Machine Learning Software Developer

Dhruv Gupta

724-***-**** ********@*****.*** linkedin.com/in/dg47/ github.com/DG47

Summary

Experienced Software Developer with 4+ years of expertise in building and productionizing machine learning models, developing scalable software, and consulting on data science and AI projects. Proficient in Python, R, and Java, with expertise in cloud-native solutions, container orchestration (Kubernetes), and CI/CD pipelines. Adept at crafting end-to-end machine learning systems and optimizing software in Agile environments Technical Skills

Languages: Python, SQL, Java, C++, R, Scala

Machine Learning/ Deep Learning: CNNs, RNNs, LSTMs, PyTorch, TensorFlow, Text Analysis, Perception Models Big Data Technologies: HDFS, Hive, Apache Spark, Hadoop Cloud Platforms: Azure, AWS, Google Cloud

Tools: Tableau, PowerBI, Git, Docker, Kubernetes, Jenkins, PowerBI Software Engineering: OOP, Data Structures, Algorithms, CI/CD pipelines, TCP/UDP network protocols Experience

Machine Learning Scientist Mar. 2023 – Aug. 2024

Meditab Software Inc. Sacremento, CA

• Led the design and deployment of AI models, improving product recommendation systems for retail and e-commerce clients, resulting in a 12% sales uplift

• Defined data architecture for large-scale machine learning pipelines, reducing data processing time by 30% and improving the scalability of the finance product recommendation system

• Collaborated with teams to integrate machine learning models into production, significantly reducing customer churn rates for a major client

• Enhanced cloud-native deployments for machine learning models on AWS and Azure, using Kubernetes for scalability

Data Engineer Apr 2020 - Aug 2022

Dosepacker India

• Developed distributed systems using Go and Python, optimizing performance for fintech clients by 30%

• Implemented CI/CD pipelines using Jenkins and Docker, reducing deployment times by 40%

• Built and optimized data workflows using Hadoop and Spark, reducing data processing time by 40% and enabling faster decision-making for insurance clients

• Engineered and optimized network APIs and TCP/UDP protocols for distributed systems, enhancing communication efficiency by 20% and reducing latency in data transmission across multiple nodes Projects

Dynamic Pricing App: Developed an app to track e-commerce price trends and optimize purchase timing using Python, Flask, Selenium, and AWS Lambda for serverless execution Web App Google Indexing API: Built a web application to automate API key management and authentication using Python, Flask, and OAuth 2.0, reducing manual entry errors by 90% Text Classification with Deep Learning: Developed a deep learning model with PyTorch and LSTMs to classify legal documents, reducing manual classification time by 50% Real-Time Fraud Detection System: Created a fraud detection system using Python, Scala, and Spark, increasing fraud detection rates by 25% for a fintech client Education

University of Pittsburgh Pittsburgh, PA

Master of Science in Information Science 2024

VIT University Vellore, India

Bachelor of Technology in Information Technology 2022

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