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AI/ML Architect

$15/hr Starting at $500

As an AI/ML Architect, I specialize in designing and implementing AI/ML solutions that align with project requirements, budget constraints, and delivery timelines. My responsibilities include assessing model feasibility, optimizing infrastructure, and ensuring scalable, cost-effective deployments that meet client objectives.

A critical part of my role is designing and integrating APIs that enable seamless communication between client-facing applications and backend AI systems. These APIs are tailored to specific business use cases, ensuring secure, reliable, and efficient interactions with AI components.

Our offerings are centered on delivering cutting-edge Generative AI (GenAI) capabilities, using the latest advancements in artificial intelligence to solve real-world challenges. We provide customized solutions based on the following components:


Large Language Models (LLMs): We utilize and fine-tune advanced LLMs for tasks such as summarization, content creation, classification, and intelligent search.

Retrieval-Augmented Generation (RAG): RAG pipelines are implemented to boost the factual grounding of LLM outputs by retrieving relevant knowledge from external sources.

Agentic RAG: We build autonomous agents that use RAG frameworks for iterative planning, retrieval, and generation, enhancing adaptability and complex task resolution.

Time Series Data Modeling: For domains requiring forecasting or anomaly detection, we apply models designed for temporal data, supporting industries like finance, energy, and manufacturing.

In addition, we offer cloud-based AI/ML and data engineering solutions on AWS, utilizing services like Amazon SageMaker, AWS Glue, Lambda, S3, Redshift, and EMR. These solutions ensure seamless data pipelines, scalable training and inference, and robust model deployment.

Our approach is client-centric—focused on aligning with both functional and non-functional requirements while maximizing return on investment through innovation, reliability, and performance.


For deeper collaboration or project discussions, we welcome the opportunity to connect further.

About

$15/hr Ongoing

Download Resume

As an AI/ML Architect, I specialize in designing and implementing AI/ML solutions that align with project requirements, budget constraints, and delivery timelines. My responsibilities include assessing model feasibility, optimizing infrastructure, and ensuring scalable, cost-effective deployments that meet client objectives.

A critical part of my role is designing and integrating APIs that enable seamless communication between client-facing applications and backend AI systems. These APIs are tailored to specific business use cases, ensuring secure, reliable, and efficient interactions with AI components.

Our offerings are centered on delivering cutting-edge Generative AI (GenAI) capabilities, using the latest advancements in artificial intelligence to solve real-world challenges. We provide customized solutions based on the following components:


Large Language Models (LLMs): We utilize and fine-tune advanced LLMs for tasks such as summarization, content creation, classification, and intelligent search.

Retrieval-Augmented Generation (RAG): RAG pipelines are implemented to boost the factual grounding of LLM outputs by retrieving relevant knowledge from external sources.

Agentic RAG: We build autonomous agents that use RAG frameworks for iterative planning, retrieval, and generation, enhancing adaptability and complex task resolution.

Time Series Data Modeling: For domains requiring forecasting or anomaly detection, we apply models designed for temporal data, supporting industries like finance, energy, and manufacturing.

In addition, we offer cloud-based AI/ML and data engineering solutions on AWS, utilizing services like Amazon SageMaker, AWS Glue, Lambda, S3, Redshift, and EMR. These solutions ensure seamless data pipelines, scalable training and inference, and robust model deployment.

Our approach is client-centric—focused on aligning with both functional and non-functional requirements while maximizing return on investment through innovation, reliability, and performance.


For deeper collaboration or project discussions, we welcome the opportunity to connect further.

Skills & Expertise

APIArtificial IntelligenceDatabase DesignDjango FrameworkDjango Rest FrameworkFlask Web FrameworkGitMatplotlibMobile ResponsiveMySQLNumpyPandasPythonRequirements AnalysisSQLWeb Scraping

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