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rahulbakshee/README.md

Hello World 👋👋👋

🦾 Experienced Senior Machine Learning Engineer with a strong background in designing, developing, deploying, and optimizing large-scale ML solutions. Skilled in Deep Learning, Natural Language Processing, and advanced model architectures, driving impactful innovations in AI. Proven track record in collaborating cross-functionally to deliver measurable results, accelerate model deployment, and enhance business intelligence, achieving substantial revenue growth. Adept in Python, TensorFlow, PyTorch, and cloud-based MLOps, with a commitment to advancing data-driven decision-making.

🚀

  • Prototyped Generative AI based applications using foundation models OpenAI, Gemini, Llama, GPT, Azure AI, LangChain and RAG, boosting customer engagement by 70%.
  • Boosted patient adherence rates by 21% for 80,000 patients through advanced predictive modeling.
  • Delivered $16M revenue growth through effective development and deployment of scalable AI/ML models.
  • Achieved 42% improvement in customer engagement with an omnichannel recommender system.
  • Served as the primary point of contact for 3 clients, planned and directed GTM strategies, reported to VP and SVP.

🛠 Core skills

  • AI/ML: Machine Learning, Deep Learning, Natural Language Processing (NLP), Recommender System, Distributed Computing, Optimization, Performance Tuning, Convolutional Neural Networks, CNN, Recurrent Neural Network, RNN, Transformers, Attention, LSTM, Classification, Regression, Clustering, Retrieval & Ranking
  • Scripting/Programming Languages: Python, SQL, R, Java, Scala, C/C++, Linux, Bash
  • Tools & Frameworks: TensorFlow, PyTorch, Keras, Scikit-Learn, XGBoost, Random Forest, Naïve Bayes, SVM, Linear/Logistic Regression, Dask, NumPy, Pandas, TensorFlow Serving, MLflow, Kubernetes, Docker, Airflow, Databricks, TensorBoard, NLTK, spaCy, OpenCV, YOLO, Matplotlib, Seaborn, AutoML, SHAP, LIME
  • Cloud: Amazon Web Services, AWS SageMaker, Google Cloud Platform, GCP, Vertex AI, Azure ML, Linear Algebra
  • Big Data: Apache Spark, PySpark, Hadoop, Hive, HDFS, Kafka, Flink, BigQuery, Redshift, Tableau, PowerBI
  • MLOps & Experimentation: CI/CD Pipelines (Jenkins, GitOps), Experiment Tracking (MLflow, Weights & Biases), Feature Store(Feast, Tecton), Data Engineering, GPU, TPU, CUDA, Data Pipelines, Cross-Validation, Explainable AI
  • Gen AI/Generative AI: LLM, RAG, Open AI, LangChain, Gemini, Llama, Mistral, Hugging Face, Word Embedding
  • Software Engineering, Data Structures and Algorithms, Code Review, Documentation, Probability, Statistics
  • Soft Skills: Technical Leadership, Project Management, Mentorship, Cross-functional Collaboration

🔥 In my current customer-facing role at Axtria, I led a team of high-performing data scientists and machine learning engineers, optimizing resources and performance management. I have a strong track record in architecting and deploying machine learning pipelines and models, leveraging tools such as Python, SQL, XGBoost, TensorFlow, and AWS. I have driven significant advancements in Likelihood Prediction, Fraud Detection, Regression, Classification, Clustering, Customer Churn, Natural Language Processing (NLP), Recommendation Systems, Generative AI and Large Language Model (LLM) based applications. My ability to manage complex projects and collaborate with cross-functional teams has been pivotal in generating substantial revenue and enhancing operational efficiency.

🔭 Looking forward, I aim to transition into senior role where I can further leverage my skills in stakeholder management, algorithm development, and large-scale data analysis. With a robust foundation in machine learning infrastructure, cloud computing, and software engineering best practices, I am well-equipped to tackle complex challenges involving Big Data and Distributed Computing, and deliver innovative solutions that drive business success. My certifications in Google Cloud and TensorFlow, along with a solid background in Deep Learning and AI, position me as a valuable asset for any forward-thinking organization.

✌️ Strong believer in Collaboration, Responsible AI, Diversity and Inclusion.

📫 Say Hello at : blog , linkedin , twitter , github

🥇 Certifications I recently did are:

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  1. cv cv Public

    Computer Vision, Deep Learning, Generative Adversarial Networks, MOOCS, GANs, OpenCV, Tensorflow, keras and pytorch

    Jupyter Notebook 5 1

  2. cp cp Public

    Competitive Programming, System Design, Kaggle, LeetCode, AnalyticsVidhya, HackerRank, Project Euler, Interview Query

    Jupyter Notebook 1

  3. dl dl Public

    Deep Learning , Neural Networks, TensorFlow, Keras, Pytorch, MOOC, AI

    Jupyter Notebook

  4. iWriteHere iWriteHere Public

    blogs on AI, ML, DL, CV, NLP, tensorflow, pytorch, pySpark, s/w & h/w

    HTML 1

  5. llm llm Public

    a repository on Large Language Models (LLMs) where I explore different open-source and closed-source libraries and try to create some cool applications

    Jupyter Notebook

  6. ml ml Public

    Machine Learning | Exploratory Data Analysis | Feature Engineering

    Jupyter Notebook