Sr AI/ML Data Engineer | Cloud Data Platforms | LLMOps & Agentic RAG | Streaming Pipelines | Data Engineering | Multi-Cloud Architect | Performance Engineering | AI Systems / Platform Engineering (FinTech + Healthcare)
📍 Florida, USA
I am an AI/ML Data engineer and Data Platform Architect with 2+ years of experience building and deploying critical data systems across financial services and healthcare environments, with specialized expertise in scalable data pipelines and cloud-native data platforms. Proven record of architecting data platforms that transform complex transactional and operational data into reliable datasets for analytics, reporting, and decision support.
Specialized in Python and SQL-based data engineering, ETL/ELT pipelines, batch and streaming processing, data modeling, and cloud platforms. Experienced in designing end-to-end data workflows from data ingestion and transformation to orchestration, CI/CD automation, and production monitoring across distributed systems.
My work focuses on applying Artificial Intelligence and machine learning techniques to improve the reliability, performance, and diagnostics of complex mission-critical software systems. I combine deep software engineering expertise with applied AI research, building intelligent systems that integrate machine learning, telemetry analytics, and automated diagnostics.
- 📋 Microsoft Azure AI Engineer
- 🧠 NVIDIA – Generative AI with LLMs
- 🎓 Harvard University – Data Privacy and Technology
- 🔐 SANS – Security Awareness
- 📊 Splunk – Data Analytics Certification
- 📋 Scrum Alliance – Certified ScrumMaster
🏅 IEEE Senior Member
🏆 IEEE Computer Society Top 30 Early Career Professionals 2025
🚀 NASA Space Apps Navigator
🛰 AIAA SciTech Conference Author
🛰 Small Satellite Conference Research Author
🌎 Hackathon Judge
• NASA Space Apps Challenge
• Carnegie Mellon TartanHacks
• CodeQuest
• Credit Connect Technology Awards
• Risk Technology Awards
• AI-Driven Mission-Critical Software Optimization for Small Satellites: Integrating Automated Testing Framework
Small Satellite Conference 2025
https://digitalcommons.usu.edu/smallsat/2025/all2025/124/
• AI-Driven Fault Detection & Reliability Diagnostics for Spacecraft Using SimuPy and Random Forest
AIAA SciTech 2026
https://arc.aiaa.org/doi/abs/10.2514/6.2026-2263.c1
• https://ieeexplore.ieee.org/document/11391017
• https://ieeexplore.ieee.org/document/11337620
• https://ieeexplore.ieee.org/document/11337391
• https://ieeexplore.ieee.org/document/11304649
• https://ieeexplore.ieee.org/document/11296166
• https://ieeexplore.ieee.org/document/11139916
Sr AI/ML Engineer
FinTech Platform Engineering
Architected and deployed an Agentic AI-Driven Performance Intelligence & Diagnostics Platform for enterprise financial systems to proactively detect system degradation and optimize operational performance.
Key contributions
• Built production AI services using Python + FastAPI exposing REST endpoints for AI agents, retrieval queries, and ML inference.
• Designed telemetry feature engineering pipelines using Pandas, NumPy, PyTorch and TensorFlow generating rolling statistics and anomaly indicators.
• Trained ML models including Random Forest, XGBoost, and SVM with scikit-learn using cross-validation and ROC-AUC optimization.
• Implemented Retrieval-Augmented Generation (RAG) pipelines using Azure OpenAI embeddings and vector search (FAISS / Azure Cognitive Search).
• Developed LangChain / LangGraph agent workflows integrating contextual retrieval, model inference, and automated diagnostics.
• Containerized ML services using Docker and deployed to Kubernetes/OpenShift with CI/CD automation.
• Integrated observability and monitoring using Splunk and Dynatrace to track model performance and API latency.
Impact
• Reduced diagnostic response latency by 25%
• Reduced alert noise and manual investigation effort by 30-35%
• Improved reliability of critical financial systems
Technologies Python • FastAPI • PyTorch • TensorFlow • scikit-learn • LangChain • LangGraph • Azure OpenAI • RAG • Vector Search • Docker • Kubernetes • Jenkins • GitHub Actions • Splunk • Dynatrace
Sr Engineer – Data, AI/ML
Healthcare Insurance Platforms
Developed large-scale healthcare claims processing and analytics systems supporting distributed insurance workflows.
Designed and implemented systems for ingestion, transformation, validation, and analytics of large healthcare claims datasets.
Key Contributions
• Built scalable ETL and data engineering pipelines using Python to ingest, transform, normalize, and enrich structured healthcare claims data.
• Developed analytics and ML-driven workflows using Pandas, NumPy, and scikit-learn to detect anomalies and generate risk indicators across claims datasets.
• Implemented classification-based modeling experiments and statistical feature extraction for healthcare claims trend analysis using BigQuery.
• Integrated Google Cloud Platform services (BigQuery, GCS) with orchestration through Cloud Composer (Apache Airflow).
• Developed REST-based microservices using C#/.NET and Python APIs to support distributed healthcare workflows.
• Containerized services using Docker and Kubernetes/OpenShift, enabling CI/CD-driven deployments and scalable processing pipelines.
• Implemented structured logging, exception handling, and observability integrations to ensure reliability across healthcare data systems.
Impact
• Reduced manual claims review cycles by ~30%
• Improved claims validation accuracy and anomaly detection
• Accelerated processing of millions of healthcare claims records
Technologies
Python • Pandas • NumPy • scikit-learn • Google Cloud Platform (BigQuery, GCS) • Cloud Composer • Apache Airflow • SQL • Docker • Kubernetes • C# • .NET Core • REST APIs • CI/CD
Sr Full Stack Developer
FinTech Digital Banking Platforms
Developed enterprise applications supporting digital banking services and customer interaction platforms across financial systems.
Designed and implemented an automated customer support chatbot platform to handle high-volume banking inquiries and reduce dependency on manual support workflows.
Key Contributions
• Designed and developed a full-stack chatbot platform enabling automated handling of common financial service queries across banking applications.
• Implemented intent classification and keyword-based response routing to deliver real-time automated responses to frequently asked banking questions.
• Developed backend services using C#, .NET Framework, and ASP.NET MVC, exposing APIs for chatbot request processing and response delivery.
• Built interactive frontend components using Angular, JavaScript, HTML, and AJAX to support user interactions within digital banking interfaces.
• Designed database schemas and REST services to manage conversation logs, response templates, and support workflows.
• Integrated chatbot services with banking platforms to improve automated customer engagement and streamline support processes.
Impact
• Reduced customer support ticket volume by ~40%
• Improved response time for customer inquiries across digital banking channels
• Increased automation of repetitive customer service interactions
Technologies
C# • .NET Framework • ASP.NET MVC • Angular • JavaScript • HTML • AJAX • REST APIs • SQL Server
Sr Full Stack Developer
Capital Markets & Enterprise IT Platforms
Developed enterprise platforms supporting capital markets compliance systems and internal enterprise asset lifecycle management solutions.
Designed and developed a regulatory validation platform to ensure capital market trades were executed in compliance with SEC regulations before trade placement.
Key Contributions
• Designed and implemented rule-based validation systems enforcing SEC trading regulations prior to execution.
• Developed dynamic compliance questionnaires and validation logic to verify regulatory requirements for capital market transactions.
• Integrated internal and external APIs to retrieve trade metadata, counterparty details, and regulatory parameters for automated validation.
• Implemented API-driven trade ingestion pipelines to perform automated compliance verification before transaction submission.
• Developed backend services and validation workflows using C#, .NET Core, and ASP.NET MVC, ensuring scalability and maintainability.
Impact
• Reduced regulatory validation errors by ~30%
• Minimized manual compliance review cycles
• Improved trade processing accuracy across high-volume capital market workflows
Developed a centralized Life Cycle Management System (LCMS) to manage provisioning, allocation, tracking, and decommissioning of enterprise IT assets across business units.
Key Contributions
• Designed API-driven workflows supporting asset issuance approvals, lifecycle state transitions, and governance compliance.
• Implemented asset tracking systems to manage laptop and mobile device allocation across enterprise teams.
• Built backend services to support inventory reconciliation, asset auditing, and lifecycle traceability.
• Developed UI components using Angular and Kendo UI to manage asset workflows and reporting interfaces.
Impact
• Improved enterprise asset tracking accuracy and governance compliance
• Reduced manual asset management overhead across internal IT operations
Technologies
C# • .NET Core • ASP.NET MVC • REST APIs • SQL Server • Angular • Kendo UI • Telerik • JSON • TIBCO • SSIS • SSRS
Sr Full Stack Developer
International Wealth Management & Capital Markets Systems
Developed enterprise banking applications supporting international wealth management trading platforms and portfolio management systems across global financial operations.
Designed and implemented enterprise modules supporting front-office trade processing workflows for international wealth management systems.
Key Contributions
• Developed backend services and application modules supporting trade capture, validation, and portfolio management workflows across global wealth management platforms.
• Implemented REST and WCF service integrations connecting trade capture systems, portfolio management platforms, and downstream reporting systems.
• Designed data processing logic for trade filtering, stratification, and reconciliation, ensuring consistency across trading and investment systems.
• Built enterprise UI components and service layers enabling real-time processing of trade transactions across distributed banking platforms.
• Integrated systems across multiple financial services platforms to maintain accurate trade execution and portfolio alignment.
Impact
• Improved trade data consistency across wealth management platforms
• Reduced reconciliation discrepancies in high-volume trading environments
• Enhanced operational accuracy across global investment systems
Technologies
C# • .NET Framework • ASP.NET MVC • Entity Framework • ADO.NET • REST APIs • WCF • SQL Server • SSIS • SSRS • Angular • JavaScript • Messaging Queues
Full Stack Developer
Global Supply Chain & Logistics Platforms
Contributed to the development of enterprise logistics systems supporting global supply chain operations, shipment tracking, and inventory management workflows.
Designed and developed enterprise modules for a global logistics management platform supporting order processing, shipment tracking, and delivery lifecycle coordination across distributed operations.
Key Contributions
• Developed enterprise modules using ASP.NET MVC and Web Forms to manage shipment creation, routing updates, and status transitions across logistics workflows.
• Built backend services and integration layers supporting order processing, shipment tracking, and inventory coordination across distributed logistics platforms.
• Implemented SQL-driven reporting systems to provide operational visibility into shipment status, order processing metrics, and logistics performance.
• Integrated logistics workflows with enterprise backend services enabling data synchronization across supply chain management systems.
• Developed customer-facing interfaces enabling real-time shipment tracking and delivery lifecycle monitoring.
Impact
• Improved shipment tracking accuracy across logistics operations
• Increased order processing efficiency and operational visibility
• Reduced manual coordination across distributed supply chain workflows
Technologies
C# • .NET Framework • ASP.NET MVC • Web Forms • SQL Server • T-SQL • SSIS • SSRS • SSAS • Angular • JavaScript • Tibco • IIS • Windows Services
Website
https://priyadevarajulu.pages.dev
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