Amit Anand

Spearheaded multiple GenAI initiatives, seamlessly integrating Large Language Models (LLMs) into enterprise data and analytics workflows to enhance strategic decision-making.

Developed an internal GPT + LangChain + Azure OpenAI chatbot with Vector DB, enabling contextual Q&A across documentation and reducing information retrieval time by 60%.

Implemented a Retrieval-Augmented Generation (RAG) framework, enhancing model explainability and automating compliance document generation in alignment with the EU AI Act.

Built a GenAI-powered code assistant utilizing prompt chaining for Databricks notebooks, significantly improving engineering productivity for ETL and ML development.

Automated Databricks workspace provisioning using Terraform and Jenkins, reducing deployment time from 2 weeks to 2 days, enhancing development agility.

Migrated multiple data pipelines from Azure Data Factory to Databricks Jobs, resulting in a 20% reduction in operational costs.

Mentored cross-functional engineers on GenAI, prompt engineering, and LangChain best practices, fostering advanced skill development across the team.

Led speech and sentiment analysis projects across chat, email, and calls, improving operational efficiency by 40% for customer service insights.

Spearheaded successful chatbot Proof-of-Concepts (POCs) using Rasa and Dialogflow, integrating them with APIs via cloud functions to enhance customer interaction.

Architected and implemented a warehouse computer vision tracking system utilizing YOLO and OpenCV, optimizing inventory management and logistics.

Developed AI-driven thermal detection systems for COVID-19 monitoring, enhancing workplace safety and compliance.

Implemented blockchain-powered vending machines using the BTC Lightning Network, pioneering innovative payment solutions.

Advised on Hyperledger Fabric implementation for crime record management, achieving a 50% efficiency gain in data processing and retrieval.

Led the adoption of Agile practices and GitLab integration, significantly increasing delivery velocity for critical projects.

Designed and developed a secure PIIR (Personally Identifiable Information Redaction) crime reporting platform using Django and PostgreSQL.

Drove the conceptualization and development of sustainable technology applications, establishing the core business model and operational framework.

Managed initial business operations, including strategic planning and resource allocation, to launch and grow the agrotech venture.

Developed a robust omnichannel eCommerce system, significantly improving customer engagement and sales channels.

Successfully integrated the eCommerce system with Microsoft Dynamics, streamlining business processes and data flow.

Engineered and deployed IVR, VoIP, and ERP systems, enhancing communication and operational efficiency for multiple startup clients.

Developed advanced video streaming and ad tech solutions, contributing to improved user engagement and revenue generation.