Open to opportunities

Akash Makam

@akashmakam

Message

I'm building AI knowledge systems with GraphRAG, language models, and cloud technologies.

India

Message

What I'm looking for

I'm looking to build practical AI, data science, and cloud solutions with collaborative teams while continuing to learn new tools and create real-world impact.

I'm building a multi-agent AI platform at Suketa Technology Solutions for Ayurvedic medicinal plant identification and knowledge retrieval.

I developed a Neo4j knowledge graph and structured medicinal plant data, then implemented GraphRAG workflows that use graph traversal to ground AI responses in domain-specific context. My work includes Python, LangGraph, Qdrant, Docker, large language models, and data collection.

Previously, I explored AI-driven drug discovery at Sravathi AI Technology Pvt Ltd, studying NCE generation, ADMET prediction, and binding affinity estimation through Python-based machine learning and data analysis.

At IBM, I trained in AI, cloud computing, and RAG, and built an Agentic AI Health Assistant with IBM Granite, WatsonX Studio, and IBM Cloud Lite. I'm completing a Bachelor of Engineering in Computer Science and enjoy building practical, efficient, scalable solutions with teams.

Experience

Work history, roles, and key accomplishments

Current

AI-RAG Intern

Current

Suketa Technology Solutions

Feb 2026 - Present (6 months)

• Built a multi-agent AI platform for Ayurvedic medicinal plant identification and knowledge retrieval.
• Developed a Neo4j knowledge graph and structured Ayurvedic medicinal plant data for AI-powered knowledge discovery.
• Implemented Graph-based Retrieval-Augmented Generation (GraphRAG) workflows, utilizing graph traversal to ground AI responses in structured, domain-specific context.

Data Collection LangGraph Anansi Neo4j Qdrant Docker Python

AI Intern

Sravathi AI Technology Pvt Ltd

Sep 2025 - Oct 2025 (1 month)

• Explored the application of AI and machine learning techniques in drug discovery workflows.
• Studied NCE generation, ADMET property prediction, and binding affinity estimation using AI-driven approaches.
• Applied Python-based machine learning and data analysis techniques to pharmaceutical research use cases.

Drug Discovery Deep Learning

AI and Cloud Technologies Intern

IBM

Jul 2025 - Aug 2025 (1 month)

• Completed training in AI, Cloud Computing, and Retrieval-Augmented Generation (RAG) using IBM technologies.
• Gained hands-on experience with IBM WatsonX Studio, AI model deployment, and cloud-based AI workflows.
• Developed an Agentic AI Health Assistant using IBM Granite and IBM Cloud Lite services to provide symptom-based health insights and care recommendations.

AI Cloud Computing