries. Implemented centralized Prompt Layer for versioned prompts; established observability with Prometheus and Grafana; designed scalable multi-model serving with BentoML and KServe on GKE clusters. Built distributed generation workflows with Ray for parallel LLM inference tasks in summarization, Q&A, and content synthesis. Automated data pipelines via Apache Airflow from BigQuery and Cloud Storage; exposed LLM endpoints via Cloud Run/Functions with IAM-managed access. Provisioned infrastructure with Terraform a

GENAI/ML Engineer at Florida Department Of Health

November 1, 2022 - November 1, 2024

Architected cloud-native ML pipelines using SageMaker Pipelines, Argo Workflows, and Apache Airflow for orchestrating scalable, reproducible model training, validation, and deployment. Built centralized feature infrastructure using Feast, integrating data pipelines from AWS S3 and PostgreSQL to serve real-time and batch features for epidemiological models. Automated model versioning, lineage tracking, and deployment workflows using MLflow, integrated with Kubernetes workloads. Engineered containerized inference environments with Docker and deployed scalable model serving endpoints via Triton/TensorFlow Serving on Amazon EKS. Standardized infrastructure deployment with Terraform, Helm, and Vault for secrets. Implemented low-latency APIs using FastAPI secured with OAuth2 and AWS Secrets Manager, and enabled serverless model inference with AWS Lambda. Established CI/CD pipelines with GitHub Actions, and monitored pipelines with CloudWatch; included explainability reports and drift detecti

Data Scientist at Zurich Insurance

June 1, 2020 - October 1, 2022

Designed ML pipelines using DVC and Git for dataset versioning, feature engineering, and model checkpoint tracking. Enabled experiment tracking with MLflow; containerized workflows; deployed endpoints using SageMaker Inference; configured CI/CD with Docker/Kubernetes. Built RAG pipelines and vector DB integrations (FAISS, Pinecone) for risk and compliance knowledge retrieval. Applied LoRa fine-tuning for model optimization and created secure APIs for downstream consumption. Implemented production monitoring with custom dashboards and SHAP/LIME explainability analyses to support regulatory reporting.

Sr. Data Analyst at Kroger

August 1, 2018 - May 1, 2020

Performed data analysis, migration, and preparation for customer segmentation and profiling. Implemented data extraction/validation in Python (Pandas, NumPy) and SQL; built ETL pipelines to support data-driven decisions. Developed dashboards using Tableau and Power BI; automated recurring reports with Python scripts and Excel macros. Led data quality initiatives, enabling scalable analytics and operational efficiency.

Data Analyst at Wipro

January 1, 2016 - July 1, 2017

Extracted and processed structured and semi-structured data from MySQL and PostgreSQL; performed data cleaning, validation, and transformation. Conducted EDA in Python and Excel; designed and maintained Tableau dashboards and Excel reports. Automated recurring reporting tasks and facilitated cross-functional data sharing. Supported data governance and collaboration with GIT-based workflows and DevOps practices.

Python Developer at CYIENT

September 1, 2014 - December 1, 2015

Implemented business logic using Django, built comprehensive web modules, and developed front-end interfaces. Created test automation frameworks and performed SDLC-quality assurance activities. Coordinated with cross-functional teams to ensure secure, scalable web delivery and produced reusable code for future projects.