Heet P.

About Heet P.

Over six years as an accomplished AI/ML Engineer, skilled in machine learning, advanced analytics, and project management, with expertise in libraries like TensorFlow, PyTorch, and Scikit-learn.• Proficient in backend development and microservices architecture using Flask, Django, Docker, and cloud platforms (AWS, GCP), providing AI and ML solutions for business challenges.• Skilled in Python, R, SQL, and various programming languages (C, C++, Java), with experience in database management (MySQL, MariaDB, PostgreSQL, MongoDB) and data manipulation using Scikit-learn, Numpy, and Pandas.• Led development of machine learning pipelines on AWS, reducing employee burnout by 30% and achieving 89% precision in predicting agent attrition. • Developed AI-driven solutions for document classification and image processing, enhancing data accuracy and productivity, and boosting customer acquisition and revenue by optimizing entity classification. Improved data mapping team productivity and generated an additional $650K in revenue. • Created a Python Flask microservice reducing testing time by 60%, achieved 95% accuracy in text extraction with Pytesseract OCR, and developed CNN models with 84.32% precision in monkey species classification.• Managed a team, ensuring efficient data annotation and model deployment, and demonstrated proficiency in agile project management for timely delivery and alignment with business objectives.TECHNICAL SKILLS:• Programming Languages: Python (including advanced libraries and frameworks), R, C, C++, Java• Database Management: MySQL, MariaDB, SQLite, MongoDB, Neo4j, Redis, PostgreSQL• ML Libraries: Scikit-learn, Numpy, Pandas, NLTK, SpaCy, TensorFlow, Keras, PyTorch, Matplotlib, Gensim, MlLib• Web Development Frameworks: Flask, Django• Big Data Tools: PySpark, Hadoop, AWS S3, AWS Lambda, AWS EC2, AWS Sagemaker, Heroku, Docker, Dask• Data Visualization Tools: Tableau, PowerBI, Superset• ML Algorithms: Linear Regression, SVM, Ensemble models, KNN, Decision Tree, LSTM, CNN, Resnet, YOLO, BERT• AWS (Amazon Web Services) services: SageMaker, Lambda, Glue, S3, IAM, CodeCommit, CodePipeline, Bedrock

Experience

1. Sr Ai Ml Engineer

   Broadaxis

   Jun 2024 — Present · Plano, TX, US

   Developed a comprehensive chatbot application using the Azure OpenAI Service with GPT-based models, to answer user questions based on stock market news articles. Successfully increased user engagement by 40%, while overcoming challenges related to cost, response latency, and output quality.Integrated data sources and storage by collecting stock market data from Yahoo Finance API, IBKR API, and stock-related blogs, storing it in Azure Data Lake Factory. Leveraged NLP services for data cleaning and engineered new features using Azure Cognitive Services, improving RAG retrieval accuracy by 50%.Designed a distributed data processing pipeline using PySpark and Azure Databricks to enable parallelized training of machine learning models on large-scale stock market news datasets.Streamlined data retrieval workflow by importing processed data into a vector database using Azure Cognitive Search, optimizing retrieval through RAG techniques based on user prompts.Developed a scalable backend system using Flask to efficiently handle API requests from the frontend. Designed a workflow leveraging the LangChain framework to process inputs, retrieve data from a vector database, and integrate the GPT-4.0 model for generating final outputs.Fine-tuned the GPT-4o model for financial context by training it on domain-specific data, resulting in a 20% improvement in response relevance and accuracy.Leveraged GPU acceleration with Azure Machine Learning, reducing model training and inference time by 30% through smart scaling of GPU resources, making high-performance computations feasible for real-time applications.Deployed using Docker and Azure Kubernetes Service (AKS), using autoscaling for both CPU-bound and GPU-bound services to handle traffic surges cost-effectively, ensuring a consistent user experience.Implemented an interactive frontend with React.js, allowing users to submit news article links and engage with the Azure OpenAI-powered chatbot.

Education

• The University of Texas at Dallas

  Masters of Science, Business Analytics

  2022 — 2023

• Gujarat Technological University (GTU)

  Bachelor's degree, Computer Science