Veeresh Kv Machine Learning,Data Science,Computer vision,NLP
No reviews yet

I am an experienced AI and Machine Learning Software Engineer with a strong background in building and deploying advanced machine learning models. With a Master's degree in Applied Mathematics and a Bachelor's degree in Mechanical Engineering, I bring a robust analytical skill set to my work. I have developed and implemented various machine learning models, particularly in natural language processing (NLP), deep learning, and computer vision, and have extensive experience with Python, PyTorch, TensorFlow, and model deployment using Docker and Flask.

In my current role at DIMAAGI.AI, I have successfully reduced model memory consumption by 50% and implemented sophisticated techniques such as frame differencing and multimodal pose estimation to enhance video analysis. My previous positions have further solidified my expertise in developing machine learning pipelines, building GANs, and performing sentiment analysis and text classification.

As an educator, I am eager to share my knowledge and experience with students and professionals aspiring to excel in AI and machine learning. I am passionate about teaching and believe in a hands-on, practical approach to learning. I aim to provide clear, comprehensive, and engaging instruction to help learners achieve their goals in this rapidly evolving field.

Subjects

  • Python Grade 1-Diploma

  • Artificial intelligence Grade 10-Masters/Postgraduate

  • Data Science and Machine Learning Grade 10-Masters/Postgraduate

Experience

  • AIML Sofrware Engineer (Mar, 2023–Present) at Dimaag.ai
    • Reduced Model memory consumption by 50% by building a smaller model from scratch in pytorch which helped in overall memory
    during deployment.
    • Built and Implemented Any size Gan from scratch that accepts different input size images.
    • Applied frame differencing technique to effectively detect human movement in video resulting in optimal performance and accuracy.
    • Implemented multimodal pose estimation to determine human posture and movement us
  • AIML Sofrware Engineer (Aug, 2022–Mar, 2023) at Blitz.ai
    • Built various Machine Learning Models for text classification for medical data.
    • Built various Machine Learning Models for financial data to predict churn prediction for credit cards
    • Built Machine Learning pipelines starting from data extraction, data cleaning, Data Analytics, Feature Engineering,Model Building,
  • Data Scientist (Jul, 2021–May, 2022) at BlackStraw.ai
    Performed Web Scraping using Selenium from social Media Platforms for Analysis.
    • Built Various Machine Learning and Deep Learning Models and performed text feature engineering for classification
    • Used Spacy Vader and Flair model to perform Sentiment analysis on the text data.
    • Used CountVectorizer and TfidfVectorizer methods to capture the Buzzing words in the given text
    • Build and Tuned Fasttext model for text imbalance dataset classification and improved the precision and recall score.
  • Data Scientist (Oct, 2017–Mar, 2019) at Photon Technologies
    Built various NLP Models to identify best research papers for recommendation
    • Created a recommendation engine to suggest an ideal cluster price for various identified research papers.
    • Developed segmentation models using K-means Clustering for exploring new user segments
    • Conceptualized and implemented a sentiment analysis tool to rate our company based on subjective customer review .

Education

  • Applied Mathematics (Jun, 2019–Jun, 2021) from Ms Ramaiah Institute of technology. Bangalore

Fee details

    ₹350–500/hour (US$4.13–5.90/hour)

Reviews

No reviews yet. Be the first one to review this tutor.