Hi, my name is

Hrishikesh Jadhav

ML/AI Engineer & Data Scientist

M.Sc. in Artificial Intelligence Engineering with expertise in GenAI, MLOps, and AI Engineering. Currently working at GfK - An NIQ Company, specializing in building intelligent systems that solve real-world problems.

Based in Germany

Skills & Technologies

My technical toolkit and areas of expertise.

Programming

PythonRCC++JavaSQL

Machine Learning

Scikit-learnPyTorchTensorFlowKerasComputer VisionNLPGenAILLMs

Cloud & MLOps

AWSGCPAzureDockerGitLinuxREST APIMLflow

Data & Analytics

Power BIPlotlyDashPandasNumPySciPySQLOracle

Languages: English (C1 - Very fluent), German (B1 - Continuously learning)

Work Experience

My professional journey in AI and machine learning.

ML Engineer

GfK - An NIQ Company

August 2024 - Present

Nuremberg, Germany

  • Leveraged advanced Generative AI and LLM technologies for taxonomy processes, improving efficiency by 30%
  • Applied AI-driven analytics to boost data-driven product positioning by 10%
  • Optimized ML pipelines for media currency projects, enhancing deployment efficiency by 20%
  • Collaborated with research team on PoS data, developing 3 successful Proof of Concepts
PythonMLOpsGenAIAWSTensorFlowLinux

Junior Data Scientist

GfK - An NIQ Company

February 2023 - August 2024

Nuremberg, Germany

  • Contributed to designing and developing 3+ prototypes for new data products
  • Implemented MLOps best practices, improving model lifecycle efficiency by 25%
  • Worked on data coding and insights generation for multiple projects
RPythonData AnalysisMachine LearningAzure

Software Developer

Sapio Analytics

March 2022 - October 2022

India

  • Worked on COVID-19 Decision Support System using Python, achieving 4.8% RMSE reduction
  • Collaborated with global data scientists to optimize essential services
  • Developed SEIRD models with AWS Server and Plotly for government strategy decisions
Pythonscikit-learnSciPyAWSPlotlyJupyterNotebook

Featured Projects

A selection of my recent work in AI and machine learning.

AI-Powered Sign Language Recognition

Developed a real-time sign language recognition system using computer vision and deep learning. The system can detect and translate hand gestures into text with high accuracy.

PythonTensorFlowOpenCVMediaPipeFlaskReact

Publications & Awards

Research work and recognition in the field of AI and technology.

Deep Learning Mobile Application for Sign Language Recognition

Objective: To empower aphasic individuals with a tool that facilitates communication through gesture recognition.

  • Developed an Android application that seamlessly integrates computer vision techniques.
  • Utilized Histogram of Oriented Gradients (HOG) for feature extraction from hand gestures.
  • Implemented Convolutional Neural Networks (CNN) and Multiclass SVM to detect and recognize real-time gestures.
Image ProcessingANNCNNtf-kerasComputer VisionAndroid

Awards & Recognition

IEEE ML Hackathon

Aug 2020

1st Rank

HackCovid-19

April 2020

Winner among 130 teams

Smart India Hackathon 2017

April 2017

WINNER, Ministry of Defense, Government of India

Get In Touch

I'm always interested in hearing about new opportunities and collaborations in AI and machine learning.

Open to opportunities worldwide