Sravanthi Tatineni

Possess profound knowledge of Python and its utilization in implementing Machine Learning and Deep Learning algorithms.

Successfully participated in a healthcare project focused on developing an app utilizing Natural Language Processing and Understanding techniques.

• Developed innovative physician search engine to pull the relevant physicians to the top by performing lexical and semantic search on physician profiles, claims, and research information.
• Utilized Big Query to collect and analyze data from multiple sources including EPIC Tables, Pubmed, and webscraping.
• Developed APIs for medical entity recognition, medical code extraction, and medical entity linking through a microservice driven architecture.
• Created a Named Entity Recognition (NER) service for medical entity extraction using tools such as Spacy, Stanza, MetaMap, and Spacy Entity Ruler.
• Implemented SciSpacy entity linker for synonym extraction through APIs.
• Showcased an extensive understanding of FHIR (Fast Healthcare Interoperability Resources) interoperability extensions.

Worked in Computer Vision, as well as NLP, with expertise in the Medical and Financial sectors.

• Utilized Python's deep-learning capabilities to construct tailored models using TensorFlow, Keras, and PyTorch for particular business use cases.
• Utilized strategic methods to optimize system features for enhanced data collection and reporting.
• Utilized statistical and algebraic methods to interpret crucial information from collected data.
• Created and crafted professional data visualizations to effectively communicate findings from data analysis.
• Developed and implemented a deep learning model for Covid cough analysis using the Tensor Flow framework.
• Finding Abnormal veins from Electro venograms(CT scans-Medical imaging).
• Conducted customer segmentation analysis to identify spending patterns for Banking sector.
• Enhanced the efficiency and accuracy of extracting named entities from Electronic Medical Records.
• Achieved Named Entity Recognition for Financial documents in PDF format.
• Developed and deployed MTCNN for accurate and efficient facial recognition.

Executed IPV6 development tasks as a software engineer with Wipro technologies.

Responsibilities:

• Worked on the development of ZebOs Routing Software with IP Infusion client.
• ZebOS supports over 200 industry-specific network protocols adhering to globally recognized IEEE, IETF, and MEF standards and agreements. Protocols include Layer 2, MPLS, Layer 3, Carrier Ethernet (Metro Ethernet), Data Center Ethernet, and Integrated Management Software.
• Collaborated on the development and maintenance of Layer 3 Routing Protocols, such as Ospf, Rip, Arp, and Internet Protocols IPv4/v6.
• Executed protocol implementation using C Language for Linux platform.