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I am an AI and machine learning engineer with 6+ years delivering production analytics, NLP, and predictive systems across enterprise environments. I build end-to-end pipelines, governance, and monitoring that lift accuracy, cut latency, and improve reliability. I am proficient in Python, PyTorch, data engineering, and API services, and I drive regulatory and business outcomes through experimentation and scalable deployments with disciplined documentation and collaboration across global teams.…I am an AI and machine learning engineer with 6+ years delivering production analytics, NLP, and predictive systems across enterprise environments. I build end-to-end pipelines, governance, and monitoring that lift accuracy, cut latency, and improve reliability. I am proficient in Python, PyTorch, data engineering, and API services, and I drive regulatory and business outcomes through experimentation and scalable deployments with disciplined documentation and collaboration across global teams.

Prathyusha Pritila

AI Engineer, Data Scientist, Data Analyst, +2

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I am an AI and machine learning engineer with 6+ years delivering production analytics, NLP, and predictive systems across enterprise environments. I build end-to-end pipelines, governance, and monitoring that lift accuracy, cut latency, and improve reliability. I am proficient in Python, PyTorch, data engineering, and API services, and I drive regulatory and business outcomes through experimentation and scalable deployments with disciplined documentation and collaboration across global teams.…I am an AI and machine learning engineer with 6+ years delivering production analytics, NLP, and predictive systems across enterprise environments. I build end-to-end pipelines, governance, and monitoring that lift accuracy, cut latency, and improve reliability. I am proficient in Python, PyTorch, data engineering, and API services, and I drive regulatory and business outcomes through experimentation and scalable deployments with disciplined documentation and collaboration across global teams.

Available to hire

I am an AI and machine learning engineer with 6+ years delivering production analytics, NLP, and predictive systems across enterprise environments.

I build end-to-end pipelines, governance, and monitoring that lift accuracy, cut latency, and improve reliability. I am proficient in Python, PyTorch, data engineering, and API services, and I drive regulatory and business outcomes through experimentation and scalable deployments with disciplined documentation and collaboration across global teams.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Work Experience

AI Engineer at Dell Technologies

July 1, 2024 - Present

Engineered end-to-end ML pipelines for regulatory analytics; improved model accuracy by 32% across portfolios; standardized data ingestion, deployment, and monitoring; optimized NLP compliance models to raise precision by 27 points; enhanced governance, traceability, and release predictability.

AI/ML Engineer at Wipro

April 1, 2020 - August 1, 2022

Analyzed enterprise datasets, built dashboards and reports; improved decision accuracy by 32%; automated data pipelines and validation; created predictive models for sales and operations; partnered with business and engineering teams on 30 projects; established KPI frameworks and benchmarking dashboards.

ML Engineer at Accenture

January 1, 2018 - March 1, 2020

Deployed ML models using Python and PyTorch; improved NLP and classification accuracy by 28%; delivered generative AI prototypes for text summarization and intent detection adopted by two enterprise platforms; optimized DL pipelines reducing inference latency by 35 ms; designed prompt strategies for conversational AI; translated business problems into ML solutions, shortening delivery timelines by 25 days.

Intern Analyst at Accenture

May 1, 2016 - December 1, 2017

Contributed to data preprocessing pipelines in Python; supported baseline ML models; reviewed model performance with standard metrics; documented workflows and experiments; partnered with senior engineers to ensure consistent practices across analytics and ML project deliveries.