Deepkumar Patel

Software Engineer · Backend · Cloud · AI Systems

Portfolio website Mumbai, India LeetCode Top 20%

Building reliable software, cloud systems, and AI products that make real operations faster.

I design backend platforms, automation pipelines, and AI-powered applications with a strong focus on reliability, speed, and measurable business impact.

1300+

Distributed sites

40%

Manual work reduced

60%

Data reliability lift

2 days → 5 min

Turnaround reduced

Engineering snapshot

Cloud systems · AI vision · backend platforms

Current focus

Event-driven backend systems, telemetry workflows, and real-time data processing.

Strengths

Distributed systems, AWS architecture, APIs, automation, and practical AI integrations.

What I build

Systems that are fast, observable, resilient, and tied to measurable outcomes.

JavaPythonReactAWSAI/ML

About

I enjoy turning messy real-world workflows into dependable software. My work spans cloud-native backend systems, real-time data pipelines, full-stack applications, and computer vision projects. I like building things that are easy to operate, scale, and explain.

My strongest themes are reliability, automation, and measurable product impact — whether that means reducing manual work, improving latency, or delivering better operational visibility.

Education

Dwarkadas J. Sanghvi College of Engineering

B.Tech in Computer Engineering

CGPA: 9.3/10

Also active in AI/ML, cloud engineering, and applied system design.

Experience

Cimpress

Software Engineer (SDE-1) · Remote

Mar 2026 – Present

  • Contributed to event-driven backend systems powering manufacturing and supply-chain workflows.
  • Helped coordinate the order lifecycle from customer purchase through production readiness and shipment compliance.

Siemens

Software Developer · Mumbai

Sep 2024 – Mar 2026

  • Overhauled legacy telemetry workflows for 1,300+ distributed sites, reducing manual interventions by 40%.
  • Built a cloud-native AWS platform using Lambda, DynamoDB, and S3 to process real-time telemetry.
  • Improved data reliability by 60% with retry, validation, and recovery mechanisms.
  • Cut turnaround time from 2 days to 5 minutes while maintaining zero-downtime deployments.
  • Exposed real-time KPIs via REST APIs and supported about 10% energy savings.

Simppl

Research & Development Intern · Remote

Jan 2024 – May 2024

  • Built web-scraping and ingestion pipelines for news and social signal normalization.
  • Analyzed 20M users and 136.4M lifecycle events using GA + BigQuery for WNYC.

Artenal Agritech Ltd

Flask Developer Intern · Remote

Oct 2022 – Mar 2023

  • Improved backend pipelines and frontend UX for a conveyor-belt analytics dashboard.
  • Reduced page load times by about 30% and manual processing by about 70%.

Projects

ObserveX – Real-Time AI Vision Analytics

YOLOv8, DeepSORT, PyTorch, OpenCV, asyncio, Ollama, Streamlit

A multi-stage async vision system for capture, detection, tracking, and scene analysis with live dashboards and audio alerts.

Impact: 3–5× faster performance for real-time insights.

Human-Computer Interaction using Transfer Learning

PyTorch, YOLOv5, OpenCV

A hand-gesture mouse research project focused on better detection in dark and distant environments.

Impact: Improved detection in unconstrained settings by 28%.

Get Fit Quick

TensorFlow, OpenCV, Python, Pandas, MySQL, NLTK

An AI fitness assistant with pose correction, calorie tracking, hydration reminders, and a voice chatbot.

Impact: Boosted overall user engagement by 45%.

Skills

Cloud & Infrastructure

AWS LambdaS3DynamoDBEC2CloudWatchDockerCI/CD

Backend Engineering

JavaPythonREST APIsGraphQLFlaskDjangoNode.jsNest.js

Frontend Engineering

React.jsTypeScriptResponsive UIDashboard Design

Databases

MySQLPostgreSQLMongoDBDynamoDB

Achievements

Highlights

  • Published research work in computer vision and human-computer interaction.
  • Handled analytics at scale with millions of users and lifecycle events.
  • Built production systems with measurable reliability and latency improvements.
  • Active across backend, cloud, and applied AI projects.

Certifications

DeepLearning.ai SpecializationAWS Cloud Practitioner Essentials

Contact

Let’s build something dependable and useful.

Open to roles in software engineering, backend systems, cloud platforms, and AI-driven products.