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Vinit Vaichole

Results-driven Machine Learning Engineer with Master's degree in Computer Science, specializing in Data Analytics. Proficient in Python, R & SQL. Expertise in deploying cutting-edge ML models, including Computer Vision, CNN & GANs. Successfully resolved multi-objective optimization challenges, significantly improving Manufacturing Quality at Apple. Published papers, presented at conferences, showcasing commitment to advancing knowledge. Proven leadership in mentoring and supervising team members. Strong analytical and problem-solving skills, with excellent communication abilities.
  • Role

    AI Engineer

  • Years of Experience

    5 years

Skillsets

  • AWS Cloud
  • Weaviate
  • QLoRA
  • Prompt Engineering
  • OpenAI
  • Neo4j
  • LoRA
  • LLMs
  • LangChain
  • Generative AI
  • FAISS
  • Docker
  • Python - 2 Years
  • Agents
  • OpenCV
  • TensorFlow
  • Python
  • Keras
  • TensorFlow
  • Python
  • SQL
  • R
  • PyTorch - 2 Years
  • PyTorch - 2 Years

Professional Summary

5Years
  • Jun, 2024 - Present2 yr 1 month

    AI Engineer

    MangoApps
  • Apr, 2022 - Mar, 20241 yr 11 months

    Machine Learning Engineer

    Apple
  • Aug, 2018 - Sep, 20202 yr 1 month

    Software Analyst

    Yardi Systems

Applications & Tools Known

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    MS Office

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    MS Excel

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    MATLAB

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    Git

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    Linux

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    Tableau

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    Power BI

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    DataRobot

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    MLFlow

Work History

5Years

AI Engineer

MangoApps
Jun, 2024 - Present2 yr 1 month
    Developed and deployed AI-powered products, designed multi-tenant AI applications, scaled full-stack AI applications, engineered multi-agent workflows, worked on AI-driven sentiment analysis pipelines, designed robust AI pipelines, and implemented prompt engineering strategies.

Machine Learning Engineer

Apple
Apr, 2022 - Mar, 20241 yr 11 months
    Implemented NSGA-II algorithm, optimized a Black Box algorithm, executed automated hyperparameter tuning for genetic algorithms, designed an automated testing station, applied core deep learning algorithms and OCR, and innovated a meta-optimization algorithm using GAN models.

Software Analyst

Yardi Systems
Aug, 2018 - Sep, 20202 yr 1 month
    Leveraged SQL techniques for real estate clients, collaborated cross-functionally to analyze database requirements, delivered product-specific case solutions, optimized SQL reporting scripts, and conducted unit testing for product enhancements.

Major Projects

2Projects

Thesis Project - Data Visualization Recommender System using Machine Learning

    For any given dataset recommend a chart type using publicly available Plotly API and training models on ML and DL achieving over 85% accuracy. Concluded that DL models outperform, while Random Forest excels in certain use cases.

Emotion Recognition Using Multi-Modal Approach

    Engineered a program for emotion recognition using both text and image modalities, resulting in a published paper on IEEE Xplore in 2019. Presented results showing 94% accuracy with just a smaller dataset.

Education

  • MSc in Computer Science Data Analytics

    University of Galway (2021)

  • B.E in Computer Engineering

    Pune University (2018)