Hemangi Chhaya

AI Researcher

Bengaluru, Karnataka, India10 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in designing multi-agent AI systems.
Proficient in LLM integration and prompt engineering.
Strong background in data analytics and visualization.

Stackforce AI infers this person is a SaaS-focused AI Engineer with expertise in machine learning and data analytics.

Contact

Skills

Core Skills

Artificial Intelligence (ai)Machine Learning

Other Skills

Data AnalysisCrewAIn8nOpenAIAWS BedrockDeep LearningLLMPrompt EngineeringModel OptimizationData AnalyticsData VisualizationVisualizationData ScienceMySQLGoogle BigQuery

About

At WNS-Vuram, I contribute to designing and deploying multi-agent AI systems using CrewAI, optimizing workflows with tools like n8n, OpenAI, and AWS Bedrock. My work focuses on leveraging LLM integration and prompt engineering to drive automation and scalability in real-time business solutions. My academic background includes a B.Tech in Information Technology and ongoing studies in Data Science and Machine Learning at Scaler. With skills in deep learning, artificial intelligence, and API development, I aim to bridge innovative AI technologies with practical applications that enhance operational efficiency.

Experience

10 mos

Total Experience

10 mos

Average Tenure

10 mos

Current Experience

Wns-vuram

AI Engineer

Jul 2025 – Present · 10 mos · Bengaluru, Karnataka, India · Hybrid

Designed and deployed multi-agent AI systems using CrewAI, enabling collaborative task execution across specialized agents. Built and orchestrated AI agent workflows with tools like n8n, OpenAI, and AWS Bedrock, enhancing
automation and scalability.Gained hands-on experience in LLM integration, prompt engineering, and agent-based
architecture for real-time business solutions.

Artificial Intelligence (AI)Data Analysis

Persist ventures

AI Engineer

Mar 2025 – Jul 2025 · 4 mos · Remote

I design and deploy LLM-powered conversational agents with a focus on prompt engineering, context retention, and model optimization using quantization and offloading techniques. I collaborate with cross-functional teams to build scalable AI solutions and evaluate model performance through detailed analysis, driving continuous improvement and innovation in real-world NLP applications.

Machine LearningDeep Learning