I'm a consultant and content creator based in Bengaluru, India, specializing in transforming businesses with AI.
My journey: College web dev → Data Analyst → Data Engineer → AI Consultant specializing in RAG systems, LLMs & Data PlatformsCurrently helping Software, Retail, Real Estate, Healthcare companies transform with AI
"He delivered our RAG system ahead of schedule with excellent documentation and support."
Built websites for college events and family digital presence. Established programming foundation with HTML, CSS, JavaScript
Started as data analyst, learned SAS for reports, transitioned to Python for interactive dashboards and visualizations
Mastered data engineering: Hadoop/Hive → Spark/PySpark → AWS/Azure cloud platforms. Built scalable data pipelines
Specializing in Generative AI, RAGs, LLMs, and Agentic AI systems. Leading AI transformation initiatives
From college web development to AI expertise - real projects showcasing my journey through data analysis, the critical data engineering realization, and current focus on Generative AI, RAGs, and LLMs.
Showing 3 of 3 case studies
Leading Digital Bank (Series C) • 8 months
Transformed legacy banking data infrastructure to modern cloud-native architecture, enabling real-time fraud detection and personalized banking.
+3 more technologies
Global E-commerce Giant ($2B Revenue) • 12 months
Built enterprise-scale AI recommendation engine processing 500M+ customer interactions daily, delivering hyper-personalized shopping experiences.
+3 more technologies
Fortune 500 Healthcare Provider • 6 months
Deployed production RAG system for clinical decision support, processing 50,000+ medical documents and providing real-time diagnostic assistance to 2,000+ physicians.
+2 more technologies
From my journey through web dev, data analysis, and data engineering to current AI expertise — let's discuss RAGs, LLMs, Agentic AI, or any data engineering challenges. Based in Bengaluru, working globally.
Niranjan helped us modernize our data pipeline from legacy ETL to cloud-native architecture. His practical approach and deep technical knowledge made the transition smooth and efficient.
Niranjan's work on our recommendation system was outstanding. His ability to bridge data engineering and AI really helped us improve our product suggestions and user engagement.
We discovered Niranjan through his YouTube channel and were impressed by his practical AI knowledge. He delivered our RAG system ahead of schedule with excellent documentation and support.
Tell me about your AI goals - whether it's technical consulting, content collaboration, or personal branding strategy
Web Dev → Data Analysis → Data Engineering → AI: Complete technical journey understanding
Current specialization in RAGs, LLMs, Agentic AI with hands-on POC experience
Realized critical importance of data engineering - brings unique perspective to AI projects
Deep technical insights, real-world case studies, and proven strategies from my journey in Data Engineering and AI.
Real-world insights from my journey building data platforms and AI systems for enterprise clients.
Real case study: Transforming customer support with RAG systems. 89% accuracy improvement, 67% cost reduction. Includes architecture diagrams and ROI calculations.
Deep dive into LangChain and LangGraph for enterprise AI. Performance benchmarks, use cases, and when to choose each framework for production systems.
Proven techniques that reduced client costs from $180K to $72K monthly. Includes warehouse optimization, query tuning, and automated scaling strategies.
Download proven frameworks and tools used in $100M+ AI transformations
Complete 50-page guide for enterprise AI transformation with ROI frameworks and implementation roadmaps.
Excel template to calculate potential returns from AI initiatives with real-world benchmarks.
Comprehensive comparison of modern data engineering tools: Spark vs Databricks vs Snowflake.
Free Download - 15-Point Checklist
Evaluate your organization's AI readiness with this comprehensive assessment. Used by 500+ companies to identify gaps and create implementation roadmaps.
Exclusive case studies, implementation guides, and industry trends from the trenches
I'm always open to discussing AI projects, data engineering challenges, or content collaboration opportunities.
