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Rohith Kalyan V

As a dynamic Machine Learning Engineer, I thrive on challenging environments and steep learning curves. With a passion for coding and a strong foundation in Python, Data Science, and Deep Learning, I excel at crafting innovative solutions. I'm eager to contribute to a rewarding work environment that values innovation and continuous growth.
  • Role

    ML Engineer II

  • Years of Experience

    4.1 years

Skillsets

  • MySQL
  • Java
  • Python
  • C
  • Go
  • Data Science
  • Deep Learning
  • Docker
  • FastAPI
  • GCP
  • PySpark
  • PyTorch
  • TensorFlow

Professional Summary

4.1Years
  • Jul, 2023 - Present2 yr 6 months

    Machine Learning Engineer II

    Glance
  • Dec, 2021 - Jun, 20231 yr 6 months

    Machine Learning Engineer I

    Glance
  • Jun, 2021 - Dec, 2021 6 months

    Data Scientist - Intern

    Glance
  • Jun, 2019 - Aug, 2019 2 months

    Visiting Student

    Raman Research Institute

Applications & Tools Known

  • icon-tool

    OpenCV

  • icon-tool

    FastAPI

  • icon-tool

    Pyspark

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    GCP

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    PyTorch

  • icon-tool

    Docker

Work History

4.1Years

Machine Learning Engineer II

Glance
Jul, 2023 - Present2 yr 6 months
    Designed and developed real-time data processing systems and ETL pipelines leveraging Kafka, PySpark, and BigQuery. Enhanced user retention and engagement on Glance and Nostra platforms through personalized content recommendations.

Machine Learning Engineer I

Glance
Dec, 2021 - Jun, 20231 yr 6 months
    Engineered recommendation systems for Nostra platform, optimized fraud detection system for HiScore platform, and leveraged NLP techniques for content recommendations.

Data Scientist - Intern

Glance
Jun, 2021 - Dec, 2021 6 months
    Developed algorithms for text detection using OCR and OpenCV, deployed generative AI models as services using FastAPI, and specialized in video/image processing.

Visiting Student

Raman Research Institute
Jun, 2019 - Aug, 2019 2 months
    Optimized DSP techniques for hybrid spectrometer using CUDA, achieving an 8x speed-up.

Achievements

  • Increased user retention rates by 15% through personalized content recommendations.
  • Boosted user engagement by 10% with personalized video content features.
  • Integrated personalized content recommendation systems into platform infrastructure.
  • Achieved a true positive rate of over 90% in fraud detection system for rummy games and positively impacted revenue by 25%.
  • Engineered and optimized recommendation systems for 4 million Daily Active Users.
  • Increased user engagement by around 30% through embeddings using Word2vec and ANN.
  • Achieved an 8x speed-up over an existing parallel implementation in optimizing DSP techniques using CUDA.

Education

  • B.Tech in Computer Science

    M S Ramaiah University of Applied Sciences (2021)