Atharv Garg

About Atharv Garg

I build AI systems that create real business impact.My work spans multi-agent architectures, multimodal pipelines, OCR/document intelligence, and enterprise-grade AI workflows that power scale, automation, and insights.With 1,200+ hours of prompt engineering, 10+ production-grade multi-agent pipelines, and multiple deployed AI products, I specialize in turning complex processes into automated, intelligent systems.Core Expertise• Multi-Agent AI Systems – Designing production-ready agentic workflows for decision-making, analysis, and automation.• Multimodal AI Pipelines – Integrating text, speech, OCR, and domain knowledge for end-to-end solutions.• AI Model Fine-Tuning – LLMs, ASR, and domain-specific models for accuracy and efficiency.• Prompt Engineering (Advanced) – Dynamic, context-heavy prompting frameworks for reliable output.• RAG Systems – High-quality retrieval-augmented generation for knowledge-heavy applications.• OCR & Document Intelligence – Building AI pipelines for extraction, grading, and structured insights.• Automation & Analytics – AI-driven reporting, insights, and workflow redesign for enterprises.Products & AchievementsChanakya AI• Built foundational Indic language models and multimodal chat systems.• Developed AI-powered assessment, OCR, subjective checking, and analytics systems used in schools.• Built student practice, learning-path and micro-course generation engines.Inference Engine• Built a custom LLM inference engine used for scalable, low-latency deployments.Enterprise Automation & RAG Workflows• Designed RAG and agentic systems for education, content, and enterprise operations.• Automated processes across customer support, document processing, and analytics.Retail AI• Building an end-to-end retail audio intelligence platform that captures in-store conversations → runs ASR, emotion/sentiment analysis → and generates actionable insights for staff performance, SOP adherence, and customer experience.• Designed backend pipelines, multi-agent evaluation layers, and CXO dashboards for data-driven retail improvement.• Bringing deep AI execution to transform offline retail operations and customer intelligence.

Experience

1. Chief Operating Officer

   Chanakya Ai

   May 2023 — Present · Mumbai, IN

   Key Responsibilities:Chanakya AI App: Developed advanced prompting, RAG optimizations, and specialized agentic pipelines for the Chanakya AI app. Created synthetic datasets to enhance multilingual support. Impact: Boosted user engagement and accessibility.Neev Cloud Platform: Led model deployments and LLM operations for Neev Cloud, ensuring scalable AI/ML solutions. Impact: Enhanced operational efficiency and scalability for clients.Voice Bot Development: Engineered agentic voice bots for services like feedback, order taking, and customer helplines, integrating advanced TTS and ASR technologies. Created synthetic datasets for improved performance. Impact: Automated business processes, enhancing efficiency and customer service.Technical Expertise- AI Model Fine-Tuning- Advanced Prompting & RAG Techniques- Agentic Pipelines- LLM Operations & Model Deployments- Synthetic Data Generation- Multilingual TTS & ASR ModelsAchievements- Enhanced client operations through optimized AI models - Launched Chanakya AI app with advanced user interactions - Delivered NeevCloud platform for seamless AI integration

Education

• University of Kent

  Bachelor's degree, Business Information Technology

• University of Birmingham

  Master's degree, Artificial Intelligence and Machine Learning