Bholendra Pratap Singh

AI Researcher

Noida, Uttar Pradesh, India1 yr 2 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • Expert in developing Agentic AI systems.
  • Strong background in Generative AI and LLM architectures.
  • Passionate about AI-driven research and innovation.
Stackforce AI infers this person is a specialist in AI-driven solutions focusing on Generative and Agentic AI systems.

Contact

Skills

Core Skills

Agentic AiGenerative Ai

Other Skills

Python (Programming Language)LangChainLangGraphCrewAILangfuseLangSmithStatisticsFeature EngineeringComputer ScienceMicrosoft Power BIAI EthicsArtificial Intelligence ApplicationsBusiness AcumenCloud ComputingStrategic Business Units

About

I’m an AI Engineer at TCS, exploring the intersection of Generative and Agentic AI to advance intelligent, adaptive, and autonomous systems. My work bridges practical development and research-oriented innovation, focusing on how large language models and agentic architectures can enable reasoning, collaboration, and decision-making in dynamic environments. I experiment with frameworks such as LangGraph, CrewAI, and LangChain, integrating Langfuse and LangSmith for observability, tracing, and evaluation of LLM behavior. My goal is to design modular multi-agent systems capable of self-organization, contextual understanding, and task coordination across complex workflows. I’m deeply passionate about exploring emerging paradigms in LLM alignment, autonomous agent frameworks, and AI system orchestration, contributing to the evolution of next-generation intelligent systems. 🚀 Research & Innovation Interests: Agentic AI and Autonomous Reasoning Systems Generative AI & Large Language Model Architectures Multi-Agent Collaboration & System Coordination AI Observability, Evaluation, and Optimization (Langfuse / LangSmith) Applied Research in Adaptive and Context-Aware Intelligence I’m always eager to collaborate on innovative projects, research discussions, and AI-driven explorations that push the boundaries of machine intelligence and human–AI synergy.

Experience

1 yr 2 mos
Total Experience
1 yr 2 mos
Average Tenure
1 yr 2 mos
Current Experience

Tata consultancy services

AI Engineer

Apr 2025Present · 1 yr 2 mos · New Delhi, Delhi, India · On-site

  • Designed and developed Agentic AI systems using LangGraph, CrewAI, and LangChain to create autonomous, reasoning-driven agents.
  • Integrated MCP servers for dynamic tool access and monitoring across multi-agent environments.
  • Leveraged Langfuse and LangSmith for comprehensive tracing, evaluation, debugging, and observability of LLM workflows.
  • Engineered modular multi-agent architectures capable of collaborative decision-making and adaptive task execution.
  • Built context-aware pipelines combining Generative AI and Agentic reasoning for research automation, content generation, and intelligent orchestration.
  • Developed self-improving agent loops to enhance performance, adaptability, and interaction efficiency.
Python (Programming Language)LangChainAgentic AIGenerative AI

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Education

Galgotias University

Master of Computer Applications - MCA — Computer Engineering

Sep 2022Jun 2024

Chhatrapati Shahu Ji Maharaj University

Bachelor Of Computer Applications — Computer Science

Jan 2018Jan 2021

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