I am a Masters student studying Computer Science at TU Kaiserslautern, Germany. I also work as Chief AI Scientist at BotSupply and as a Researcher at MindGarage.
My area of specialization is Deep Learning, Computer Vision and NLP . I love investigating new technologies. You can find me doing competitive coding on Kaggle and Numerai (Sometimes). I am actively working with few startups, where I put things I learn to use. I like to travel and meet new people. I wish to end all pages of my passport someday. I am very fond of animals. Dog lover!


  • Education

  • Chief AI Scientist : BotSupply

    Developed a Natural Language Processing Framework from scratch in 40+ languages that powers all the customers chatbots at BotSupply.

    Developed and trained models for Intent classification, Entity recognition, Sentiment Analysis, Language Translation, POS tagging that are on par with the state-of-the-art models.

    Designed architectures for handling imbalanced datasets, improving performance with continuous learning over feedback and automated selection of the best threshold.

    Gathered data and feedbacks from real users, crowd-sourced annotations, worked with linguists and designers to improve the whole conversational flow in chatbots.

    My current work focuses on learning representations from non-labeled datasets in an unsupervised manner that generalizes well to any tasks when fine-tuned upon.

  • Research Asisstant : Insiders Technologies GmbH

    At Insiders Technologies, I work in the OVATION Machine Learning team that effortlessly handles huge amounts of data, reads and understands their content, handles queries or interacts with end users. In short: OVATION ensures optimal business processes with intelligent automation.

    I worked in the domain of Intent Classification and Entity Extraction using state of the art deep learning algorithms and methods.

  • Researcher : MindGarage

    Collaborating and researching on various deep learning algorithms like Bayesian Neural Networks, Memory and Attention models and Object detection.

    Part of organizational activities at Mindgarage: Assisting students’ projects and masters thesis, organizing hackathons and research colloquiums, and in website and github maintenance.

    Assisted in organizing the coursework and assignments for Very Deep Learning lectures at TU Kaiserslautern under Prof. Marcus Liwicki.

  • Machine Learning Engineer : Whizleads

    Worked in development of a suite of sales solutions: insights about clients, lead generation, task and invoice management, and social media integration.

    Used machine learning algorithms to generate up to date and meaningful insights about clients’ personalities, mood, consumer needs, language style and values using social media data.

    Made the solution to work in real time (with every update on social media) to be displayed in the application.




  • Deep learning
  • Computer Vision
  • NLP
  • Recommendation Systems
  • Time Series Analysis

Programming Stack

  • Python
  • PyTorch
  • Keras
  • Tensorflow

Natural Language Processing

  • SciPy
  • Spacy
  • RASA
  • NLTK
  • Pandas
  • Core-NLP

Image Processing

  • OpenCV
  • Pillow
  • NumPy
  • Matplotlib


  • Git & Github
  • Latex
  • Heroku
  • Flask
  • AWS S3
  • Docker
  • Google Cloud


Glad to see that you made all your way up here.
Feel free to say Hi anytime.