Summary
Anand Shende is an AI Architect with 9+ years of hands-on experience building end-to-end AI systems that bridge research and production, specializing in LLMs, Agentic AI, GenAI, CV, NLP and scalable MLOps. He’s led cross-functional teams to deliver high-impact solutions—from fine-tuning YOLO and Whisper for domain adaptation to designing RAG-enabled semantic search and agentic workflows using LangChain and vectorized OpenSearch. Anand combines deep engineering (PyTorch, Hugging Face, DeepSpeed, MLflow) with pragmatic orchestration and observability (Kubernetes, Prometheus, Grafana, Langfuse) to ensure low-latency, reliable deployments across regions. Notably, he improved OCR and detection pipelines to enterprise accuracy targets and adapted ASR for Indian speech patterns, demonstrating a focus on localization and real-world robustness. He actively contributes to open-source and research initiatives and favors explainable, production-ready AI that aligns technical design with measurable business outcomes.
9 years of coding experience
8 years of employment as a software developer
Bachelor’s Degree, Computer Science, 63.5, Bachelor’s Degree, Computer Science, 63.5 at AISSMS IOIT
English, Hindi, Marathi