Ramu Vadthyavath

AI Researcher

Bengaluru, Karnataka, India10 yrs 8 mos experience

Highly StableAI Enabled

Key Highlights

Over a decade of experience in AI/ML.
Expertise in NLP and Computer Vision.
Proven track record in driving scalable AI solutions.

Stackforce AI infers this person is a Machine Learning Engineer specializing in AI solutions across various domains.

Contact

Skills

Core Skills

Large Language Model Operations (llmops)Generative AiNatural Language Processing (nlp)MlopsTime Series AnalysisDeep Learning

Other Skills

Artificial Intelligence (AI)Large Language Models (LLM)Multimodal learningAI AgentsComputer VisionMachine LearningStatisticsData StructuresAlgorithmsPythonJavaC++CSQLNoSQL

About

I'm a seasoned Machine Learning Engineer with over a decade of experience in developing and deploying AI solutions and platforms across various domains, including Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Generative AI (LLMs, VLMs), Agentic AI, MLOps, LLMOps

Experience

10 yrs 8 mos

Total Experience

2 yrs 3 mos

Average Tenure

1 yr 8 mos

Current Experience

Avalara

Staff AI/ML Engineer

Sep 2024 – Present · 1 yr 8 mos · India · Remote

Large Language Model Operations (LLMOps)Generative AIArtificial Intelligence (AI)Large Language Models (LLM)Multimodal learningAI Agents

Microsoft

Machine Learning Engineer

Jun 2021 – Aug 2024 · 3 yrs 2 mos · Bengaluru, Karnataka, India · Hybrid

Azure AI platform | AutoML | Azure Machine Learning | Computer Vision | NLP | MLOps | Large Language models | Explainable AI | Software Engineering

Natural Language Processing (NLP)Artificial Intelligence (AI)Multimodal learningGenerative AIMLOpsLarge Language Models (LLM)+1

Rakuten

Senior Data Scientist

Jul 2020 – Jun 2021 · 11 mos · Bengaluru, Karnataka, India

Natural Language Processing | Ecommerce | Marketing

Natural Language Processing (NLP)Artificial Intelligence (AI)Generative AILarge Language Models (LLM)

Abb

AI Research Scientist

Dec 2017 – Jul 2020 · 2 yrs 7 mos · Bengaluru, Karnataka, India · On-site

Anomaly prediction algorithms | Expected time to Failure | Anomaly Characterization | Prescriptive analytics | Production optimization | Paper Machines
Multi-variate Time Series Analysis | Deep Learning | Sequential Models | | Unified framework for anomaly detection, and Root cause analysis

Time Series AnalysisDeep LearningArtificial Intelligence (AI)Machine Learning

Robert bosch engineering and business solutions private limited

Data Scientist

Jul 2015 – Nov 2017 · 2 yrs 4 mos · Bengaluru, Karnataka, India · On-site

Predictive modeling- Retail Industry/ Internet of Things (IoT) | Smart Cities | Autonomous Retail Solutions | AI-driven inventory management system | Indoor Localization | Anomaly Detection Framework for Smart Vending Machines | Machine learning-based anomaly detection framework | Natural Language Processing Platform for Automotive Data

Deep LearningNatural Language Processing (NLP)Artificial Intelligence (AI)Machine Learning

Quadloops technologies

Summer Internship

May 2014 – Jul 2014 · 2 mos · kochi, India · On-site

Software Developer:
Developed an application to find leading developers in a region using GitHub API V3, Neo4j
Created an Augmented Reality based android application with Metaio SDK and Vuforia SDK

Halseeon solutions private limited

Summer Internship

May 2013 – Jul 2013 · 2 mos · Greater Bengaluru Area · On-site

Software Developer:
Developed a Trading Application, Trade Monitor, for assisting investors in volatile markets
Integrated the Fundamental Analysis and Technical Analysis to add strength to technical signal
Automated the tool to generate Trading signals using Indicators, Indexes, Charts and Oscillators