Satyam Singh

AI Researcher

Mumbai, Maharashtra, India5 yrs 7 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

5+ years of experience in machine learning and AI.
Expert in designing scalable AI solutions for Fortune 500 clients.
Proven track record of enhancing productivity and revenue through AI.

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

Contact

myeducation303@gmail.com LinkedIn

Skills

Core Skills

Large Language Models (llm)Artificial Intelligence (ai)Generative Ai

Other Skills

AerodynamicsAgentic FrameworkAlgorithmsAmazon Web Services (AWS)Chatbot DevelopmentCommunicationComputer VisionData AnalysisData ScienceData StructuresDeep LearningDjangoEngineeringFastAPIGit

About

With 5+ years in machine learning, I design and deliver scalable AI solutions using LLMs, agentic frameworks, and computer vision. At IBM watsonx, I work with Fortune 500 clients to build MVPs and production-ready systems — from ReAct-based claim agents to generative search and coding assistants. Previously at CloudThat, I lead AWS -AI/ ML Team that helped Clients Building AWS Machine Learning Pipelines and deploying models/ Inferencing at scale with MLOps. 🔧 Expertise: LLMs, LangChain, Langgraph, RAG, Agentic Framework, NLP, CV, Transformers, Python, TensorFlow 🤝 Let’s connect — I’m always open to meaningful AI collaborations.

Experience

Ibm

Senior AI Engineer

Feb 2024 – Present · 2 yrs 1 mo · Bengaluru, Karnataka, India · On-site

As a core member of IBM’s Client Engineering team, I collaborate with Fortune 500 clients to uncover business challenges and design AI-powered solutions. I specialize in agentic frameworks, the MCP protocol, leading the development of scalable prototypes and MVPs that deliver measurable impact.
★ Led the design and delivery of an AI solution for a global insurance provider using ReAct-based LLM agents to manage complex claims inquiries, improving resolution speed and customer satisfaction.
★ Developed a generative AI-powered product search system for a major e-commerce client, resulting in a 12% increase in revenue through enhanced personalization.
★ Architected end-to-end AI solutions for enterprise clients, integrating large language models into customer support systems for real-time query resolution, intent detection, and summarization.
★ Built a coding assistant platform leveraging internal notebooks and generative AI to accelerate development workflows, achieving a 20% boost in developer productivity.
★ Founding member of the Watsonx Client Engineering team; instrumental in hiring and scaling the team by interviewing and recruiting of AI engineers, shaping the talent foundation of the organization.
★ Delivered technical workshops & client demos, translating complex AI capabilities into practical business value for stakeholders across industries.

Large Language Models (LLM)Agentic FrameworkGenerative AIPythonTensorFlowNLP+2