Mohit Harpalani

AI Engineer with 3+ years of experience designing, developing, and deploying AI systems across Agentic AI, Generative AI, Retrieval-Augmented Generation (RAG), Computer Vision, OCR, and Workflow Automation. Experienced in building multi-agent architectures, intelligent document processing platforms, semantic search systems, and real-time computer vision applications. Proven ability to reduce manual effort by over 80%, optimize AI inference pipelines, and deliver scalable enterprise solutions.

Strong expertise in Python, FastAPI, LangChain, LangGraph, MCP, YOLOv8, PySpark, vector databases, and AI system integration.

System Engineer at Tata Consultancy Services (TCS) (2024-01 – Present)

• Built and deployed OCR-based Intelligent Document Processing platforms that reduced manual review effort by over 80% and accelerated document processing workflows.
• Developed real-time Automatic Number Plate Recognition (ANPR) systems using YOLOv8, OpenCV, and OCR technologies for automated vehicle verification and fraud detection.
• Designed and deployed enterprise Retrieval-Augmented Generation (RAG) solutions using LangChain, LangGraph, FAISS, and vector search for intelligent document retrieval and semantic search.
• Architected multi-agent AI workflows using MCP and tool-calling frameworks to automate business processes and support complex decision-making operations.
• Optimized AI inference pipelines through asynchronous processing and API enhancements, improving responsiveness, scalability, and production performance.
• Developed reusable FastAPI-based AI microservices enabling rapid deployment and seamless integration of AI capabilities across enterprise applications.
• Collaborated with cross-functional teams to deploy, maintain, and scale AI-powered solutions in production environments.

Python Developer at Hplani Associates (2023-06 – 2023-12)

• Developed Python automation tools and ETL workflows that reduced repetitive manual operations by 60–75%.
• Built scalable web scraping and structured data extraction pipelines using Selenium, APIs, and Python automation frameworks.
• Designed validation, transformation, and batch-processing systems for large-scale structured datasets.
• Automated business workflows, improving consistency, operational efficiency, and turnaround time.

Bachelor of Technology (B.Tech) in Computer Science Engineering – IES College of Technology, Bhopal