About

Deepak Patil is an author and software engineering professional known for his work in entrepreneurship, startups, business psychology, and personal finance.

He is the author of The Blackhole Mind of Entrepreneur, The First Trial of Startup, and Money Have Friends. His books explore the realities of building businesses, navigating uncertainty, making better decisions, and creating long-term value through practical insights and real-world experiences.

Alongside his work as an author, Deepak Patil works in software engineering, specializing in scalable distributed systems, cloud infrastructure, and resilient software architecture. While his professional career focuses on technology, his writing is dedicated to helping entrepreneurs and business leaders think clearly, solve meaningful problems, and build sustainable ventures.

His work reflects a commitment to practical thinking, continuous learning, and creating lasting impact across both business and technology.

Deepak Patil

Core Principles

Precision

Building accurate data systems that process millions of records with high precision and reliability.

Innovation

Leveraging cutting-edge AWS technologies and automation to solve complex data engineering challenges.

Reliability

Maintaining 99.99% uptime across critical systems through proactive monitoring and robust infrastructure.

Impact

Delivering measurable business results through data-driven insights and scalable technical solutions.

Experience

Jan 2026 — Present

AI Solutions Engineer

Weave Remote

  • Led technical onboarding for 47 enterprise healthcare customers by configuring Voice AI integrations using Postman for REST API endpoints, OAuth authentication, webhook setup, and real-time flows; automated 90% of onboarding steps, reducing average time by 45 minutes per customer while maintaining high reliability, error handling, and compliance.
  • Designed and developed a full-stack SQL Web Tool with Python backend APIs (Azure SQL migrated to GCP), Bootstrap frontend, secure authentication, state management, error handling, retries, and real-time query capabilities to enable self-service data automation for internal teams and customers.
  • Directed agentic development workflows by framing tasks for AI agents (Cursor, GPT-4o, Claude) to generate, refactor, and migrate backend integration code; built custom agent harnesses with structured prompts, tool calling, test suites, and guardrails for safe bulk configurations, API updates, and migrations.
  • Owned end-to-end enterprise-grade integrations across REST APIs, Voice AI, and cloud services, implementing rate limiting, retry logic, observability, and self-healing mechanisms to ensure resilient real-time automation and minimal downtime for production customer environments.
  • Collaborated closely with Customer Success, Support, and Sales teams to translate enterprise feedback and tickets into technical solutions; rapidly configured, tested, and deployed integrations via Postman, accelerating deal closures and improving customer experience.
  • Performed root cause analysis on integration and AI workflow issues across service boundaries, driving proactive reliability improvements and long-term fixes that reduced post-onboarding support needs.
  • Mentored team members on agentic coding best practices, prompt engineering, Postman-based API testing, and integration design standards through code/prompt reviews and knowledge-sharing sessions.
Voice AI REST APIs Agentic Workflows Python Full Stack
Nov 2024 — Jan 2026

Business Analyst – AOP Infrastructure Team

Amazon, Bangalore, India

  • Engineered an automated ticketing and notification system by integrating Tickety API and Amazon Chime API, leveraging AWS Lambda to raise tickets and push real-time alerts for IAM user creation events, reducing manual overhead and improving incident response.
  • Built scalable ETL pipelines (batch + streaming) using AWS Glue, Lambda, S3, and Python, automating anomaly detection and enabling near real-time reporting.
  • Developed and maintained CI/CD pipelines with AWS CodePipeline, CDK, and MySQL, accelerating deployments while ensuring compliance and audit readiness.
  • Collaborated with business stakeholders to understand data needs and delivered actionable recommendations.
  • Created real-time observability dashboards using AWS QuickSight, enabling executives to monitor system health, SLA adherence, and compliance posture.
  • Analyzed AWS infrastructure costs through rightsizing and reserved instance planning, resulting in $106K annual savings.
  • Collaborated with product managers, backend engineers, and data scientists to define KPIs and drive adoption of streaming-based frameworks.
  • Automated alerting and self-healing remediation workflows with CloudWatch, Lambda, and Python scripts, reducing MTTR and preventing incident recurrence.
  • Performed detailed root cause analysis (RCA) for pipeline failures and IAM violations, optimizing performance with partitioning and checkpointing.
  • Championed Infrastructure-as-Code (Terraform, CDK), standardizing resource provisioning, configuration, and compliance.
  • Documented best practices for high availability (HA), compliance, data warehousing, and streaming, influencing AWS service adoption.
AWS Lambda AWS Glue ETL Pipelines QuickSight Terraform CDK
Nov 2023 — Oct 2024

Senior Consultant

LTIMindTree, Pune, India

  • Served as a customer-facing consultant, guiding clients in high availability, load balancing, and clustering strategies.
  • Automated UCS health checks with ServiceNow workflows, Python, and Linux shell scripting, reducing manual tickets and boosting efficiency by 35%.
  • Designed monitoring dashboards to visualize CPU/memory utilization, uptime, and storage capacity, providing proactive observability.
  • Reconfigured and optimized 13+ Cisco UCS servers via UCS Manager and Ansible, reducing idle capacity and enhancing workload distribution.
  • Built ETL pipelines to ingest and analyze system logs with SQL, identifying recurring failure patterns and improving incident response.
  • Partnered with architecture teams to deploy fault-tolerant, clustered systems, including rollback and disaster recovery (DR) strategies.
  • Automated provisioning of compute and networking resources via CI/CD, reducing manual errors and increasing delivery speed.
  • Authored SOPs, playbooks, and rollback procedures, aligning customer teams with compliance frameworks.
  • Led knowledge-sharing workshops on observability, RCA, ETL design, and streaming pipeline reliability.
Cisco UCS ServiceNow Ansible Automation
Oct 2022 — Oct 2023

Technical Graduate Apprentice – Data Center Ops

Cisco, Bangalore, India

  • Supported enterprise clients in maintaining 99.99% uptime through redundancy testing, preventive maintenance, and DR simulations.
  • Automated disk/memory health checks and ticket resolutions with Python and shell scripts, reducing MTTR and enhancing reliability.
  • Processed 100+ IT service requests (RITMs), translating them into approved change implementations under strict governance.
  • Authored and maintained operational runbooks and incident response guides, ensuring consistent execution across teams.
  • Monitored infrastructure metrics using ScienceLogic EM7, AWS CloudWatch, and DCIM tools for proactive alerts.
  • Configured and troubleshot IAM, Kerberos authentication, and RBAC policies.
  • Managed VM provisioning, capacity planning, and compliance reviews using VMware and UCS Manager.
  • Partnered with customer success teams to prepare compliance documentation, technical reports, and weekly system availability summaries.
  • Participated in disaster recovery (DR) tests and root-cause investigations, strengthening infra reliability.
  • Trained apprentices on monitoring tools, workflows, and compliance frameworks.
Data Center Ops VMware IAM Automation

Technical Expertise

A comprehensive toolkit built through hands-on experience across cloud platforms, data engineering, and infrastructure management.

Cloud & Infrastructure

AWS (Glue, Lambda, EC2, VPC, S3, IAM, CloudWatch) Terraform CDK Azure SQL GCP

Observability & Monitoring

AWS QuickSight ScienceLogic EM7 Dashboarding Alerting Systems Self-healing Workflows

Automation & CI/CD

AWS CodePipeline CI/CD Pipelines Infrastructure-as-Code Real-time Automation

Integrations & APIs

REST APIs OAuth Webhooks Postman Voice AI API Configuration & Testing State Management Error Handling Retries

AI & Agentic Development

Agentic Workflows AI Agents (Cursor, GPT-4o, Claude) Agent Harnesses Prompt Engineering Guardrails

Incident Management

On-call Support RCA MTTR Reduction DR Planning Compliance Documentation

Messaging & Streaming

ETL Design Hadoop Spark Batch & Streaming Pipelines

Programming & Scripting

Python SQL (Joins, CTEs, Window Functions) Shell Scripting Bootstrap

Statistical Analytics

Anomaly Detection Hypothesis Testing Time-series Trend Analysis

Version Control

Git

Customer Collaboration

Enterprise Customer Onboarding Customer Success Support & Sales Teams

Education & Certifications

Education

B.E. in Computer Engineering

Keystone School of Engineering, Pune

Aug 2017 – July 2021

CGPA: 8.16/10.0

Certifications

Cisco Certified Network Associate (CCNA)

Nov 2022 – Feb 2023

AWS Cloud Practitioner Essentials

Feb 2022 – May 2022

Available for new projects

Let's Build Something Amazing

Ready to discuss how data-driven solutions and robust infrastructure can drive your business forward?

Get In Touch hi@deepakpatil.com

Usually responds within 24 hours