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Hi, I'm Manisha, an AI/ML Engineer with 8+ years delivering scalable ML and GenAI solutions across end-to-end production lifecycles. I transform complex data into actionable insights, improve business outcomes, and drive operational efficiency. I've built GenAI apps on AWS Bedrock and integrated foundation models like Anthropic Claude and Amazon Titan into enterprise workflows. I enjoy turning data into strategic decisions and collaborating with cross-functional teams to deliver impact. I’m proficient in Python and SQL, data preprocessing, feature engineering, and building robust data pipelines. I design and optimize prompt engineering strategies for LLMs, develop and optimize models with Scikit-learn, XGBoost, and LightGBM, and apply statistical modeling, cross-validation, and A/B testing to ensure reliable performance. I’ve modernized legacy reporting with Power BI, integrated Salesforce for enterprise analytics, and deployed production ML systems with a focus on MLOps, governance, and cost optimization.…Hi, I'm Manisha, an AI/ML Engineer with 8+ years delivering scalable ML and GenAI solutions across end-to-end production lifecycles. I transform complex data into actionable insights, improve business outcomes, and drive operational efficiency. I've built GenAI apps on AWS Bedrock and integrated foundation models like Anthropic Claude and Amazon Titan into enterprise workflows. I enjoy turning data into strategic decisions and collaborating with cross-functional teams to deliver impact. I’m proficient in Python and SQL, data preprocessing, feature engineering, and building robust data pipelines. I design and optimize prompt engineering strategies for LLMs, develop and optimize models with Scikit-learn, XGBoost, and LightGBM, and apply statistical modeling, cross-validation, and A/B testing to ensure reliable performance. I’ve modernized legacy reporting with Power BI, integrated Salesforce for enterprise analytics, and deployed production ML systems with a focus on MLOps, governance, and cost optimization.

Manisha

Data Scientist, AI Engineer, AI Developer, +2

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Hi, I'm Manisha, an AI/ML Engineer with 8+ years delivering scalable ML and GenAI solutions across end-to-end production lifecycles. I transform complex data into actionable insights, improve business outcomes, and drive operational efficiency. I've built GenAI apps on AWS Bedrock and integrated foundation models like Anthropic Claude and Amazon Titan into enterprise workflows. I enjoy turning data into strategic decisions and collaborating with cross-functional teams to deliver impact. I’m proficient in Python and SQL, data preprocessing, feature engineering, and building robust data pipelines. I design and optimize prompt engineering strategies for LLMs, develop and optimize models with Scikit-learn, XGBoost, and LightGBM, and apply statistical modeling, cross-validation, and A/B testing to ensure reliable performance. I’ve modernized legacy reporting with Power BI, integrated Salesforce for enterprise analytics, and deployed production ML systems with a focus on MLOps, governance, and cost optimization.…Hi, I'm Manisha, an AI/ML Engineer with 8+ years delivering scalable ML and GenAI solutions across end-to-end production lifecycles. I transform complex data into actionable insights, improve business outcomes, and drive operational efficiency. I've built GenAI apps on AWS Bedrock and integrated foundation models like Anthropic Claude and Amazon Titan into enterprise workflows. I enjoy turning data into strategic decisions and collaborating with cross-functional teams to deliver impact. I’m proficient in Python and SQL, data preprocessing, feature engineering, and building robust data pipelines. I design and optimize prompt engineering strategies for LLMs, develop and optimize models with Scikit-learn, XGBoost, and LightGBM, and apply statistical modeling, cross-validation, and A/B testing to ensure reliable performance. I’ve modernized legacy reporting with Power BI, integrated Salesforce for enterprise analytics, and deployed production ML systems with a focus on MLOps, governance, and cost optimization.

Available to hire

Hi, I’m Manisha, an AI/ML Engineer with 8+ years delivering scalable ML and GenAI solutions across end-to-end production lifecycles. I transform complex data into actionable insights, improve business outcomes, and drive operational efficiency. I’ve built GenAI apps on AWS Bedrock and integrated foundation models like Anthropic Claude and Amazon Titan into enterprise workflows. I enjoy turning data into strategic decisions and collaborating with cross-functional teams to deliver impact.

I’m proficient in Python and SQL, data preprocessing, feature engineering, and building robust data pipelines. I design and optimize prompt engineering strategies for LLMs, develop and optimize models with Scikit-learn, XGBoost, and LightGBM, and apply statistical modeling, cross-validation, and A/B testing to ensure reliable performance. I’ve modernized legacy reporting with Power BI, integrated Salesforce for enterprise analytics, and deployed production ML systems with a focus on MLOps, governance, and cost optimization.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

PAAI/ML Engineer at First Commonwealth Bank

January 1, 2025 - Present

Delivered production-grade ML systems on AWS to support large-scale model training and real-time inference with high availability. Integrated Salesforce CRM data for enterprise reporting and advanced analytics; engineered end-to-end data pipelines and feature sets; implemented RAG pipelines with embedding tuning to improve retrieval quality. Built AI microservices with FastAPI exposing LLM-powered capabilities (chatbots, summarization, copilots) and deployed LangChain + Vertex AI-based Agentic AI workflows to automate customer queries (reducing manual support by 40%). Designed and refined prompt strategies and built an internal AI Copilot using vector databases for policy search and decision support. Performed AB testing and applied SHAP for interpretability; created Power BI schemas and dashboards; orchestrated ML pipelines with Airflow and deployed models via SageMaker with serverless components. Led DL initiatives (fraud, anomaly detection) using PyTorch/TensorFlow and optimized sto

MOML Engineer at SSM Health

October 1, 2022 - December 1, 2024

Built scalable ML pipelines using Python, Pandas, NumPy and Scikit-learn; designed feature engineering and ETL workflows with Azure Data Factory; processed large datasets on Azure Databricks and Spark; trained and tuned models with LightGBM and ensembles. Developed a clinical decision support Copilot using LangChain + Vertex AI for patient summarization and treatment suggestions; implemented guardrails with Bedrock and MLflow for experiment tracking. Implemented NLP pipelines via TensorFlow/PyTorch on EHR data, monitored latency and cost to optimize Bedrock deployments, and delivered real-time and batch predictions via REST APIs (Flask). Containerized services with Docker and deployed on AKS; orchestrated Airflow pipelines; used Ray for distributed hyperparameter tuning and managed lifecycle with Azure ML. Secured configs with Azure Key Vault and implemented CI/CD with Azure DevOps; used DAX and Power BI to visualize model performance and health.

Data Scientist at Colonial Life

June 1, 2020 - September 1, 2022

Developed supervised models for churn, policy renewal, and claim risk with Scikit-learn, TensorFlow, and PyTorch, driving a 15% improvement in retention. Built an AI-powered Copilot for agents using LangChain + LLMs to provide real-time policy recommendations; designed Agentic AI to automate claims processing, reducing turnaround time by 25%. Applied robust cross-validation and A/B testing to validate feature impact; created a RAG-based chatbot with LangChain and a vector database to answer policy questions. Implemented scalable ETL/ML pipelines with Airflow + GCP Vertex AI, and delivered interactive Tableau dashboards to communicate model results and health metrics.

Data Analyst at DataCore Software

October 1, 2018 - May 1, 2020

Queried and transformed data to build reliable datasets for reporting; performed data cleaning, exploratory data analysis, and validation to ensure data quality. Developed dashboards and reports in Tableau to communicate insights, supported analytics initiatives across multiple business units, and collaborated with stakeholders to translate data into actionable decisions.

AI/ML Engineer at First Commonwealth Bank

January 1, 2025 - Present

Delivered production-grade ML systems on AWS, enabling large-scale model training and real-time inference with high availability. Integrated Salesforce CRM data for enterprise reporting and advanced analytics. Performed end-to-end data preparation, cleansing, and feature engineering; built RAG pipelines with chunking, embeddings, and hybrid search; developed AI microservices with FastAPI for chatbots, summarization, and copilots. Applied cross-validation and A/B testing to ensure stability; implemented LangChain + Vertex AI-based Agentic AI workflows to automate customer query resolution; built an internal AI Copilot using vector databases (FAISS/Vertex) to support banking operations; designed prompt engineering strategies to reduce hallucinations and improve consistency. Monitored model performance (ROC-AUC, RMSE) and maintained CI/CD with MLOps; deployed models via SageMaker and serverless endpoints; built dashboards and visualizations to communicate outcomes.