Lindsay Jackson
@lindsayjackson3
AI-focused senior software engineer building production-grade, compliant AI/ML systems.
United StatesWhat I'm looking for
I am a senior software engineer with 10+ years designing and deploying production-grade AI/ML systems across healthcare, fintech, and enterprise SaaS. I specialize in agentic AI workflows, LLM-driven reasoning engines, and graph-based data modeling, with deep expertise in Python, PyTorch, TensorFlow, and cloud-native AI deployments.
My accomplishments include architecting multi-agent orchestration platforms, building RAG pipelines and knowledge-graph integrations, and modernizing legacy systems into AI-first platforms that scale to millions of inference requests while maintaining robust security and compliance (HIPAA, GDPR, PCI DSS).
I thrive delivering end-to-end MLOps, low-latency inference, and multi-region cloud infrastructure using Kubernetes, Terraform, and managed services, and I mentor teams to adopt agentic workflows, safe experimentation, and production-grade observability.
Experience
Work history, roles, and key accomplishments
Senior Software Engineer
Softeq Consulting
Jan 2025 - Present (1 year 5 months)
Architected a multi-agent orchestration platform and RAG pipelines for healthcare workflows, achieving sub-second clinical dictation latency and scaling multi-region AWS infrastructure to support tens of millions of inference requests/month with >99.99% uptime.
AI/ML Engineer
EPoq Legal US
Sep 2023 - Jan 2025 (1 year 4 months)
Designed an LLM-powered agent ecosystem with persistent memory and graph-based sitter matching, deployed containerized AI microservices on Kubernetes and SageMaker, and introduced multi-tenant MLOps with rollout gating for safe production experiments.
Built image-analysis and generative image enhancement agents for financial document processing, integrated graph databases for relationship modeling, and modernized ETL with dbt and Snowflake to scale document AI to millions of records.
Developed real-time inventory forecasting and graph-powered recommendation engines, deployed predictive AI workflows on SageMaker and Kubernetes, and reduced per-store out-of-stock incidents by 28%.
Built reinforcement-learning driven adaptive learning agents and graph-based recommendation engines, implemented real-time classroom orchestration and speech-enabled accessibility features, and deployed scalable AI dashboards for education analytics.
Education
Degrees, certifications, and relevant coursework
Virginia State University
Bachelor of Science, Mechanical Engineering
2010 - 2014
Completed a Bachelor of Science in Mechanical Engineering, focusing on foundational engineering principles and applied problem-solving.
Tech stack
Software and tools used professionally
D3.js
GitHub
GitLab
Kubernetes
Jenkins
GitHub Actions
GitLab CI
React Native
dbt
DB
MySQL
PostgreSQL
MongoDB
Gmail
Rollout
Node.js
Django
.NET Core
.NET
ASP.NET Core
Databricks
Neo4j
Redis
Terraform
Azure DevOps
Jackson
JavaScript
ASP.NET
TensorFlow
PyTorch
MLflow
Neptune
Kafka
RabbitMQ
FastAPI
Grafana
Prometheus
GraphQL
SignalR
gRPC
Elasticsearch
Kafka Streams
Airflow
GuardRails
SQL
Hugging Face
LangChain
LlamaIndex
Weaviate
Weights & Biases
Pinecone
CrewAI
Instructor
Agentic
Enhance
LangGraph
Depot
Availability
Location
United StatesAuthorized to work in
Social media
Job categories
Skills
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