Nitinkumar Patel

Staff SW/AI/LLM Engineer

South Elgin, IL 60177

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Professional Summary

Staff SW/AI/LLM Engineer with 12+ years building high-scale distributed systems and production Generative AI (GenAI) platforms. Built and led teams of 5+ engineers to ship Retrieval-Augmented Generation (RAG) pipelines, multi-agent workflows, and full-stack SaaS products achieving 95% accuracy, 20% cost reduction, and 99.99% availability. Driven by a belief that stable, well-architected systems free teams to move fast and think big, not worry about what might break. Seeking SWE, Staff Engineer or AI/LLM Engineer roles (Remote-first).

Professional Experience

AI Solutions Architect

AI SaaS Project Nov 2025 – Present
  • Agentic AI: Architected complex Agentic AI systems utilizing LangGraph and CrewAI for advanced workflow orchestration, implementing tool-calling and output guardrails to automate high-stakes content pipelines - improving local search rankings by 30% for pilot users.
  • LLM Workflows: Engineered a multi-modal agentic workflow to process structured data and unstructured visual/image assets for automated GMB content generation, improving local search rankings.
  • RAG Pipeline & Vector Search: Architecting production-grade RAG pipelines using vector embeddings and semantic search to power AI-driven local SEO recommendations, handling chunking strategy, embedding model selection, and retrieval quality tuning.
  • Evaluation & Observability: Building the end-to-end LLM Lifecycle from data curation and fine-tuning via Hugging Face to production evaluation and observability using LangSmith, reducing inference costs by 20%.
  • Full-Stack Product Delivery: Delivering AI-powered storefronts using Next.js, FastAPI, and Tailwind CSS and targeting sub-1s page loads, contributing end-to-end across React UI, Python microservices, and cloud inference endpoints.
  • Automated Data Pipelines: Building scalable Python ETL pipelines via Google APIs to analyze local market trends, feeding structured consumer behavior data into AI recommendation workflows.
  • Platform Architecture & Infrastructure: Defining greenfield platform architecture - pgvector/Pinecone, AWS/Terraform, and CI/CD automation - using open standards and modern GenAI tooling with no legacy constraints.
LangGraph CrewAI RAG Hugging Face LangSmith Python FastAPI React Next.js pgvector

Engineering Lead (Hands-on)

NOPSEC INC. | NY – Remote (Cybersecurity SaaS) Nov 2021 – Nov 2025
  • GenAI Strategy: Applied Deep learning principles to fine-tune open-source LLMs (Llama, Mistral) using Hugging Face transformers, optimizing for domain-specific vulnerability intelligence. Defined technical strategy for a multi-stage RAG pipeline using LangChain, automate vulnerability intelligence for 500k+ records; achieved a 20% reduction in inference costs via semantic caching and reduced p99 response latency by 600ms.
  • Product Leadership: Directed the full-stack delivery of a flagship Dashboard using React, FastAPI, and Django. Leveraged FastAPI for high-performance AI endpoints and Django for robust core platform management, improving user decision-making speed and decreasing initial page load by 40%.
  • Intelligent Automation: Engineered an AI-powered automation framework utilizing pgvector for context-aware CVE prioritization, achieving 95% accuracy and increasing SOC team triage capacity by 40% without additional headcount.
  • Infrastructure Evolution: Led the strategic migration of a legacy Django monolith to an event-driven architecture using FastAPI and RabbitMQ. Deployed via Terraform on AWS Lambda, resulting in 99.99% availability and a 30% boost in developer velocity.
  • Process & Culture: Introduced automated testing & CI/CD standards that reduced deployment failures by 30% and improved team sprint velocity by 25%.
  • Team Leadership: Mentored a cross-functional team of 5+ engineers and designers, building a culture of psychological safety and technical clarity through rigorous code review standards and architecture workshops - resulting in 2 internal promotions to Senior level within 12 months.
  • Developer Velocity: Spearheaded adoption of AI-Assisted Development (Cursor/Copilot) across the SDLC and overhauled the onboarding process, reducing ramp-up time from 3 weeks to 4 days.
LangChain RAG Llama Hugging Face FastAPI Django React pgvector RabbitMQ AWS

Python Full Stack Developer

ZORO TOOLS INC. | Buffalo Grove, IL Apr 2019 – Nov 2021
  • High-Scale Software Architecture: Architected a high-concurrency data layer and RESTful APIs for a 3M+ page catalog using Django and Flask. Slashed p99 latency by 55% via Redis caching and PostgreSQL query optimization, successfully sustaining a 300% YoY traffic surge (10k+ concurrent users).
  • Growth Engineering & UI: Engineered SEO optimization algorithms using Pandas and Scikit-learn, served via Flask microservices to a Vue.js frontend. This software architecture drove a 6.3% daily increase in organic traffic and a 1.3% lift in daily revenue.
  • System Reliability & Dashboards: Engineered Django-based SCM microservices to automate inventory updates across 4M+ SKUs, reducing data discrepancy errors by 92%. Developed a real-time monitoring dashboard in Vue.js and Vuex that eliminated manual reconciliation for the procurement team.
Python Django Flask Vue.js PostgreSQL Redis

Python Full Stack Developer

NOKIA | Naperville, IL Apr 2018 – Apr 2019
  • Security & Compliance: Engineered a centralized security management platform for 20,000+ users ensuring 100% compliance with NSA and EU GDPR standards. Developed the backend in Django and a high-performance frontend in Angular to provide real-time visibility into cross-border compliance health.
  • Infrastructure Automation: Architected automated workflows for Verizon Wireless infrastructure using Python and shell scripting, increasing user provisioning efficiency by 80%. Maintained a 0% failure rate across consecutive federal security audits through rigorous automated validation and Pytest-driven unit testing.
  • System Integration: Built and documented internal RESTful APIs that bridged legacy telecom databases with modern security auditing tools, enabling seamless, real-time data synchronization between US-based infrastructure and EU regulatory reporting layers.
Python Django Angular Pytest

Python Developer

MOTOROLA MOBILITY LLC | Chicago, IL Jun 2015 – Apr 2018
  • Scale Engineering: Architected and owned the Logcat-Dashboard using Python and Django to aggregate and visualize real-time crash telemetry from millions of mobile devices – enabling firmware regression detection that directly prevented potential mass-market recalls.
  • Data Pipeline Optimization: Engineered an automated ETL pipeline to parse terabytes of raw log data, cutting the ‘field crash detection’ to ‘actionable developer visibility’ interval by 95% - shifting resolution time from days to minutes.
Python Django

Technical Skills

AI & ML Engineering

Deep Learning & ML Principles Fine-tuning (Hugging Face) Agentic Workflow Orchestration (LangGraph, CrewAI) Multi-Modal AI LLM Evaluation (RAGAS, LangSmith) Vector DBs (pgvector, Pinecone) MLOps Prompt Engineering LangChain OpenAI Llama 3 RAG Pipelines Semantic Caching.

Engineering Excellence

System Design Code Reviews Software Architecture Decision Records Tech Debt Management CI/CD Observability (OpenTelemetry, Prometheus, Grafana)

Backend Architecture

Python FastAPI Django Flask Event-Driven Microservices REST APIs

Frontend Development

TypeScript React Next.js Vue.js Angular Redux Server-Side Rendering (SSR) Tailwind CSS Mantine UI

Data & Analytics

PostgreSQL Redis RabbitMQ Kafka Pandas Scikit-learn ETL Pipelines

Cloud & DevOps

AWS (Lambda, EC2, S3) GCP Terraform (IaC) Docker Kubernetes CI/CD GitHub Actions Pytest AI-Assisted Development (Cursor, Copilot)

Certifications & Learning

In Progress

  • Andrej Karpathy’s Neural Networks: Zero to Hero
  • AI Builder: Create Agents - Voice Agents & Automations in n8n - Ed Donner

Education

M.S. in Information Technology Management

Campbellsville University, KY | 2021

M.S. in Computer Engineering

Illinois Institute of Technology, Chicago, IL | 2016

B.E. in Electronics & Communication Engineering

Gujarat Technological University, India | 2013

Get In Touch

I'm always open to discussing new opportunities and interesting projects.

✉️ npatel121.py@gmail.com 📞 +1 (484) 447-7008 💼 LinkedIn Profile 💻 GitHub Profile