Vamshi Thotempudi

ML Engineer

https://talent.gravityer.com/vamshi-thotempudi

Senior / Lead Applied Scientist @ Microsoft Research

Microsoft

Key Strengths

Extensive experience (13+ years) in Machine Learning and Applied AI, directly aligning with the ML Engineer target role.
Proven track record in developing and deploying ML solutions, including LLMs, RAG frameworks, and MLOps platforms at major tech companies (IBM, Microsoft).
Strong background in AIOps, Speech-to-Text models, and entity extraction, demonstrating diverse application of ML.
Experience with optimizing ML pipelines, data processing, and model quality evaluation.
Demonstrated ability to deliver measurable business impact (e.g., 84% capture of risky deployments, 75% reduction in model building effort, 68% cost reduction).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate has a strong background in large enterprise environments (IBM, Microsoft) with a focus on product development and applied research. The diversity of projects, from AIOps to Speech-to-Text and medical text analysis, indicates adaptability and a broad interest in ML applications. The MLOps platform development experience suggests a collaborative mindset and understanding of cross-functional team dynamics. The patent application also shows an innovative drive. The fit for a senior ML Engineer role appears strong given the depth and breadth of experience.

Soft Skills & Operational Fit

The candidate's experience descriptions highlight collaboration (MLOps platform development), problem-solving (incident remediation, change risk prediction), and a focus on practical application and business impact. The detailed project descriptions suggest strong communication skills in conveying technical achievements and their value. The role as a Graduate Teaching Assistant also indicates an ability to explain complex topics.

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About

● Senior Machine Learning Engineer ● Interested in artificial intelligence (AI), machine learning (ML), and software development ● MS in Computer Science and B.Tech in Computer Science and Engineering ● Skills: Python, Scikit-learn, TensorFlow, Kubeflow, Apache Kafka, FastAPI, Docker, K8s, ELK, Microservices, Java, DevOps, MLOps, Object Storage

Top Skills

Natural Language Processing (NLP)Deep LearningNatural Language ProcessingMachine LearningPythonMlopsProgrammingWeb DevelopmentData StructuresSoftware DevelopmentAlgorithmsAgileCloud ComputingFastapiDockerS3Linuxibm-cloudJavaSQLJavaScriptC++JenkinsScikit LearnApache KafkaKubernetesDevOps

Experience

Microsoft

Senior / Lead Applied Scientist

March 1, 2025 – Present

Redmond, Washington, United States · Remote

IBM

Senior Machine Learning Engineer

August 1, 2019 – February 1, 2025

IBM

Machine Learning Engineer

November 1, 2014 – August 1, 2019

University of Minnesota

Graduate Research Assistant

May 1, 2013 – July 1, 2013

University of Minnesota

Graduate Teaching Assistant

August 1, 2012 – May 1, 2014

Key Strengths

Extensive experience (13+ years) in Machine Learning and Applied AI, directly aligning with the ML Engineer target role.
Proven track record in developing and deploying ML solutions, including LLMs, RAG frameworks, and MLOps platforms at major tech companies (IBM, Microsoft).
Strong background in AIOps, Speech-to-Text models, and entity extraction, demonstrating diverse application of ML.
Experience with optimizing ML pipelines, data processing, and model quality evaluation.
Demonstrated ability to deliver measurable business impact (e.g., 84% capture of risky deployments, 75% reduction in model building effort, 68% cost reduction).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Vamshi Thotempudi

Key Strengths

Cultural & Operational Fit

About

Top Skills

Skills

Education

Experience

Certifications

Key Strengths

Cultural & Operational Fit