Skills

Python

SQL

Java

Scikit-learn

PyTorch

Airflow

AWS

Docker

FastAPI

OpenAI and LLMs

MCP

PostgreSQL

About Me

ML Engineer based in Berlin with 3+ years of professional experience plus 2+ years of working-student and research experience building production ML and GenAI systems. At Scout24, I work across SEO content generation, market-data automation, search quality, conversational AI, voice AI, and MCP-based real-estate analysis tools. I enjoy turning ambiguous business problems into reliable pipelines, measurable model improvements, and internal AI products teams actually use.

Location: Berlin, Germany
Call me: +49 17656614660
Mail me: rtrohittidke3@gmail.com
LinkedIn: linkedin.com/in/rohitidke
GitHub: github.com/rohitidke

Education


M.S.

1,6GP

  • Otto-von-Guericke University, Magdeburg

  • 2022 - 2025

B.E.

8.34CGPA

  • Shri Sant Gajanan Maharaj College of Engineering, Shegaon

  • 2015 - 2019

XII th

89.4%

  • Jawahar Navodaya Vidyalaya, Washim

  • 2013 - 2014

Achievements



Special Achievement Award

Tata Consultancy Services recognition for end-to-end execution and delivery impact.

Special Initiative Award

Awarded for ownership and extra initiative during product development at TCS.

Pursuit of Excellence Award

Recognized for delivering value to pilot users through production ML work at TCS.

Deloitte Innovation Award

Received at Smart India Hackathon for building a secure QR-code-based ticketing solution.

CONCEPTS 2026 Publication

Paper accepted on detecting intra-categorical structure through contextual bundling.

Distinguished Fellow Award

Certificate of achievement for high performance during the Hasura fellowship internship.

Top 5% in NPTEL IMAD

Ranked among the top 5% in IIT Madras's Introduction to Modern Application Development exam.

Winner of Coding Events

Won the Eat the Bug and Web Crawler technical events at SSGMCE.

Open-source Contribution

Published a reusable CRUD NPM package to speed up Angular-based application development.

Work Experience




Scout24 SE


ML Engineer / AI Engineer - Working Student | December 2023 - Present

  • Built a production Airflow pipeline that generated GenAI content for 20 million SEO address pages and increased traffic by about 666k clicks per year.
  • Automated a market-data reporting workflow on SageMaker, cutting processing time by 93% from 2 days to 3 hours.
  • Improved AI search accuracy from 72% to 85% through prompt engineering and iterative quality tuning.
  • Helped build MCP-based real-estate and ChatGPT app experiences using RAG, vector search, and provider-agnostic LLM services.



Otto-von-Guericke University


Student Research Assistant and Tutor | April 2023 - September 2024

  • Built a data exchange platform for the GEOSTALOVR research project, reducing collaboration delays from a few days to 2 to 3 hours.
  • Tutored Information Retrieval and Advanced Topics in Machine Learning, helping students work through applied ML concepts.



Tata Consultancy Services


ML Engineer | June 2019 - September 2022

  • Built a domain-agnostic customer peer-grouping framework using K-Means, DBSCAN, and hierarchical clustering.
  • Developed a recommendation system for TCS services using association rule mining and increased qualified leads by 24%.
  • Built ML solutions for revenue potential, time to sell, and win-rate prediction for business stakeholders.



LocationGuru Solutions


Intern - UI Developer | March 2018 - September 2018

  • Built and published a reusable CRUD NPM package to improve development speed across Angular projects.
  • Improved a mobile application's UI and backend, contributing to stronger user engagement.



Hasura


Intern - Python Developer | December 2017 - February 2018

  • Developed an ML-based churn prediction model to identify at-risk customers.
  • Implemented a fully functional navigation application using Google Maps APIs.



Projects




Data-Driven Recruitment Strategy for Mobility Worldwide


October 2024 - February 2025

  • Built a data analysis and AutoML workflow using BigQueryML, Vertex AI, and Kubeflow to identify project success factors.
  • Created reporting in Looker Studio to support talent recommendation and hiring strategy decisions.



Clustering of Images Using SCAN with Visual Explanation


April 2024 - June 2024

  • Built an unsupervised image clustering pipeline using SCAN to group images without ground-truth labels.
  • Added Grad-CAM-based visual explanations to highlight important image features and improve interpretability.



Search Engine Results Clustering


November 2023 - January 2024

  • Built a search engine over Wikipedia movie documents with retrieval, BM25-based ranking, and K-Means clustering.
  • Developed clustering visualizations to make search results easier to explore and compare.



Peer Framework


March 2020 - May 2020

  • A domain agnostic framework that forms peer groups of customers based on their attributes and buying behavior.
  • Designed the data model and developed CRUD APIs on Azure App Service.
  • Secured APIs using Azure AD authentication and documented them with Swagger.
  • Enabled production workflows to populate the database with peer groups.




Cue Engine


June 2020 - September 2020

  • A recommendation engine that starts from customer clustering and derives nudges and recommendations from peer groups.
  • Built a used-together recommendation component using association rule mining.
  • Optimized rule and recommendation generation from 2 to 3 minutes down to 5 to 6 seconds.
  • Created an API that combined all components for production use and pilot-user rollout.




TCS Products Characterization


October 2020 - January 2021

  • Analyzed opportunity, contract, and invoice data for TCS products.
  • Delivered projections such as potential revenue, time to sell, and win rate.
  • Helped model sales-process insights for business teams.




Maestro - Sales Plans Generator


March 2021 - July 2021

  • A smart assistant for sales executives to generate effective sales plans faster.
  • Handled overall execution by integrating multiple components and algorithms into the final product workflow.
  • Used OWL for modeling and publishing the model into the database.




Verification Framework


November 2021 - Present

  • A framework that verifies committed code using vulnerability checks and automated testing.
  • Explored and validated multiple testing stacks including Cucumber, jUnit with Mockito, Selenium, and Katalon.
  • Used jHipster to generate boilerplate code for workspace and testing setup.




WOOIONIC E-COMMERCE MOBILE APPLICATION


June 2018 - August 2018

  • Developed a mobile application for small businesses such as grocery stores.
  • Created category-based product, cart, and checkout screens for easier shopping flows.
  • Integrated with WooCommerce so store admins could manage products from the dashboard.
  • Built this project during the LocationGuru Solutions internship.




SECURE DIGITAL TICKET PASS USING QR CODE TECHNOLOGY


March 2018 - April 2018

  • Developed a paperless and secure bus-ticket pass solution using QR code technology.
  • Solved issues around carrying, losing, or stealing physical bus passes.
  • Led the team in building this application for Smart India Hackathon 2018.




GOOGLE MAPS DIRECTIONS API


December 2017 - February 2018

  • Created a Google Maps-based application that shows directions, distance, and travel time between source and destination.
  • Collaborated with two other interns to complete this project during the Hasura internship.
  • Designed, developed, and documented the project APIs.




PET PROJECTS


August 2016 - Present

  • Built a water tank alarm to prevent overflow and reduce water waste at home.
  • Created a vocabulary-learning Python app for exam preparation.
  • Developed a dynamic portfolio web application to make portfolio creation easier.
  • Created and published a CRUD package for Angular projects on npm.




Shout-outs

I am grateful to the communities, tools, and platforms that shaped how I learn, build, and share my work.