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SummaryExperienced 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 SkillsLanguages: Python, SQL, Java, C++, R, ScalaMachine 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 CloudTools: Tableau, PowerBI, Git, Docker, Kubernetes, Jenkins, PowerBI Software Engineering: OOP, Data Structures, Algorithms, CI/CD pipelines, TCP/UDP network protocols ExperienceMachine Learning Scientist Mar. 2023  Aug. 2024Meditab 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 scalabilityData Engineer Apr 2020 - Aug 2022Dosepacker 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 ProjectsDynamic 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 EducationUniversity of Pittsburgh Pittsburgh, PAMaster of Science in Information Science 2024VIT University Vellore, IndiaBachelor of Technology in Information Technology 2022