I am an AI/ML Engineer and AI Product Delivery Specialist with 5+ years of experience in Generative AI, Large Language Models (GPT-3.5/4, BERT, IBM Granite), Retrieval-Augmented Generation (RAG), and Agentic AI. I design multi-agent workflows, chat interfaces, and AI agent UX components, integrating with front-end frameworks to enhance usability and client engagement. I am proficient in MLOps, CI/CD, and cloud AI stacks across AWS, GCP, and Azure. I also bring a strong data engineering background with Databricks, Airflow, Kafka, PySpark, Hadoop, and Delta Lake, along with observability, governance, and bias evaluation. I collaborate with product owners, compliance teams, and executives to deliver scalable, secure, and user-centric AI solutions for regulated industries such as wealth management.

Vineel Chowdary Tummala

I am an AI/ML Engineer and AI Product Delivery Specialist with 5+ years of experience in Generative AI, Large Language Models (GPT-3.5/4, BERT, IBM Granite), Retrieval-Augmented Generation (RAG), and Agentic AI. I design multi-agent workflows, chat interfaces, and AI agent UX components, integrating with front-end frameworks to enhance usability and client engagement. I am proficient in MLOps, CI/CD, and cloud AI stacks across AWS, GCP, and Azure. I also bring a strong data engineering background with Databricks, Airflow, Kafka, PySpark, Hadoop, and Delta Lake, along with observability, governance, and bias evaluation. I collaborate with product owners, compliance teams, and executives to deliver scalable, secure, and user-centric AI solutions for regulated industries such as wealth management.

Available to hire

I am an AI/ML Engineer and AI Product Delivery Specialist with 5+ years of experience in Generative AI, Large Language Models (GPT-3.5/4, BERT, IBM Granite), Retrieval-Augmented Generation (RAG), and Agentic AI. I design multi-agent workflows, chat interfaces, and AI agent UX components, integrating with front-end frameworks to enhance usability and client engagement.

I am proficient in MLOps, CI/CD, and cloud AI stacks across AWS, GCP, and Azure. I also bring a strong data engineering background with Databricks, Airflow, Kafka, PySpark, Hadoop, and Delta Lake, along with observability, governance, and bias evaluation. I collaborate with product owners, compliance teams, and executives to deliver scalable, secure, and user-centric AI solutions for regulated industries such as wealth management.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert

Language

English
Fluent

Work Experience

Gen AI Developer at HatchWorks AI
August 1, 2024 - Present
Built scalable agentic AI infrastructure on AWS SageMaker and Azure, leveraging Docker, Kubernetes, and CI/CD pipelines to support reliable deployment and operation of multi-agent LLM systems at scale. Applied causal analysis and time-series forecasting to model customer behavior and optimize enterprise decision-making across large, heterogeneous datasets. Executed prompt engineering, embedding optimization, and fine-tuning of transformer-based models (GPT-3.5/4, BERT, IBM Granite) to improve context management and downstream task accuracy. Prototyped conversational AI assistants using LangChain and Hugging Face with FAISS/Azure Cognitive Services (AI Search, Vision, Text Analytics), iterating on user feedback to enhance usability and performance. Engineered real-time ML pipelines with Databricks, Apache Airflow, Apache Kafka, and Python for streaming, preprocessing, and ETL. Implemented observability with Splunk dashboards and ELK integration to provide AIOps-style health insights. Bu
AI/ML/Data Scientist at SoFi
July 1, 2024 - October 15, 2025
Designed and tested multi-agent RAG workflows with LangChain and Hugging Face transformers, validating orchestration strategies for financial operations. Fine-tuned LLMs (GPT family, BERT) to automate code refactoring, documentation, and feature implementation, deploying as Dockerized Flask APIs for seamless integration. Optimized retrieval with semantic embedding-based chunking in LangChain and Transformers to improve contextual accuracy and knowledge-grounded responses. Built RESTful Flask APIs and AWS API Gateway + Lambda services for model inference, integrating with chat-based interfaces and interactive dashboards (React, Angular, Power BI). Built scalable ML pipelines on Google Vertex AI AutoML, Databricks, and Google Dataflow to support financial forecasting, client portfolio optimization, and risk modeling. Demonstrated ROI of LLM-driven prototypes to influence product roadmaps and scaling plans. Designed quantitative and qualitative evaluation metrics to test LLM agent perform
Power BI Developer (Data Analyst) at Laurus Labs
December 1, 2022 - October 15, 2025
Designed and optimized SQL stored procedures, ETL workflows, and data models (Star and Snowflake schemas) across MySQL and SQL Server to support BI and ML pipelines. Implemented Power BI dashboards and integrated with Azure Databricks and Azure Synapse Analytics for near real-time analytics. Automated data delivery using Power Query, Power Automate, and Azure Data Factory; implemented Row-Level Security and sensitivity labels across reports to protect sensitive information. Developed data preprocessing with Python (Pandas, NumPy) and SQL; built dashboards for operational insights and decision support.

Education

Master’s degree in computer science at University of Alabama at Birmingham
January 11, 2030 - October 15, 2025

Qualifications

Certified Power BI developer
January 11, 2030 - October 15, 2025
Certified Scrum Master
January 11, 2030 - October 15, 2025
HashiCorp Certified: Terraform Associate (003)
January 11, 2030 - October 15, 2025
Microsoft Azure Fundamentals (AZ-900)
January 11, 2030 - October 15, 2025

Industry Experience

Financial Services, Professional Services, Software & Internet