I N T R O D U C I N G

ARYVEER SRIVASTAV

AI AUTOMATION & WORKFLOW ENGINEER
Applied AI • Agentic Workflows • LLM Infrastructure • Backend Systems • Automation Operations
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PORTFOLIO
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PORTFOLIO
Engineering
01 / ARCHITECTURE

CORE SPECIALIZATIONS

01

AI & LLM ENGINEERING

  • Prompt Engineering
  • LLM Orchestration
  • Conversational AI Systems
  • Agentic AI Workflows
  • AI Process Automation
  • Structured JSON Outputs
  • Multi-Step Prompt Chaining
  • AI Evaluation & Optimization
02

AUTOMATION ENGINEERING

  • Workflow Automation
  • n8n Automation Systems
  • Zapier Infrastructure
  • Webhook Architectures
  • API Integrations
  • CRM Workflow Automation
  • Multi-Step Operational Pipelines
  • AI Routing Systems
03

BACKEND & SYSTEMS

  • Distributed Systems
  • Event-Driven Architectures
  • Kafka Message Processing
  • Spring Boot Microservices
  • REST API Integration
  • SQL Persistence Layers
  • Transaction Processing Systems
  • System Reliability Engineering
02 / STATISTICS

OPERATIONAL IMPACT

0+ Inbound Leads Processed Weekly
0+ Outreach Touchpoints Weekly
<0s Response Latency (Down from 4h)
0% Lead-to-Meeting Conversion Gain

AI OUTREACH & LEAD AUTOMATION

  • Generated 3x higher engagement compared to static outreach systems.
  • Reduced repetitive outreach operations by 70%.
  • Automated lead response from click to contact instantly.

WORKFLOW AUTOMATION

  • Built 10+ production-grade automation workflows.
  • Reduced repetitive operational workload by 15–20 hours weekly.
  • Unified APIs, CRMs, webhooks, and automation platforms.

AI SYSTEM OPTIMIZATION

  • Engineered 30+ structured prompt architectures.
  • Improved AI workflow consistency by 40%.
  • Reduced hallucination frequency by 35%.

SYSTEMS & DATA SCIENCE

  • Applied cloud scaling on AWS Elastic Beanstalk for high-growth pipelines.
  • Integrated Kafka queues into transactional microservices for data integrity.
  • Structured GenAI risk-evaluation models for Tata iQ analytics.
03 / INDEX

SELECTED PROJECTS

Distributed Transactions

Distributed Transaction Processing System

Kafka • Spring Boot • SQL • REST APIs

JPMorganChase Job Simulation
AWS Infrastructure

AWS Scalable Infrastructure Architecture

Elastic Beanstalk • Auto-Scaling • Cloud Config

Architectural Design
Tata iQ Analytics

GenAI Predictive Analytics Framework

Agentic Systems • Risk Assessment • Data Visualization

Tata iQ Data Simulation
Cyber Threat Detection

Cyber Threat Detection & Log Analysis

Anomaly Detection • Log Audits • Incident Workflows

Deloitte Cybersecurity Simulation
Business Intelligence

Business Intelligence & Analytics

Tableau Dashboards • Reporting • EDA

Deloitte Analytics Simulation
04 / STACK

TECH STACK

AI & AUTOMATION

ChatGPT Claude Gemini n8n Zapier AI Agents Prompt Engineering LLM Pipelines

PROGRAMMING & BACKEND

Python Java Spring Boot REST APIs JSON SQL Kafka

CLOUD & INFRASTRUCTURE

AWS Elastic Beanstalk Webhooks API Integrations Workflow Infrastructure

DATA & ANALYTICS

Tableau Excel Predictive Analytics EDA Data Visualization Reporting Systems
05 / OVERVIEW

MORE ABOUT ARYVEER

Aryveer Srivastav

AI Automation & Workflow Engineer

Autonomous Agentic Workflows • LLM Infrastructure

Aryveer Srivastav Portrait

PROFILE

AI Automation & Workflow Engineer specializing in autonomous agentic workflows, LLM-integrated systems, backend infrastructure, and scalable AI operations. Experienced in building scalable automation frameworks that transform business bottlenecks into intelligent, measurable, AI-driven operational pipelines.

PROFESSIONAL EXPERIENCE

Independent AI Automation & Workflow Engineer 2024 - Present

Freelance & Project-Based

Designed and deployed AI-integrated workflow systems combining LLM orchestration, backend automation, API integrations, CRM workflows, and operational AI systems for scalable business automation.

  • Built autonomous lead qualification systems.
  • Designed AI-powered outreach infrastructures.
  • Integrated LLM workflows into operational systems.
  • Automated CRM and business processes.
  • Engineered scalable automation pipelines.
  • Developed structured AI response architectures.
Artificial Intelligence Intern – Clinchstack Solutions 2023 - 2024

Internship

  • Collaborated on AI-integrated operational systems involving automation pipelines, workflow orchestration, and prompt engineering.
  • Supported deployment of AI-driven systems improving execution speed, operational scalability, and workflow consistency.

EDUCATION

University of the People Expected 2029

Bachelor of Science in Computer Science

CERTIFICATIONS & SIMULATIONS

  • AWS APAC Solutions Architecture Program
  • JPMorganChase Software Engineering Simulation
  • Tata GenAI Powered Data Analytics Simulation
  • Deloitte Australia Cyber Security Simulation
  • Deloitte Australia Data Analytics Simulation
REPRESENTING EXCELLENCE IN AI SYSTEM DEPLOYMENT
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