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About me

Staff 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. Actively seeking Staff AI/LLM Engineer roles (Remote-first).

Resume

Resume

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Experience

Work History

5 roles
01

AI Solutions Architect

Current

Early-Stage AI SaaS Startup (Stealth)

Nov 2025 – Present

Architected complex Agentic AI systems utilizing LangGraph, n8n and CrewAI for advanced workflow orchestration, implementing tool-calling and output guardrails to automate high-stakes content pipelines.

30%Local search rankings improvement
70%Manual content creation effort reduction
20%Inference costs reduction
  • Engineered a multi-modal n8n agentic workflow to process structured data and unstructured visual/image assets for automated GMB content generation.
  • Architecting production-grade RAG pipelines using vector embeddings and semantic search to power AI-driven local SEO recommendations.
  • Building the end-to-end LLM Lifecycle from data curation and fine-tuning via Hugging Face to production evaluation and observability using LangSmith, RAGAS, and OpenTelemetry.
  • Delivering AI-powered storefronts using Next.js, FastAPI, and Tailwind CSS and targeting sub-1s page loads.
  • Building scalable Python and n8n ETL pipelines via Google APIs to analyze local market trends.
  • Defining greenfield platform architecture - pgvector/Pinecone, AWS/Terraform, and CI/CD automation.

Stack

LangGraphn8nCrewAINext.jsFastAPITailwind CSSpgvectorPineconeAWSTerraform
02

Engineering Lead (Hands-on)

NOPSEC INC.

Nov 2021 – Nov 2025NY – Remote

Applied Deep learning principles to fine-tune open-source LLMs using Hugging Face transformers, optimizing for domain-specific vulnerability intelligence.

20%Inference costs reduction
600msp99 response latency reduction
40%SOC team triage capacity increase
30%Deployment failures reduction
25%Team sprint velocity improvement
  • Directed the full-stack delivery of a flagship Dashboard using React, FastAPI, and Django.
  • Engineered an AI-powered automation framework utilizing pgvector for context-aware CVE prioritization.
  • Led the strategic migration of a legacy Django monolith to an event-driven architecture using FastAPI and RabbitMQ.
  • Introduced automated testing & CI/CD standards.
  • Mentored a cross-functional team of 5+ engineers and designers.
  • Spearheaded adoption of AI-Assisted Development across the SDLC.

Stack

ReactFastAPIDjangopgvectorRabbitMQAWSTerraformCursorCopilotClaude
03

Python Full Stack Developer

ZORO TOOLS INC.

Apr 2019 – Nov 2021Buffalo Grove, IL

Architected a high-concurrency data layer and RESTful APIs for a 3M+ page catalog using Django and Flask.

55%p99 latency reduction
6.3%Daily increase in organic traffic
1.3%Daily revenue lift
92%Data discrepancy errors reduction
  • Engineered SEO optimization algorithms using Pandas and Scikit-learn.
  • Engineered Django-based SCM microservices to automate inventory updates across 4M+ SKUs.
  • Developed a real-time monitoring dashboard in Vue.js and Vuex.

Stack

DjangoFlaskRedisPostgreSQLPandasScikit-learnVue.jsVuex
04

Python Full Stack Developer

NOKIA

Apr 2018 – Apr 2019Naperville, IL

Engineered a centralized security management platform for 20,000+ users ensuring 100% compliance with NSA and EU GDPR standards.

80%User provisioning efficiency increase
0%Failure rate across consecutive federal security audits
  • Architected automated workflows for Verizon Wireless infrastructure using Python and shell scripting.
  • Built and documented internal RESTful APIs that bridged legacy telecom databases with modern security auditing tools.

Stack

DjangoAngularPythonShell scriptingPytest
05

Python Developer

MOTOROLA MOBILITY LLC

Jun 2015 – Apr 2018Chicago, IL

Architected and owned the Logcat-Dashboard using Python and Django to aggregate and visualize real-time crash telemetry from millions of mobile devices.

95%Field crash detection to actionable developer visibility interval reduction
  • Engineered an automated ETL pipeline to parse terabytes of raw log data.

Stack

PythonDjango

Skills

Tech Stack

6 categories

AI & ML Engineering

Deep Learning & ML PrinciplesFine-tuning (Hugging Face)Agentic Workflow Orchestration (LangGraph, CrewAI)Multi-Modal AILLM Evaluation (RAGAS, LangSmith)Vector DBs (pgvector, Pinecone)MLOpsPrompt EngineeringLangChainOpenAILlama 3RAG PipelinesSemantic Cachingn8n

Engineering Excellence

System DesignCode ReviewsSoftware Architecture Decision RecordsTech Debt ManagementCI/CDObservability (OpenTelemetry, Prometheus, Grafana)

Backend Architecture

PythonFastAPIDjangoFlaskEvent-Driven MicroservicesREST APIs

Frontend Development

TypeScriptReactNext.jsVue.jsAngularReduxServer-Side Rendering (SSR)Tailwind CSSMantine UI

Data & Analytics

PostgreSQLRedisRabbitMQKafkaPandasScikit-learnETL Pipelines

Cloud & DevOps

AWS (Lambda, EC2, S3)GCPTerraform (IaC)DockerKubernetesCI/CDGitHub ActionsPytestAI-Assisted Development (Cursor, Copilot, Claude)

Learning

Certifications

7 credentials

Education

Academic Background

3 degrees

Campbellsville University

M.S. in Information Technology Management

2021KY

Illinois Institute of Technology

M.S. in Computer Engineering

2016Chicago, IL

Gujarat Technological University

B.E. in Electronics & Communication Engineering

2013India