Deepkumar Patel profile photo 1 on Tal

Deepkumar Patel

SDE @Cimpress | Ex-Siemens:Built AWS Digital Twin Platform Cutting Site Checks 40% |Typescript/AWS/React/Node.js/GenAI |Backend & Data Engineer

Bengaluru

4+ years of work experience

Cimpress India
Mar 20267 mosPresent

Remote

Siemens
Sep 20241 yr 7 mosMar 2026

Collaborated with different teams to develop a cloud-connected Digital Twin platform with a React.js frontend and Node.js backend. This platform integrates 3D BIM visualization through ACC APIs and APS, along with global map navigation for real-time asset monitoring across over 1,300 locations. This work contributed to features that cut manual inspection workflows by about 40%. Implemented live time-series dashboards and analytics using Material-UI to show asset performance and energy usage trends. This also allowed for role-based views and drilldowns, making troubleshooting faster. Helped create a scalable, rule-based Data Quality Framework in Python to validate important data streams from more than 1,300 sites. I deployed this framework serverless on AWS Lambda, adding monitoring and automated ticket creation for records that did not meet validation rules. This improved data accuracy and cut manual verification time by about 60%. Built modular validation rules with adjustable frequencies, and added visibility with logs, metrics, and alerts. I also included unit and integration tests to enhance reliability in production. Participated in design reviews, collaborated with product and operations teams, and supported triage and root-cause analysis for production incidents. Automated a full ETL reporting pipeline (legacy DB → S3 → processing → stakeholder CSV + email, orchestrated via Flask), compressing a 2-working-day manual process to under 5 minutes (~99.5% faster) and saving ~20 engineering hours per week.
ARCON
Jun 20243 mosAug 2024

Mumbai, Maharashtra, India

SimPPL
Dec 20236 mosMay 2024

New York, United States

Built web-scraping and ingestion pipelines to normalize news and social media signals at scale, enabling NLP-based content ranking models for misinformation research. Ran a Google Analytics + BigQuery behavioural analysis for WNYC covering 20M users and 136.4M lifecycle events delivering engagement insights (avg. session 50s, 63% retention in 35–44 cohort) that shaped editorial strategy.
Dwarkadas J. Sanghvi College of Engineering
Sep 20221 yr 10 mosJun 2024

Mumbai, Maharashtra, India

GitHub
@deep3040
LeetCode
@Deep_30
Personal portfoliodeepkumarpatelportfolio.vercel.app

Deepkumar’s AI Stack

github copilot
github copilot
hugging face
hugging face
langchain
langchain
notebooklm
notebooklm
notion
notion
ChatGPT
ChatGPT

Education

Dwarkadas J. Sanghvi College of Engineering

B.Tech, Computer Engineering

Dwarkadas J. Sanghvi College of Engineering

20204 yrs2024

HSC, PCM Computer Science

S.V.P Junior College of Science & Commerce

20182 yrs2020

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Headline

SDE @Cimpress | Ex-Siemens:Built AWS Digital Twin Platform Cutting Site Checks 40% |Typescript/AWS/React/Node.js/GenAI |Backend & Data Engineer

About

I build backend systems and cloud data pipelines that turn raw operational noise into reliable, automated decisions — at scale. At Siemens, I owned infrastructure that monitored 1,300+ buildings globally: ingestion pipelines on AWS Lambda, time-series storage in DynamoDB, GraphQL APIs, and React dashboards used by ops teams daily. One workflow I automated took delivery time from 2 working days to 5 minutes. What I bring to a product team: → Cloud-native backend: AWS (Lambda, S3, EC2, DynamoDB, CloudWatch), Python, Node.js, Flask, GraphQL, Docker → Data engineering: ETL pipelines, IoT telemetry ingestion, event-driven architectures, DynamoDB + PostgreSQL + MongoDB I work best in fast-moving product companies where engineering quality and system reliability actually matter — where I can own problems end-to-end, not just close tickets. Beyond work: 400+ DSA problems on LeetCode, two research publications, and projects in real-time AI vision and fitness ML that I actually use. Stack: Python · Java · JavaScript · AWS · Flask · Node.js · React · GraphQL · Docker · PostgreSQL · DynamoDB · MongoDB · PyTorch · OpenCV 🟢 Actively looking | Available in 30 days | Open to SDE-2, SDE-1, Data Engineer, ML Engineer 📩 patel.deep0731@gmail.com

Location

Bengaluru

AI stack

github copilot

hugging face

langchain

notebooklm

notion

ChatGPT

Work experience

Software Engineer at Cimpress India, Mar 2026 - Present · 7 mos, Remote

Software Engineer - Product Development at Siemens, Sep 2024 - Mar 2026 · 1 yr 7 mos, Collaborated with different teams to develop a cloud-connected Digital Twin platform with a React.js frontend and Node.js backend. This platform integrates 3D BIM visualization through ACC APIs and APS, along with global map navigation for real-time asset monitoring across over 1,300 locations. This work contributed to features that cut manual inspection workflows by about 40%. Implemented live time-series dashboards and analytics using Material-UI to show asset performance and energy usage trends. This also allowed for role-based views and drilldowns, making troubleshooting faster. Helped create a scalable, rule-based Data Quality Framework in Python to validate important data streams from more than 1,300 sites. I deployed this framework serverless on AWS Lambda, adding monitoring and automated ticket creation for records that did not meet validation rules. This improved data accuracy and cut manual verification time by about 60%. Built modular validation rules with adjustable frequencies, and added visibility with logs, metrics, and alerts. I also included unit and integration tests to enhance reliability in production. Participated in design reviews, collaborated with product and operations teams, and supported triage and root-cause analysis for production incidents. Automated a full ETL reporting pipeline (legacy DB → S3 → processing → stakeholder CSV + email, orchestrated via Flask), compressing a 2-working-day manual process to under 5 minutes (~99.5% faster) and saving ~20 engineering hours per week.

Software Engineer Intern at ARCON, Jun 2024 - Aug 2024 · 3 mos, Mumbai, Maharashtra, India

Research Engineer at SimPPL, Dec 2023 - May 2024 · 6 mos, New York, United States, Built web-scraping and ingestion pipelines to normalize news and social media signals at scale, enabling NLP-based content ranking models for misinformation research. Ran a Google Analytics + BigQuery behavioural analysis for WNYC covering 20M users and 136.4M lifecycle events delivering engagement insights (avg. session 50s, 63% retention in 35–44 cohort) that shaped editorial strategy.

Placement Coordinator at Dwarkadas J. Sanghvi College of Engineering, Sep 2022 - Jun 2024 · 1 yr 10 mos, Mumbai, Maharashtra, India

Education

B.Tech, Computer Engineering, Dwarkadas J. Sanghvi College of Engineering

HSC, PCM Computer Science, S.V.P Junior College of Science & Commerce

Public links

github: https://github.com/deep3040

leetcode: https://leetcode.com/Deep_30

deepkumarpatelportfolio.vercel.app: https://deepkumarpatelportfolio.vercel.app/