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I am Tarun Kumar Punna, a results-driven ML and data science professional with 6+ years of experience across Generative AI, NLP, and cloud-based AI deployments. I design, train, and deploy scalable AI solutions using Vertex AI, GCP, AWS, and Azure, translating business needs into data-driven strategies and robust models. My work emphasizes end-to-end ML pipelines, RAG retrieval architectures, and enterprise-grade NLP systems, with a strong foundation in math, algorithms, and data engineering. I enjoy collaborating with cross-functional teams to deliver measurable impact and scalable AI products.…I am Tarun Kumar Punna, a results-driven ML and data science professional with 6+ years of experience across Generative AI, NLP, and cloud-based AI deployments. I design, train, and deploy scalable AI solutions using Vertex AI, GCP, AWS, and Azure, translating business needs into data-driven strategies and robust models. My work emphasizes end-to-end ML pipelines, RAG retrieval architectures, and enterprise-grade NLP systems, with a strong foundation in math, algorithms, and data engineering. I enjoy collaborating with cross-functional teams to deliver measurable impact and scalable AI products.

Tarun Kumar Punna

Data Scientist, AI Engineer, AI Developer, +2

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I am Tarun Kumar Punna, a results-driven ML and data science professional with 6+ years of experience across Generative AI, NLP, and cloud-based AI deployments. I design, train, and deploy scalable AI solutions using Vertex AI, GCP, AWS, and Azure, translating business needs into data-driven strategies and robust models. My work emphasizes end-to-end ML pipelines, RAG retrieval architectures, and enterprise-grade NLP systems, with a strong foundation in math, algorithms, and data engineering. I enjoy collaborating with cross-functional teams to deliver measurable impact and scalable AI products.…I am Tarun Kumar Punna, a results-driven ML and data science professional with 6+ years of experience across Generative AI, NLP, and cloud-based AI deployments. I design, train, and deploy scalable AI solutions using Vertex AI, GCP, AWS, and Azure, translating business needs into data-driven strategies and robust models. My work emphasizes end-to-end ML pipelines, RAG retrieval architectures, and enterprise-grade NLP systems, with a strong foundation in math, algorithms, and data engineering. I enjoy collaborating with cross-functional teams to deliver measurable impact and scalable AI products.

Available to hire

I am Tarun Kumar Punna, a results-driven ML and data science professional with 6+ years of experience across Generative AI, NLP, and cloud-based AI deployments. I design, train, and deploy scalable AI solutions using Vertex AI, GCP, AWS, and Azure, translating business needs into data-driven strategies and robust models.

My work emphasizes end-to-end ML pipelines, RAG retrieval architectures, and enterprise-grade NLP systems, with a strong foundation in math, algorithms, and data engineering. I enjoy collaborating with cross-functional teams to deliver measurable impact and scalable AI products.

Skills

Experience Level

Expert

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Intermediate

Work Experience

Software Developer – Machine Learning at IBM Canada Ltd

October 1, 2021 - Present

Designed and deployed NLP-based text summarization pipelines to improve developer comprehension of legacy applications, applying transformer-based language models for enterprise use cases. Led research into contextualized embeddings and semantic search techniques for conversational AI and recommendation features, and designed end-to-end ML deployments using Google Cloud Vertex AI to deliver scalable AI applications with performance optimizations. Planned, implemented, and deployed multiple NLP/ML models including summarization, sequence labeling, entity/text classification, and semantic matching, aligned with core NLP engineering best practices. Responsible for end-to-end ML solution development from data scoping and processing to model optimization and deployment. Built multi-domain conversational AI systems, including chatbot NLU and recommender system integration.

Data Scientist | Machine Learning Engineer at Upwork Inc

September 1, 2020 - October 1, 2021

Built and deployed production-grade ML/NLP models and APIs for clients across Retail, Airlines, Healthcare, and Finance, spanning conversational AI, semantic search, and text classification. Delivered 20+ end-to-end projects with a 95%+ client success rate. Independently scoped, built, and integrated ML solutions into client-facing systems via REST APIs, demonstrating enterprise AI integration experience.

Data Scientist | Machine Learning Engineer at EcoTech Windows & Doors

April 1, 2020 - August 1, 2020

Developed a complete ML-based recommendation system to optimize salesperson assignment based on order type, size, and location, achieving 80% accuracy and boosting sales by 33%. Built a web app as the interface to the model and deployed the model on the client’s system, enabling automated order assignment. Applied NLP to analyze customer feedback for pain points.

Senior Data Analyst at WashApp

May 1, 2017 - December 1, 2019

Defined KPIs by translating business workflows into data insights and implemented reporting automation through data preparation, modeling, and visualization. Reduced manual data extraction by 20% by developing an automated Excel-based self-service reporting tool. Used data mining to analyze support data and drive 20%+ cost reductions. Independently designed complex SQL queries for billing data across systems to increase billing accuracy and provided end-to-end data analytics support for Operations and Program Teams with ETL jobs and dynamic dashboards.