Adhikram Maitra

Agentic AI makes data driven decisions leads to revenue increase in $100K+ dollars

• Architeched the Ai layers of the product from scratch to enable the agentic ai to make data driven decisions Leading to ai native approach in the product.
• Introduced RAG layer over more then 20K+ Financial Document to Stream line the agentic hand that empowered the brokers to make data driven decisions.

Increased engagement rates by 10x moving the Deal approach numbers once a month to double digits.

• Invented the reachout funnel that lead the engagement rates to 10x deals a month from quality leads through niched AI powered outreach with filterd Deals.
• Redesined the context engineering approach to the data enrichment pipeline to make it more qualitative to use down funneling the leads to reachout.

Gamification attacts intelligent brokers leading to more revenue

• Added Broker Velocity Engine to gamify Brokers experienece where they do more in less time and get more deals with AI assistance and less repetative tasks.

• Conceptualized our first configurable data quality tools which fortified data integrity and optimized parallel data reading, leading to a 60% reduction in data (>100GB) processing time, .
• EQ Tracer: A tool to monitor summative metric trends across configurable hierarchies with dynamic alerting mechanisms to filter out noise data, ensuring accurate insights.
• Ratio Tracer: A tool for outlier detection using customizable percentile thresholds, enabling the proactive identification and mitigation of anomalies.
• PM Tracer: A logging and monitoring tool that aggregates data from multiple sources, providing detailed coverage and mismatch analysis for enhanced data quality and system reliability.

• Shifted Spark Streaming to Structured Streaming, leading to a 50% reduction in latency and improved error handling, which also added exactly-once assurance that terminated the data audit pipeline.
• Implemented A/B testing to gain insights into traffic patterns and loss thresholds for individual entities. This initiative led to a remarkable 15% reduction in overall losses, significantly contributing to the company’s research and development efforts and generating tangible improvements in profitability.

• Pioneered automation for group moderation on Discord through website, unlocking the peer-learning aspect of the product. Resulted in reduced management costs with increased community engagement.