
Ivan Cheklin
BI Leader
IBM - TWC
"Rishav is an exceptional talent who consistently delivers high-quality solutions. His technical expertise and problem-solving skills make him an invaluable asset to any team."
I specialize in architecting scalable Agentic AI ecosystems and high-performance data pipelines.
Reducing data pipeline costs by 30-60% while cutting processing time in half.
Trusted by Forward-Thinking Companies





















To thrive in today's fast-paced landscape, I treat AI as a core component of my delivery process. Beyond leveraging Copilot, Claude, Gemini, and ChatGPT for accelerated development and debugging, I specialize in orchestrating autonomous agents using LangGraph, Ollama and AutoGen. These frameworks allow me to automate complex analytical workflows and scale intelligence across the enterprise.
Expert services tailored to modernize your data infrastructure and accelerate AI adoption.
Building autonomous, self-correcting AI systems that solve complex enterprise workflows. I move beyond simple chatbots to architect multi-agent ecosystems that can reason, plan, and execute tasks.
Transforming sluggish, legacy ETL processes into high-performance, real-time data streams. I optimize for cost, latency, and reliability, ensuring your data is ready when you need it.
Leading safe, efficient migrations from on-premise to cloud (AWS/Azure). I handle the architecture, security, and cost-modeling to ensure a seamless transition with zero downtime.

BI Leader
IBM - TWC
"Rishav is an exceptional talent who consistently delivers high-quality solutions. His technical expertise and problem-solving skills make him an invaluable asset to any team."

Principal Data Scientist
IBM - TWC
"Working with Rishav was a game-changer for our data visualization projects. His innovative approach and attention to detail resulted in solutions that exceeded our expectations."

Group Lead
Novartis Healthcare Pvt Ltd
"Working with Rishav on our data migration project was exceptional. His technical expertise in Snowflake and pipeline optimization transformed our analytics capabilities. He's a collaborative team player who consistently delivers beyond expectations."

Assistant Director
Novartis Inc
"Rishav's leadership during our data warehouse migration was outstanding. He demonstrated excellent problem-solving skills and technical depth while maintaining clear communication throughout. His work significantly improved our data processing efficiency and analytical capabilities."

BI Leader
IBM - TWC
"Rishav is an exceptional talent who consistently delivers high-quality solutions. His technical expertise and problem-solving skills make him an invaluable asset to any team."

Principal Data Scientist
IBM - TWC
"Working with Rishav was a game-changer for our data visualization projects. His innovative approach and attention to detail resulted in solutions that exceeded our expectations."

Group Lead
Novartis Healthcare Pvt Ltd
"Working with Rishav on our data migration project was exceptional. His technical expertise in Snowflake and pipeline optimization transformed our analytics capabilities. He's a collaborative team player who consistently delivers beyond expectations."
Proven ROI: Transforming complex challenges into measurable business impact.
Legacy processing pipeline was taking 14+ hours, frequently missing internal SLAs and causing revenue attribution delays.
Re-architected the entire flow using AWS Batch for parallel processing and optimized Snowflake merge logic to reduce lock contention.
Reduced runtime to ~5 hours (60% improvement) and cut compute costs by 30% by moving off always-on instances.
Manual data validation across 15+ brands led to silent failures and bad data entering executive dashboards.
Built a serverless validation framework (AWS Lambda) with AI-generated rules that syncs bidirectional with Google Sheets for non-tech users.
Eliminated manual QA time by 100% and caught 50+ critical data issues in the first month before they reached production.
Customer support agents were spending 40% of time searching for policy info across scattered PDFs and Notion docs.
Deployed a RAG-based multi-agent system (LangGraph) that retrieves context and drafts responses, with a human-in-the-loop review step.
Reduced average handling time (AHT) by 45% and improved first-contact resolution by 25%.
A timeline of technical leadership and engineering excellence.
Enterprise-grade solutions delivered on your schedule.
A balanced mix of Data Engineering solidity and Agentic AI innovation.
Focused on environmental engineering principles and sustainable technologies. Participated in multiple research projects related to waste management and environmental impact assessment. Developed strong analytical and problem-solving skills through practical lab work and field studies. Active member of the Engineering Society and Environmental Club.
Completed senior secondary education with specialization in science subjects. Achieved academic excellence with particular strength in mathematics and physics. Participated in various inter-school competitions and science exhibitions. Developed strong foundations in analytical thinking and scientific concepts that later supported engineering studies.
Completed foundational education with a strong academic record across all subjects. Actively participated in various extracurricular activities including sports, cultural events, and science exhibitions. Received recognition for academic performance and leadership skills in group projects and classroom activities.
Thoughts on Agentic AI, Data Architecture, and the future of work.
Moving beyond traditional ETL pipelines to autonomous data systems that self-heal and optimize.
Why simple Retrieval Augmented Generation isn't enough for enterprise workflows, and how agents bridge the gap.
Strategies for managing compute credits in high-volume ephemeral workloads.
Whether you need a fractional AI Lead or an expert to untangle your data pipeline, let's start a conversation.