Available to hire
Hi, I’m Ramu Ganta, an AI/ML engineer with 8+ years of experience building production Generative AI systems, RAG architectures, and end-to-end ML pipelines across enterprise, manufacturing, and CRM environments. I enjoy turning complex data challenges into scalable, user-friendly AI solutions.
I’m passionate about deploying LLM-powered applications on AWS Bedrock, Azure OpenAI, LangChain, and vector databases, delivering measurable impact such as faster information retrieval and improved accuracy. I collaborate with product, engineering, and business teams to drive enterprise AI adoption across Fortune 500 organizations.
Skills
Experience Level
Expert
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Expert
Language
English
Fluent
Work Experience
AI/ML Engineer at AUConnects
August 1, 2025 - PresentArchitected and deployed an enterprise-grade GenAI RAG platform (ingestion, embeddings, retrieval, re-ranking, summarization) supporting operational and financial workflows, reducing information retrieval time by ~60%. Built GPU-optimized embedding and vector search pipelines indexing 50K+ documents for scalable enterprise knowledge discovery. Developed production ML inference services using FastAPI and Docker to deliver real-time predictions and GenAI outputs to internal applications. Implemented distributed ML training, experiment tracking, and model governance using Databricks and MLflow. Designed automated monitoring, drift detection, and retraining workflows, improving production reliability. Optimized ETL/ELT pipelines in Azure Synapse and integrated predictive models into Power BI dashboards.
AI/ML Engineer at Carrier HVAC
January 1, 2024 - August 31, 2025Designed and deployed forecasting and predictive analytics models (demand, cost variance, service volume), improving planning accuracy by ~30%. Built production ML pipelines using Python, Databricks, and Azure Synapse, reducing refresh cycles from 24 hours to ~1 hour. Developed anomaly detection systems to identify supply-chain disruptions and process deviations. Optimized model training performance through data partitioning and vectorized processing, reducing runtime by ~40%. Deployed containerized inference endpoints using Docker and Azure ML. Implemented feature stores and reusable pipelines for consistent experimentation. Integrated ML predictions into Power BI dashboards used by supply chain leadership.
Machine Learning Engineer (Sales, Churn, Revenue Models & AI Automation) at Sabnext Solutions
June 1, 2023 - December 31, 2023Built ML models for churn prediction, pipeline conversion, and revenue forecasting, improving accuracy by ~30%. Designed segmentation and clustering models based on customer behavior. Implemented ML + rule-based anomaly detection for CRM data quality and pipeline risk. Automated ETL and ML orchestration using Python and Airflow with ~95% on-time execution. Developed FastAPI-based ML scoring services integrated with CRM systems and deployed to production. Integrated ML outputs into Tableau dashboards for real-time sales intelligence. Performed data quality checks and EDA to ensure ML readiness and successful stakeholder adoption.
Machine Learning Engineer (Predictive Analytics & Forecasting) at Vassarlabs IT Solutions (QCode Software Solutions)
January 1, 2022 - May 31, 2023Built time-series forecasting models for supply chain, logistics, and finance use cases; developed anomaly detection pipelines for supplier lead-time deviations. Engineered ML-ready datasets using Python and SQL; automated preprocessing and feature engineering pipelines. Integrated ML predictions into Power BI dashboards with confidence intervals, enabling data-driven planning. Partnered with stakeholders to deliver ML-driven prototypes and scalable analytics solutions.
Machine Learning Analyst (Augmented Analytics & ETL for ML) at Vassarlabs IT Solutions
October 1, 2020 - January 31, 2022Designed analytics dashboards with ML-assisted KPI recommendations. Built Python ETL pipelines to prepare structured datasets for ML workflows; implemented data governance and quality checks. Supported UAT and validation of predictive features; collaborated with business teams to define ML-backed KPIs and ensure actionable insights.
Machine Learning Engineer (Python Automation & ML Ops) at VassarLabs IT Solutions
May 1, 2017 - September 30, 2020Built Python automation pipelines achieving ~99% data accuracy for financial reconciliation. Implemented early ML models (Random Forest, XGBoost, SVM, Logistic Regression). Designed BI dashboards with ML-informed metrics; reduced reporting time by ~35%. Developed ETL pipelines and reusable utilities for analytics and ML. Built Flask APIs for early ML deployments.
AI/ML Engineer at AUConnects LLC
August 1, 2025 - PresentArchitected an enterprise Generative AI Retrieval-Augmented Generation (RAG) platform with a multi-stage pipeline processing 50K+ documents. Reduced information retrieval time by ~60% and enabled self-service AI for 500+ users. Orchestrated LLM workflows using AWS Bedrock (Claude 3.5) and Azure OpenAI (GPT-4) with LangChain, implementing structured prompting, few-shot learning, and tool calling for business applications. Built embeddings pipelines with Sentence Transformers and Pinecone for semantic search with metadata filtering and re-ranking. Developed production FastAPI microservices for real-time GenAI inference on AWS ECS with auto-scaling. Established MLflow-based MLOps, including experiment tracking, model registry, and automated CI/CD. Implemented monitoring and drift detection with Evidently AI and CloudWatch dashboards, and integrated AI predictions into Power BI dashboards for leadership decision-making.
Machine Learning Engineer at Sabnext Solutions
June 1, 2023 - December 1, 2023Built churn, conversion, and revenue forecasting models (XGBoost, CatBoost) achieving ~30% improvements in accuracy. Developed customer segmentation using RFM analysis and K-means clustering to drive targeted campaigns. Implemented anomaly detection combining Isolation Forest with business rules for CRM data quality monitoring and pipeline risk identification. Automated ETL pipelines using Apache Airflow with data quality checks and retry logic, achieving 95%+ on-time execution. Delivered FastAPI scoring services integrated with Salesforce for real-time churn risk and lead scoring. Created Tableau dashboards with ML-driven churn probabilities and customer lifetime value forecasts.
Machine Learning Engineer / Data Analyst at Vassarlabs IT Solutions (QCode Software)
January 1, 2022 - May 1, 2023Built time-series forecasting models (Prophet, ARIMA, LSTM) for supply chain and financial planning with advanced feature engineering and walk-forward validation. Developed anomaly detection pipelines for supplier lead-time monitoring and operational exceptions enabling proactive risk management. Standardized ML-ready datasets using Python and SQL with reusable feature engineering modules. Integrated forecasts into Power BI dashboards with prediction intervals and model performance metrics for leadership decision-making. Automated model training and scoring workflows using Python and Azure ML to increase release frequency.
Machine Learning Engineer / Data Analyst at Vassarlabs IT Solutions
May 1, 2017 - December 1, 2021Earlier in my career, I served as a Machine Learning Engineer / Data Analyst in Hyderabad, developing ML models (Random Forest, XGBoost, SVM) for classification and pattern detection, implementing ETL/data quality frameworks, and delivering BI dashboards. I also deployed ML models via Flask APIs for integration with internal apps, improving data-driven decision-making.
Education
Masters in Data Science at Wichita State University
January 11, 2030 - May 1, 2023Bachelors of Technology at Birla Institute of Technology, India
January 11, 2030 - May 1, 2018Master of Science in Data Science at Wichita State University, Kansas, USA
January 11, 2030 - May 1, 2023Bachelor of Technology in Computer Science at Birla Institute of Technology, India
January 11, 2030 - May 1, 2018Qualifications
AWS Certified Machine Learning – Specialty
January 11, 2030 - December 17, 2025Google Cloud Professional Machine Learning Engineer
January 11, 2030 - December 17, 2025Microsoft Azure AI Engineer Associate (AI-102)
January 11, 2030 - December 17, 2025Databricks Machine Learning Professional
January 11, 2030 - December 17, 2025Alteryx Designer Core Certified
January 11, 2030 - December 17, 2025Generative AI & LLM Engineering (365 Data Science) – LangChain, LLMs, RAG, OpenAI
January 11, 2030 - December 17, 2025AWS Certified Machine Learning – Specialty
January 11, 2030 - January 6, 2026Microsoft Certified: Azure AI Engineer Associate (AI-102)
January 11, 2030 - January 6, 2026Google Cloud Professional Machine Learning Engineer
January 11, 2030 - January 6, 2026Databricks Certified Machine Learning Professional
January 11, 2030 - January 6, 2026LLM Engineering Specialization – OpenAI, LangChain, Vector Databases, Fine-Tuning (365 Data Science)
January 11, 2030 - January 6, 2026Model Context Protocol (MCP) for AI Systems (365 Data Science)
January 11, 2030 - January 6, 2026Industry Experience
Manufacturing, Software & Internet, Professional Services, Financial Services, Transportation & Logistics, Computers & Electronics
Skills
Experience Level
Expert
Expert
Expert
Expert
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