Open to opportunities

Syed Raza2

@syedraza21

Message

Senior AI/ML engineer building production-grade LLM, RAG, and agentic AI systems for scalable enterprise impact.

United States

Message

What I'm looking for

I’m looking to lead end-to-end LLM/RAG and agentic AI systems—building reliable, observable pipelines while optimizing cost and latency, and partnering with cross-functional teams to ship scalable production AI.

I’m a Senior AI/ML Engineer with 10+ years of software engineering experience and 5+ years focused on production-grade machine learning, LLM systems, and agentic AI architectures. I specialize in translating complex enterprise problems into reliable, observable, and cost-efficient AI solutions.

I build end-to-end RAG pipelines—from document ingestion and chunking to embedding generation, vector indexing, and reranking—and I’ve delivered low-latency retrieval at scale. I also fine-tune and evaluate large language models, using LoRA/QLoRA and LLM-as-judge frameworks, and I design multi-agent workflows with LangGraph and LangChain.

In production, I focus on deployment quality and operational excellence: observability and tracing with LangSmith, model monitoring and drift detection, and scalable rollouts across AWS, Azure, and GCP. I’ve led engineering efforts that improved enterprise automation outcomes, reduced deployment and support burden, and accelerated model-to-production delivery.

Experience

Work history, roles, and key accomplishments

Current

Senior AI/ML Engineer

Current

Raytheon Technologies

Oct 2023 - Present (2 years 9 months)

Architected and deployed production-grade agentic AI systems using LangGraph and LangChain, including multi-agent workflows. Built end-to-end RAG pipelines, fine-tuned open-source LLMs with LoRA/QLoRA, and implemented observability with LangSmith.

LangGraph Lang Chain Agentic AI Embeddings Pinecone Pgvector Reranking LoRAs QLoRA Langsmith Observability OpenAI API

Senior AI/ML Engineer

Avanade

May 2022 - Sep 2023 (1 year 4 months)

Built event-driven AI pipelines with Apache Kafka to enable low-latency real-time inference. Led MLOps initiatives (model versioning, CI/CD, experiment tracking) and developed backend microservices to expose AI capabilities as production APIs.

Apache Kafka MLOps Model Versioning CI CD MLFlow Weights Biases fastAPI Microservices Next.js

AI/ML Engineer

Bank of America

Jun 2021 - Apr 2022 (10 months)

Designed predictive analytics models for healthcare demand forecasting and built RAG-based document retrieval systems for semantic search. Developed LLM-powered employee self-service assistants and implemented NLP pipelines for classification, NER, and sentiment analysis.

XGBoost Random Forest SARIMA Prophet LlamaIndex Weaviate Semantic Search Document Classification Named Entity Recognition Sentiment Analysis Hugging Face Transformers Apache Spark Databricks Predictive Analytics

Software Developer

National Grid

Feb 2016 - May 2021 (5 years 3 months)

Built time-series forecasting models and end-to-end ML workflows, including feature engineering, training, backtesting, and evaluation. Developed ML APIs with Python (FastAPI/Flask) and supported experiment tracking and CI/CD for automated model testing and deployment.