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Jeevesh Joshi

Senior Software Engineer & Data Scientist | Java · Spring Boot · Microservices · ML | MSc Data Science (Heriot-Watt) | Open to Senior Engineering & DS Roles

India

6+ years of work experience

Infosys
Oct 20221 yr 10 mosJul 2024

Bengaluru, Karnataka, India

Became sole owner of Liberty Global's entire SSO/IAM function within 5 months of joining, responsible for a mission-critical OAuth2 identity platform spanning 12 environments and 15+ integrated services. 1. Assumed end-to-end technical ownership of a custom Java/OAuth2 SSO/IAM platform within 5 months, single point of responsibility for all identity and access management across one of Europe's largest broadcasting organisations 2. Designed and delivered ~50 REST APIs integrating new tools and services into the SSO/IAM layer — managing the full API lifecycle from requirements through deprecation 3. Maintained and evolved the MySQL schema underpinning all SSO data, coordinating migrations across 15+ dependent services without platform disruption 4. Led Apache HTTP Server major version migration, full codebase refactor and deployment across all 12 environments with zero disruption to live identity services 5. Managed 8 production deployments end-to-end, manual EAR deployments on lower environments, automated pipelines for UAT and production.
Nissan Digital India LLP
May 20211 yr 6 mosOct 2022

Took on full ownership across five workstreams cloud-native platform delivery, rescue backend development, a solo-built data warehouse pipeline, a custom neural translation model, and engineering mentorship. 1. Co-built TMTB (Test Management Toolbox), a Java microservices platform on AWS Lambda and S3 consolidating multiple legacy vehicle test processes impacting thousands of engineers with significant cost savings, delivered in a self-managing Agile team with fortnightly releases and Extreme Programming practices 2. Brought in as rescue developer on RAT (Report Automation Tool) independently owned and delivered an entire Epic of backend requirements using Apache POI, bringing the project back on track within a month 3. Sole-authored a custom Java ETL pipeline from MySQL to Snowflake designed, built and scheduled end-to-end with no team support, powering reporting dashboards and analytics across multiple Engineering departments 4. Built a Japanese–English neural machine translation model from scratch using TensorFlow/Keras (Seq2Seq + GRU + Bahdanau Attention, trained on 15,000 internal document pairs) delivered as a Flask web app with file upload, attention visualisation and text-to-speech 5. Mentored 3 new graduate engineers through on-the-job training, using the translation tool as a live learning project
Nissan Digital India LLP
Oct 20182 yrs 8 mosMay 2021

Thiruvananthapuram Taluk, India

Embedded in Nissan's global Engineering division (IB1), delivering two major enterprise platforms impacting thousands of engineers across R&D departments worldwide. 1. Managed and customised Aras Innovator PLM platform for Nissan's global Engineering department — building document control and part approval workflows, custom UI forms, and server-side methods in JavaScript, C# and SQL 2. Led platform migration from v8 to v12 refactoring legacy methods for compatibility and resolving post-migration performance issues across on-premise environments 3. Co-developed the RnD Resource Management System from scratch in Spring Boot and Java, replacing a manual Excel-based cost estimation process with no version control — impacting several thousand engineers globally 4. Integrated Tableau dashboards into the RMS platform, giving senior leadership real-time visibility into engineering costs and resource data previously buried in spreadsheets 5. Delivered live demos, progress reviews and go-live sign-offs directly to department heads and senior leadership
Wipro Limited
May 20185 mosSep 2018

Bengaluru, Karnataka, India

Developed reusable Spring Boot starter templates adopted by the team, reducing setup time for new service modules Diagnosed and resolved functional bugs in existing Java modules, improving stability ahead of UAT cycles Wrote JUnit test cases for assigned components, improving code coverage and catching edge-case failures early Designed utility functions within the Java codebase following Spring Framework conventions and team standards
NDTV
Jun 20172 mosJul 2017

Greater Delhi Area

Worked on the data pipeline behind Gadgets360's price comparison tool — one of India's largest consumer tech platforms at the time. Cleaned and classified 50,000+ consumer electronics records using Python (Pandas) and Excel — resolving missing values, duplicates, and invalid entries across a large-scale product dataset Performed multi-class device classification (smartphone / feature phone / landline) from raw hardware specifications, directly informing how products were categorised on the live platform Collaborated with the product team to define rules for ambiguous edge cases — an early introduction to the real-world messiness of data and how decisions made at the data layer affect what users see

Jeevesh’s AI Stack

claude code
claude code
cursor
cursor
gemini
gemini

Education

Heriot-Watt University

Master of Science - MS, Data Science

Heriot-Watt University

20241 yr2025
Amity University Lucknow Campus

Bachelor of Technology (BTech), Computer Science

Amity University Lucknow Campus

20144 yrs2018

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Headline

Senior Software Engineer & Data Scientist | Java · Spring Boot · Microservices · ML | MSc Data Science (Heriot-Watt) | Open to Senior Engineering & DS Roles

About

I'm a Senior Software Engineer with 6+ years of Java backend experience and an MSc in Data Science from Heriot-Watt University — and I've spent the last year understanding exactly how those two things fit together. At Infosys, Nissan Digital, and Wipro, I built the systems that move data: microservices processing hundreds of thousands of daily events, ETL pipelines feeding analytics teams, REST APIs connecting business logic to the people who need it. I've always worked closest to the data layer — and the MSc was the natural next step to understand what happens to that data once it leaves my systems. That combination is rarer than it sounds. Most senior backend engineers don't think statistically. Most data scientists can't architect a production service. I sit in between — which means I can build systems that serve ML models at scale, design data pipelines with engineering rigour, and work across backend and data teams without losing anything in translation. What I bring: → Java · Spring Boot · Microservices · JPA/Hibernate · PostgreSQL · REST APIs · CI/CD → Python · Machine Learning · NLP · Generative AI · ETL Pipelines · Statistical Modelling → 6+ years delivering in enterprise environments (Infosys, Nissan Digital, Wipro) → MSc Data Science, Heriot-Watt University (2025) I'm currently open to Senior Software Engineer / Backend Engineer roles where engineering depth is valued, and Data Scientist / ML Engineer / Data Engineer roles where my engineering background is an asset. If you're building something data-intensive and want someone who can work across the stack — let's talk. 📩 jeevesh.j.j@gmail.com

Location

India

AI stack

claude code

cursor

gemini

Work experience

Senior Associate Consultant at Infosys, Oct 2022 - Jul 2024 · 1 yr 10 mos, Bengaluru, Karnataka, India, Became sole owner of Liberty Global's entire SSO/IAM function within 5 months of joining, responsible for a mission-critical OAuth2 identity platform spanning 12 environments and 15+ integrated services. 1. Assumed end-to-end technical ownership of a custom Java/OAuth2 SSO/IAM platform within 5 months, single point of responsibility for all identity and access management across one of Europe's largest broadcasting organisations 2. Designed and delivered ~50 REST APIs integrating new tools and services into the SSO/IAM layer — managing the full API lifecycle from requirements through deprecation 3. Maintained and evolved the MySQL schema underpinning all SSO data, coordinating migrations across 15+ dependent services without platform disruption 4. Led Apache HTTP Server major version migration, full codebase refactor and deployment across all 12 environments with zero disruption to live identity services 5. Managed 8 production deployments end-to-end, manual EAR deployments on lower environments, automated pipelines for UAT and production.

Software Engineer 2 at Nissan Digital India LLP, May 2021 - Oct 2022 · 1 yr 6 mos, Took on full ownership across five workstreams cloud-native platform delivery, rescue backend development, a solo-built data warehouse pipeline, a custom neural translation model, and engineering mentorship. 1. Co-built TMTB (Test Management Toolbox), a Java microservices platform on AWS Lambda and S3 consolidating multiple legacy vehicle test processes impacting thousands of engineers with significant cost savings, delivered in a self-managing Agile team with fortnightly releases and Extreme Programming practices 2. Brought in as rescue developer on RAT (Report Automation Tool) independently owned and delivered an entire Epic of backend requirements using Apache POI, bringing the project back on track within a month 3. Sole-authored a custom Java ETL pipeline from MySQL to Snowflake designed, built and scheduled end-to-end with no team support, powering reporting dashboards and analytics across multiple Engineering departments 4. Built a Japanese–English neural machine translation model from scratch using TensorFlow/Keras (Seq2Seq + GRU + Bahdanau Attention, trained on 15,000 internal document pairs) delivered as a Flask web app with file upload, attention visualisation and text-to-speech 5. Mentored 3 new graduate engineers through on-the-job training, using the translation tool as a live learning project

Software Engineer 1 at Nissan Digital India LLP, Oct 2018 - May 2021 · 2 yrs 8 mos, Thiruvananthapuram Taluk, India, Embedded in Nissan's global Engineering division (IB1), delivering two major enterprise platforms impacting thousands of engineers across R&D departments worldwide. 1. Managed and customised Aras Innovator PLM platform for Nissan's global Engineering department — building document control and part approval workflows, custom UI forms, and server-side methods in JavaScript, C# and SQL 2. Led platform migration from v8 to v12 refactoring legacy methods for compatibility and resolving post-migration performance issues across on-premise environments 3. Co-developed the RnD Resource Management System from scratch in Spring Boot and Java, replacing a manual Excel-based cost estimation process with no version control — impacting several thousand engineers globally 4. Integrated Tableau dashboards into the RMS platform, giving senior leadership real-time visibility into engineering costs and resource data previously buried in spreadsheets 5. Delivered live demos, progress reviews and go-live sign-offs directly to department heads and senior leadership

Project Engineer at Wipro Limited, May 2018 - Sep 2018 · 5 mos, Bengaluru, Karnataka, India, Developed reusable Spring Boot starter templates adopted by the team, reducing setup time for new service modules Diagnosed and resolved functional bugs in existing Java modules, improving stability ahead of UAT cycles Wrote JUnit test cases for assigned components, improving code coverage and catching edge-case failures early Designed utility functions within the Java codebase following Spring Framework conventions and team standards

Intern at NDTV, Jun 2017 - Jul 2017 · 2 mos, Greater Delhi Area, Worked on the data pipeline behind Gadgets360's price comparison tool — one of India's largest consumer tech platforms at the time. Cleaned and classified 50,000+ consumer electronics records using Python (Pandas) and Excel — resolving missing values, duplicates, and invalid entries across a large-scale product dataset Performed multi-class device classification (smartphone / feature phone / landline) from raw hardware specifications, directly informing how products were categorised on the live platform Collaborated with the product team to define rules for ambiguous edge cases — an early introduction to the real-world messiness of data and how decisions made at the data layer affect what users see

Education

Master of Science - MS, Data Science, Heriot-Watt University

Bachelor of Technology (BTech), Computer Science, Amity University Lucknow Campus