Venkatesh Rathod

About Venkatesh Rathod

8 years of hands-on experience in Data Science, Analytics, AI/ML Solutions, Conversational AI, Gen AI and Platform EngineeringI use AI and machine learning techniques, tools, frameworks, and domain expertise & collaboration to successfully develop and deploy applications and systems with MLOps & AIOps that can help organizations increase efficiency, cut costs, increase profits, and make better business decision. On a mission to explore, design, & build software platforms & tools - that leverage artificial intelligence and machine learning- to solve the problems of analytics and data science at scaleWhile collaborating and giving back to the open-source community.Proven consensus builder to successfully drive strategy with leadership.Passionate about performing analytics on publicly available data for identifying interesting and helpful insights, statistics and relationships. Data Science | Machine Learning | Deep Learning | Natural Language Processing (NLP), NLU, LLMs | Generative AI | Conversational AI | Computer Vision | Predictive Modeling | Predictive Analytics | AI Engineering | Data Engineering | MLOps & AIOps | Automatic Speech Recognition (ASR)| Object RecognitionKey Technologies:Languages: Python, JavaScript, RMachine Learning/Deep Learning Tools: Scikit-Learn, Keras, TensorFlow, PyTorch, Fastai, PaddlePaddle, DeepSpeech, Dlib, OpenCV, OpenSeq2SeqNatural Language Processing Tools: StanfordNLP, Spacy, Rasa, NLTK, Gensim, Spark NLP, Textblob, Transformers, fastText, AutoGen, OpenAIData Analysis Tools: NumPy, Pandas, Seaborn, MatplotlibDatabase: MySQL, SQLite, NoSQL, MongoDBCloud Platforms: MS Azure, Amazon Web Services (AWS), Heroku, GCPVersion Control: Github, Gitbash, Gitlab Containerisation/Orchestration: Docker, Docker-ComposeMiscellaneous Tools: Flask, Ngrok, Beautifulsoup4, Jupyter, Google Colab, PyCharmLinkedIn > > https://github.com/venky14

Experience

1. Deputy Manager - Ai Research

   WNS

   May 2025 — Present · IN

   Conducted R&D on LLM pretrained fine-tuning, data augmentation, and evaluation from OpenAI\'s and Nvidia\'s LLMs and Reward Model for QnA and conversational transcripts

Education

• Shree Sanatan Dharam Vidyalaya

  SSC

• Coursera

  Machine Learning

  2016 — 2017

• Fast.ai

  Artificial Intelligence

  2018 — 2019

• University of Mumbai

  Bachelor of Engineering (B.E.), Computer Engineering

  2010 — 2016

• K J Somaiya College of Science & Commerce

  HSC, Science

  2008 — 2010

• Udacity

  Deep Learning (Google)

  2017 — 2018