Akshay Subramaniam

AI Researcher

Los Angeles, California, United States11 yrs 1 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in AI workflows and model-agnostic systems.
Proven track record in developing AI-powered tools.
Strong background in data science and analytics.

Stackforce AI infers this person is a Machine Learning Engineer with expertise in SaaS and AI-driven solutions.

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Skills

Core Skills

Machine LearningArtificial Intelligence (ai)Full Stack DevelopmentData ScienceNatural Language Processing (nlp)Analytics

Other Skills

AWS LambdaAWS SageMakerAmazon CloudWatchAmazon CognitoAmazon DynamodbAmazon RedshiftAmazon S3Amazon Web Services (AWS)Apache SparkApplied MathematicsData AnalysisData AnalyticsData CleaningData IngestionData Visualization

About

Currently a Machine Learning Engineer at Capitol, contributing to the development of agentic AI workflows that are model-agnostic and integrated into enterprise systems to deliver trusted, decision-grade intelligence at scale.

Experience

11 yrs 1 mo

Total Experience

1 yr 5 mos

Average Tenure

8 mos

Current Experience

Capitol

Machine Learning Engineer

Oct 2025 – Present · 8 mos

Capitol powers agentic AI workflows that are model-agnostic, governed, and embedded within enterprise systems: delivering trusted, decision-grade intelligence at scale.

AWS LambdaAmazon CognitoAmazon S3GraphQLAmazon Dynamodbamplify+47

Chathire.ai

Founding ML and Full Stack Engineer

Dec 2023 – Oct 2025 · 1 yr 10 mos · Remote

Led product ideation for AI-powered candidate sourcing
Developed AI-powered candidate sourcing tools to streamline hiring processes
Implemented analytics and insights with GenAI and LLMs
Designed and deployed pipelines at scale on AWS
Reported directly to the CEO and CTO, providing strategic technical input
Engineered prompts and trained LLMs to enhance AI model accuracy and effectiveness

Amazon Web Services (AWS)AWS LambdaLarge Language Models (LLM)Generative AIAmazon CognitoAmazon S3+12

Audiograph

Data Scientist

Nov 2021 – Nov 2023 · 2 yrs

Developed in a full stack and client facing role a “Spotify for Podcasts”: Web3 based podcasting platform
Analyzed user behavior, identifying key patterns to optimize engagement strategies
Designed and conducted A/B tests to evaluate the impact of new platform features
Leveraged NLP techniques to analyze podcast audio content

GPT-3VisualizationNatural Language Processing (NLP)Python (Programming Language)AnalyticsData Science+5

Omnicom media group

2 roles

Senior Marketing Science Analyst

Promoted

Apr 2020 – May 2021 · 1 yr 1 mo · Los Angeles, California, United States

Led the Diverse Segments team in a client-facing role for a large bank
Built Multi-Touch Attribution and Media Mix Models in Python
Devised measurement frameworks using A/B testing to identify key KPIs
Automated ETL workflows
Presented results directly to technical and non-technical stakeholders

AnalyticsData IngestionStatisticsData CleaningData Science

Marketing Science Analyst

Apr 2019 – Apr 2020 · 1 yr · Los Angeles, California, United States

• Provided analytical marketing solutions for a leading video game publisher

StatisticsAnalytics

Kargo

Data Science Intern

Jun 2017 – Dec 2017 · 6 mos · New York City Metropolitan Area

Built a SOAP client in Scala
Developed ensemble machine learning and statistics based forecasting models in R to drive future business strategies, resulting in a 12% increase in forecast accuracy

Sidney kimmel cancer center at jefferson health

Research Assistant

Jun 2015 – Sep 2015 · 3 mos · Philadelphia, PA

Synthesized a novel nigerose polymer as an α1,3-dextran mimic
Modeled trends in properties of this polymer to identify a specific dosage that induces a response or tolerance in a mouse system
Composed formal report on the findings and given co-author credit in a research paper

Sigma nu fraternity, inc.

Social Chair

Jan 2015 – Jan 2016 · 1 yr · Dartmouth College, Hanover, NH

Planned social and philanthropic events with other groups on campus
Led weekly meetings and handled day-to-day activities of the fraternity

Thayer school of engineering at dartmouth

Research Assistant

Jun 2014 – Sep 2014 · 3 mos · Hanover, NH

Independently synthesized and purified titania nanoparticles
Analyzed trends in properties of these nanoparticles to test their viability for use in novel cancer treatments
Composed quantitative formal reports on the results of synthesis and analysis