Bhupendra Singh

About Bhupendra Singh

AI-First Enterprise Architect with 17.5+ years of experience in modernizing global systems using Java 17/21, Spring Boot, and cloud native microservices. Recently pivoted into Generative AI with hands-on expertise in Python, LangChain, LLMOps, RAG, Vector DBs, Fine-Tuning, and Cloud AI deployments across AWS Bedrock, Azure OpenAI, and GCP Vertex AI. 3.5 years focused on Python, Machine Learning, and Generative AI solutions.Skilled in building LLM-powered applications, multi-agent systems, Retrieval-Augmented Generation (RAG) pipelines, and cloud-native AI deployments across AWS, Azure, and GCP.Hands-on expertise with Python’s AI/ML ecosystem: NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, Hugging Face, Transformers, LangChain, Sentence-Transformers.Proficient in GenAI frameworks: LangChain, LlamaIndex, CrewAI, LangGraph, Autogen.Experienced in designing and deploying:RAG-based chatbots, Text summarization toolsAgentic AI solutions integrated with enterprise data and APIs.Strong background in cloud AI integration and deployment: AWS-Bedrock, SageMaker, Lambda, API Gateway,GCP: Vertex AI,Azure: OpenAI,Containerization & orchestration: Docker, Kubernetes, Serving frameworks: FastAPI, TorchServeSkilled in LLMOps/MLOps practices: Experiment tracking: MLflow,Fine-tuning techniques: LoRA, QLoRA.Monitoring and Observability: Implemented solutions using ELK Stack, Prometheus, OpenTelemetry, Kubernetes JMX Dashboard, and Grafana for real-time performance monitoring, log aggregation, and troubleshooting.Security and Vulnerability Management: Managed Docker container vulnerabilities using AquaSec, BlackDuck, CAST, and Trivy; resolved VAPT, SCA, SAST, and DAST issues. Performance Optimization: Expertise in performance benchmarking using VisualVM, JProfiler, and JMC, and memory analysis using Eclipse MAT and JFR to resolve memory leaks and optimize performance. Payment Gateway Integration: Successfully integrated with CBD Bank, Mashreq Bank, ADIB Bank, and ENBD Bank. AI Technologies POC: Led Proof of Concepts (POCs) for AI technologies like Codium, GitHub Copilot, and Magicoder. Adept at bridging traditional software engineering with next-gen AI-first architectures, enabling enterprises to adopt secure, scalable, and production-ready GenAI solutions. Database Expertise: Extensive experience with RDBMS such as Oracle, MySQL, PostgreSQL, and Redis, along with Big Data databases like Cassandra, Elasticsearch, MongoDB, and Neo4j. Messaging and Event Streaming: Messaging solutions using Apache ActiveMQ, RabbitMQ, and Kafka.

Experience

1. Senior Specialist - Enterprise Architect

   LTIMindtree

   Jul 2021 — Present · New Delhi, IN

Education

• IEC College of Engineering and Technology

  Master of Computer Applications (M.C.A.), Computer Software and Media Applications

  2003 — 2006

• INSTITUTE OF PROFESSIONAL EXCELLENCE AND MANAGEMENT, GHAZIABAD

  Bachelor of Computer Application, Computer Engineering

  2000 — 2003