Suvarna G
Data Scientist, Generative AI & Data Platform Engineer with 8+ years driving AI-driven solutions across finance, retail, and technology. Expert in LLMs, RAG, MLOps, and cloud-scale data engineering.
Professional Summary
Results-oriented Gen AI & Data Engineer with 8+ years of experience designing and implementing AI-driven data solutions. Expertise spans Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and data engineering using Apache Airflow, Spark, and AWS Redshift.
Built end-to-end AI pipelines integrating Python, AWS, and modern MLOps practices to deliver scalable, secure, high-performance applications. Passionate about leveraging Generative AI to unlock business insights and enable data-driven decision-making.
8+
Years Experience
40%
Response Time Reduction
300
Staff-Hours Saved
Core Technical Expertise
Generative AI & LLMs
Fine-tuning pre-trained models, RAG implementation, GPT-3 integration, and domain-specific LLM deployment for enterprise applications.
Cloud & Data Engineering
AWS Redshift, Apache Spark, Airflow, Kafka for building scalable ETL pipelines and real-time analytics systems.
MLOps & Automation
CI/CD for ML models, automated deployment pipelines, reducing model deployment times from days to hours.
Programming & Tools
Python, SQL, Kubernetes, Docker, Snowflake, Django, and modern data science frameworks for production-grade solutions.
FSNB - Fort Sill National Bank
Data Scientist / Gen AI Engineer | May 2024 - Present
LLM RAG Application
Deployed production-scale RAG system reducing customer inquiry response times by 40% and boosting CSAT scores significantly.
Loan Processing Automation
Automated workflow using Python and AWS Lambda, saving 300+ staff-hours per quarter with 25% accuracy improvement.
Compliance AI
Fine-tuned domain-specific LLMs for compliance teams, achieving 2x improvement in contract review speed and reducing regulatory risks.
GameStop Experience
AI/ML Engineer / Data Scientist | October 2022 - April 2024
Developed and deployed AI and ML solutions using Python, AWS, and LLMs to automate data processing and enhance decision-making in retail and financial domains.
Built scalable cloud applications, ETL pipelines, and recommendation systems powered by GPT-3 and RAG, improving prediction accuracy and operational efficiency across the organization.
Cloud Solutions
AWS-based scalable applications
ETL Pipelines
Automated data workflows
AI Systems
GPT-3 powered recommendations
Gateway First Bank
Data Engineer | August 2020 - September 2022
01
Real-Time Pipelines
Developed data pipelines using Apache Kafka and Spark for automated claims processing and risk evaluation.
02
ETL Workflows
Built AWS-based ETL workflows to streamline fraud detection and improve data reliability across systems.
03
ML Analytics
Implemented ML-driven analytics to enhance security, scalability, and operational efficiency in banking operations.
Earlier Career Highlights
1
Jasco Products | Data Engineer
October 2018 - July 2020
Developed centralized data warehouse using AWS Redshift and Apache Airflow. Created Tableau dashboards enabling data-driven insights for retail operations.
2
Aggieland Outfitters | Python Developer
May 2017 - September 2018
Optimized Python applications and data automation scripts. Designed dynamic interfaces with Django and implemented SQL-driven workflows with Jenkins integration.
Key Achievements & Impact
40%
Response Time Reduction
Customer inquiry handling improvement
2x
Review Speed
Contract review efficiency gain
25%
Accuracy Boost
Loan review precision increase
Operational Excellence
- Saved 300+ staff-hours per quarter through automation
- Cut model deployment times from days to hours
- Accelerated project delivery by 3 months through mentorship
Technical Innovation
- Built production-scale LLM RAG applications
- Implemented real-time fraud detection systems
- Enabled continuous delivery for AI features
Education & Credentials
Master's Degree
Computer Science
University of Northern Virginia - Annandale
Advanced studies in AI, machine learning, and data engineering methodologies.
Bachelor's Degree
Computer Science
Andhra University
Foundation in computer science fundamentals, algorithms, and software engineering principles.
Let's Connect
Looking for an AI/ML leader with hands-on expertise in cloud, LLMs, data engineering, and MLOps? I'm ready to drive value at scale and transform your data into actionable insights.
Open to W2/Full-time opportunities in McKinney, Texas and surrounding areas.
Top Skills
- Data Science
- Kubernetes
- Apache Spark
Location
McKinney, Texas, United States