Brij Pandey
Concord,NC
Summary
Principal Engineer and Architect with extensive experience in designing and building scalable, cloud-native systems. Strong expertise in AWS services and Python development combined with a focus on reliability, cost optimization, and operational excellence. Collaborates effectively with cross-functional teams to deliver robust, secure, and explainable solutions.
Overview
17
17
years of professional experience
Work History
Principal Architect - Generative AI
Wells Fargo
08.2025 - Current
- Led enterprise architecture for secure, scalable platforms enabling GenAI, agentic systems, and classical ML workloads.
- Architect production-grade LLM, RAG, and multi-agent solutions that integrate traditional ML with LLM-based reasoning, delivering explainable outcomes in regulated financial environments.
- Drove cloud-native execution and ensured platform reliability through collaboration with engineering, security, and business stakeholders; applied system design principles for enhanced observability and operational excellence.
Principal AI Engineer
ADP
12.2019 - 08.2025
- Led prompt engineering, fine-tuning, and backend integration for production GenAI services, embedding explainability and responsible AI practices into delivery lifecycle.
- Built end-to-end MLOps pipelines and CI/CD workflows, enabling rapid and secure iteration and deployment of models and services.
- Designed and built cloud-native microservices and serverless architectures on AWS using Lambda, Fargate, and SQS, reducing infrastructure costs and system downtime while maintaining high availability.
- Optimized Python-based data processing pipelines to increase throughput by 45% and support real-time analytics workloads.
- Wrote Infrastructure as Code and production code, mentoring engineers on LLMOps, agentic system design, and reliable cloud engineering practices.
- Collaborated cross-functionally with product, SRE, and security teams to align technical solutions with enterprise reliability and compliance goals.
Data Engineer / Python Data Engineer
CGI
05.2017 - 12.2019
- Architected and implemented scalable data pipelines using Airflow, Kafka, and Python capable of processing billions of records efficiently.
- Leveraged PySpark, Kafka, and Elasticsearch for optimized big-data processing and analysis; developed a persistent Data-as-a-Service (DaaS) system ensuring 24/7 availability.
- Delivered scalable, resilient data solutions using AWS Lambda, ECS, and DynamoDB; employed containerization with Docker and Kubernetes for effective deployment and management.
- Designed and built high-performance RESTful APIs with Python (Flask) and AWS API Gateway, enhancing enterprise application capabilities.
- Led migration of monolithic applications to microservices architecture using AWS, Python, Go, and Flask, enhancing scalability and maintainability.
- Implemented microservices with Go, RPC, AMQP, and Nameko, enhancing modularity and operational resilience across systems.
Full Stack Engineer (Python)
Cognizant
01.2016 - 08.2016
- Architected and developed a distributed Crew Management System using Python, Django, and RabbitMQ with real-time data processing and visualization for operational decision-making.
- Designed data pipelines and analytics workflows using Pandas, NumPy, and Matplotlib; optimized database operations with complex SQL and stored procedures for enhanced data accessibility.
- Delivered full-stack solutions by integrating Python backend services with JavaScript frontends to improve user experience and application performance.
Senior Python Developer
Cognizant
04.2012 - 01.2016
- Led development of IVORI (Independent Valuation Reporting Infrastructure), a strategic financial reporting platform, using Python, WxPython, and Flask, enhancing financial reporting capabilities.
- Engineered efficient data pipelines and migrated complex ETL processes from Informatica to Python (Pandas), significantly improving system performance and maintainability.
- Implemented Test-Driven Development practices and raised unit test coverage, elevating overall code quality and reliability.
- Collaborated with cross-functional teams and clients to deliver mission-critical financial applications and implement enhancements, ensuring timely project execution.
Backend Engineer
Cognizant Technology Solutions
06.2009 - 04.2012
- Led development of Amex Personalization Utility, enhancing product and service marketing capabilities using Java and Python.
- Engineered automated solutions for data-related tasks and content management that saved approximately 80 man-hours per week.
- Developed an Employee Roster Management system for 3M as a full-stack contributor using Java, JavaScript, Spring, HTML, and CSS.
- Cultivated client relationships and provided regular status updates on strategic projects.
Education
Bachelor of Technology (B.Tech.) - Electrical and Electronics Engineering
SRM University
Skills
- AWS Lambda
- Fargate
- ECS
- SQS
- DynamoDB
- API Gateway
- S3
- CloudWatch
- IAM
- VPC
- Infrastructure automation
- CI/CD pipelines
- Docker
- Kubernetes
- Serverless architecture
- Python
- SQL
- Kafka
- Airflow
- PySpark
- Elasticsearch
- Real-time processing
- System Design
- Microservices
- API design
- Event-driven systems
- Observability
- Cost Optimization
Accomplishments
Saved $500K annually by optimizing cloud resource allocation and rightsizing strategies., Led team to achieve 99.9% uptime for production AI-driven and cloud services., Implemented AI solutions that increased fraud detection accuracy by 55%., Designed Hybrid RAG system combining vector + keyword retrieval, improving accuracy 60%+.
Languages
- English (Native)
- Hindi (Native)
- German (Advanced)
- Bhojpuri
Core Technical Skills
Lambda, Fargate, ECS, SQS, DynamoDB, API Gateway, S3, CloudWatch, IAM, VPC, Terraform & Infrastructure as Code, CI/CD pipelines, Docker, Kubernetes, serverless deployment patterns, Python (primary), Go, Java, SQL, Shell scripting, Kafka, Airflow, RabbitMQ, AMQP, Pandas, PySpark, Elasticsearch, real-time pipelines, System Design, Microservices, RESTful API Design, Event-Driven Architecture, Observability, Cost Optimization
Timeline
Principal Architect - Generative AI
Wells Fargo
08.2025 - Current
Principal AI Engineer
ADP
12.2019 - 08.2025
Data Engineer / Python Data Engineer
CGI
05.2017 - 12.2019
Full Stack Engineer (Python)
Cognizant
01.2016 - 08.2016
Senior Python Developer
Cognizant
04.2012 - 01.2016
Backend Engineer
Cognizant Technology Solutions
06.2009 - 04.2012
Bachelor of Technology (B.Tech.) - Electrical and Electronics Engineering
SRM University