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@shruthinair
Expert in Gen AI and ML engineering with strong data science skills.
I am a dedicated GenAI Engineer with extensive experience in machine learning, data science, and data engineering. My expertise lies in developing advanced AI solutions and predictive models, particularly within the telecom and healthcare sectors. I have a proven track record of leveraging big data technologies and cloud platforms to create scalable AI/ML deployments, ensuring that my projects not only meet but exceed business expectations.
Throughout my career, I have successfully designed and implemented various machine learning algorithms, focusing on natural language processing and computer vision. My role at Apple involved creating innovative solutions for contract analysis, where I utilized advanced text analytics and machine learning techniques to automate and enhance legal workflows. I thrive in collaborative environments, working closely with cross-functional teams to integrate AI systems into core business processes, and I am committed to continuous learning and improvement in the rapidly evolving field of AI.
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Work history, roles, and key accomplishments
Apple
Feb 2025 - Present (9 months)
Designed and implemented pre- and post-processing guardrails for an internal contract summarization engine, leveraging NLTK and other NLP/ML algorithms for enhanced performance. Led the creation of a golden dataset to evaluate and improve Apple’s proprietary Apple Foundation Model (AFM) for legal contract analysis. Additionally, designed and deployed a multimodal video parsing pipeline for interna
AT&T
Feb 2023 - Feb 2025 (2 years)
Created and optimized NLP models for customer sentiment analysis and chatbot development, applying embedding models and vector databases to enhance search capabilities. Implemented and fine-tuned machine learning models for network traffic analysis, fraud detection, and predictive maintenance, utilizing RAG architecture to improve information retrieval. Automated cloud infrastructure deployment fo
All Scripts (Veradigm)
Jan 2020 - Present (5 years 10 months)
Developed and implemented machine learning models for patient risk prediction and treatment outcome analysis using Python libraries and Apache Spark. Performed text analytics and natural language processing on medical literature and patient records to extract valuable insights. Designed and implemented PySpark-based ETL workflows, ensuring compliance with HIPAA regulations, and utilized Keras for
Wipro Technologies
Aug 2018 - Present (7 years 3 months)
Wrote and optimized SQL queries and assisted in developing ETL/ELT processes using SSIS for financial transaction data. Created and maintained data visualizations and dashboards using Tableau to display key banking metrics. Gained exposure to big data technologies like Hadoop and Spark for processing large volumes of banking data, and assisted in managing CI/CD pipelines using GitHub and Jenkins.
Degrees, certifications, and relevant coursework
Bachelor of Technology, Technology
Completed a Bachelor of Technology degree, gaining foundational knowledge and practical skills in engineering. Engaged in coursework and projects relevant to the field of study.
Master of Science, Computer Science
Pursued a Master of Science in Computer Science, focusing on advanced topics and research within the field. Developed a strong foundation in theoretical and applied computer science principles.
Software and tools used professionally
Azure HDInsight
Azure Synapse
Apache Spark
AWS Glue
Talend
D3.js
Bokeh
Azure Storage
GitHub
GitLab
Kubernetes
Jenkins
GitLab CI
Jupyter
NumPy
Pandas
PySpark
MySQL
PostgreSQL
MongoDB
SQLite
Cassandra
Hadoop
Gmail
Django
Spring Boot
Databricks
OpenCV
Redis
Terraform
Visual Studio
PyCharm
Azure DevOps
Jira
Java
MATLAB
Azure Machine Learning
TensorFlow
PyTorch
MLflow
scikit-learn
Keras
Kubeflow
Streamlit
NLTK
Kafka
GraphQL
Elasticsearch
Ansible
RStudio
Airflow
GuardRails
Microsoft Power BI
SQL
SciPy
Hugging Face
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