Software Developer
@softwaredeveloper3
Lead AI/ML engineer specializing in NLP, ML pipelines, and generative AI deployments.
What I'm looking for
I’m a Lead AI/ML Engineer with 5+ years of professional experience across Data Analytics, Machine Learning, Predictive Modelling, NLP, and Deep Learning. I work end-to-end through the data science life cycle—acquisition, extraction, pre-processing, feature engineering, statistical modeling, validation, and data visualization—while building and optimizing SQL and cloud-based analytics pipelines.
In my current role at Fifth Third Bank, I’ve developed multilingual conversational AI with Azure LUIS and Microsoft Language Studio, built enterprise chatbots using Bot Framework and Azure Cognitive Services, and improved fraud detection accuracy by 20% with XGBoost and reinforcement learning. I also lead LLM initiatives (RAG, reranking, LangChain with GPT-4/Claude/LLaMA) and deploy models via FastAPI, RTML serving systems, and Dockerized MLOps pipelines across AWS/GCP/Kubernetes.
Experience
Work history, roles, and key accomplishments
Lead AI/ML Engineer
Fifth Third Bank
Oct 2022 - Present (3 years 8 months)
Developed multilingual, voice-enabled chatbot and NLP systems using Azure LUIS and Microsoft Bot Framework, improving customer response times by 50%. Built and served deep learning and LLM applications (RAG, reranking, Whisper) and enhanced fraud detection accuracy by 20% using XGBoost and reinforcement learning techniques.
Senior AI/ML Engineer
North Carolina DHHS
Aug 2020 - Sep 2022 (2 years 1 month)
Built predictive ML models (logistic regression, SVM, random forests, PCA, KNN) and deployed them via Flask microservices using Python-based data pipelines. Established Azure MLOps CI/CD workflows and monitoring, and developed analytics dashboards with Tableau while applying statistical testing to evaluate model performance.
AI/ML Engineer
Amazon
Jun 2018 - Jul 2020 (2 years 1 month)
Improved sentiment analysis and contextual semantic search using NLP pipelines, increasing search rank algorithm accuracy by 5% and reducing bounce rate by 13% in some cases. Built predictive models for maintenance needs with XGBoost, reducing downtime by 15% and delivering $1M cost avoidance in the first year.
AI/ML Engineer
Apple
Dec 2017 - May 2018 (5 months)
Built mortgage default risk models by cleansing and transforming historical data, performing EDA, feature selection, and dimensionality reduction. Trained and validated predictive models, interpreted feature importance for stakeholder reporting, and deployed/monitored models in production environments with Oracle IAM support.
Data Engineer
Lululemon
Jan 2016 - Nov 2017 (1 year 10 months)
Built and enhanced a reporting data warehouse by extracting and integrating ERP data and partnering with reporting teams on data mart, universe, and report design. Implemented anomaly/outlier detection using statistical methods and set up GCP services (Data Proc, Storage, BigQuery) for proof-of-concept initiatives.
Data Engineer
FedEx
Jun 2014 - Dec 2015 (1 year 6 months)
Automated statistical data cleansing with Alteryx to improve efficiency and accuracy, and delivered end-to-end ETL integrations across upstream/downstream systems. Built and analyzed data flows using SQL Server Integration Services (SSIS) to support analytics and reporting needs.
Software Engineer
State of New York DOH
Jun 2010 - May 2014 (3 years 11 months)
Developed and maintained Java applications for web/desktop environments, including database schema design and enterprise integration via SOAP web services. Built and optimized SQL queries and stored procedures, and created RESTful services with unit testing using JUnit to reduce defects.
Education
Degrees, certifications, and relevant coursework
University of Vadodara
Bachelor of Science
Earned a Bachelor of Science (BSc) from the University of Vadodara in 1992.
Tech stack
Software and tools used professionally
Amazon Redshift
Azure Synapse
Apache Spark
QlikView
Microsoft Bot Framework
Microsoft Azure
Google Cloud Platform
Amazon S3
GitLab
Kubernetes
Azure Pipelines
NumPy
Pandas
PySpark
DB
MySQL
PostgreSQL
Gmail
.NET
JavaScript
Java
MATLAB
TensorFlow
PyTorch
scikit-learn
Keras
NLTK
FastAPI
Linux
Oracle Linux
Ansible
Azure Functions
Amazon RDS
Amazon Aurora
JUnit
dockerized
SQL
Azure Cosmos DB
Azure Blob Storage
XGBoost
SciPy
LangChain
Chi
Cosmos
Scale AI
Transform
Enhance
Make
Dynamic
Increase
Stack AI
Factory
Jan
Matter
Seaborn
Availability
Location
Authorized to work in
Job categories
Skills
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