Harsimar Singh

AI/ML Engineer, LLM Specialist, and Data Infrastructure Expert with 5+ years of experience designing and deploying scalable AI systems, cloud-native platforms, and enterprise-grade data pipelines. Currently working as a Consultant (AI/ML) at KPMG India, leading the development of the CPGRAMS AI Chatbot for DARPG — an intelligent voice-enabled grievance management platform serving citizens across India. Responsible for end-to-end backend architecture, LLM optimization, MLOps infrastructure, production deployments, CI/CD automation, monitoring systems, and scalable AI data pipelines on Azure cloud infrastructure.

Specialized in Large Language Models, Retrieval-Augmented Generation (RAG), conversational AI, agentic workflows, prompt engineering, and distributed AI systems. Hands-on experience fine-tuning and optimizing state-of-the-art models including GPT-OSS, LLaMA, VisionEncoderDecoder architectures, BERT, and multimodal AI systems. Strong expertise in building production-ready AI applications using FastAPI, Kubernetes, Docker, LangChain, PyTorch, TensorFlow, Kafka, Airflow, and cloud-native microservices.

Previously co-founded an AI startup focused on Indic language AI and multimodal machine learning solutions, where responsibilities included developing scalable AI backends, integrating OpenAI APIs into production systems, improving Punjabi language pipelines, and implementing advanced reasoning strategies such as chain-of-thought and self-consistency prompting.

Prior experience includes working at Rapido as a Senior Data Analyst/Data Engineer, where large-scale ETL systems, automated data quality pipelines, observability tooling, and cost-optimized cloud data infrastructure were built and maintained. Also worked as a Software Developer at ZoloStays, developing distributed systems and workflow automation solutions that significantly improved operational efficiency.

Strong background in scalable backend systems, big data processing, MLOps, API development, and enterprise AI deployment. Comfortable working in fully remote and cross-functional environments, owning projects end-to-end from architecture and experimentation to deployment and monitoring. Skilled in Python, SQL, C++, Spark, Hadoop, PostgreSQL, MongoDB, AWS, GCP, Azure, LangChain, FastAPI, Kubernetes, CI/CD, and modern AI engineering workflows.

M.Tech in Computer Science from Indian Institute of Technology Ropar with strong foundations in system design, distributed computing, machine learning, and scalable software engineering.