Gurunath P.

Data Scientist

United States5 yrs 10 mos experience

Highly StableAI Enabled

Key Highlights

Expert in Generative AI and Large Language Models.
Proven track record in optimizing NLP applications.
Strong leadership experience in mentoring teams.

Stackforce AI infers this person is a SaaS expert specializing in Generative AI and NLP solutions.

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Skills

Core Skills

Natural Language Processing (nlp)Deep Learning

Other Skills

API OptimizationAlgorithmsAmazon Web Services (AWS)Artificial Intelligence (AI)Artificial Neural NetworksAzure DatabricksBashCComputer ScienceComputer VisionContext EngineeringData AnalysisData AugmentationData IngestionData Mining

About

I leverage my expertise in Generative AI to develop scalable solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and deep learning techniques. My role involves creating end-to-end AI workflows, fine-tuning models, and optimizing deployment pipelines to ensure scalable, high-performance solutions. With an MS in Computing from the University of Utah, my academic focus in Artificial Intelligence and Machine Learning complements my professional experience. At Zoho, I contributed to NLP cloud applications by optimizing model performance and scaling systems to handle millions of daily requests. My work reflects a commitment to advancing AI applications for impactful, user-centered innovation.

Experience

5 yrs 10 mos

Total Experience

2 yrs 3 mos

Average Tenure

1 yr 4 mos

Current Experience

Tiger analytics

Data Scientist - Generative AI

Feb 2025 – Present · 1 yr 4 mos · United States

Exl

Senior AI Engineer

Sep 2024 – Feb 2025 · 5 mos · United States

As an AI Engineer / Data Scientist, I work on Generative AI for Health care applications using Large Language Models(LLMs), Retrieval Augmented Generation (RAG), Machine Learning and Deep Learning.

Zoho

Senior Machine Learning Engineer

Jun 2018 – Jul 2022 · 4 yrs 1 mo · Chennai, Tamil Nadu, India

My responsibilities as a Senior ML Engineer (Member Technical Staff) working on NLP cloud applications at Zoho Labs included:
Training and fine-tuning Deep Learning models for NLP
Deploying, scaling of Deep Learning models in production using acceleration frameworks
Improving throughput and reducing latency for the API, thereby saving costs by extracting maximum from existing compute.
Identifying bottlenecks in the end-to-end Machine learning pipeline and taking measures to mitigate them periodically
Analyzing user feedback for our micro-service and taking measures to improve KPIs
Analyzing requirements from product teams and designing ML experiments, conducting periodic literature reviews to understand and implement the state-of-the-art NLP in our production systems
Data-augmentation
Exploratory data analysis
Pre-processing and cleaning data
Apart from this, I was involved in discussions with product teams regarding the product cycle roadmap and API; and as a senior engineer, led a team of 3 engineers and mentored 3 interns.