Pushkal Khatri

About Pushkal Khatri

I love turning complex product ideas into seamless, scalable user experiences—especially when they live at the intersection of good design and strong engineering. Whether it’s building interactive UIs or structuring efficient backend APIs, I enjoy solving problems that have a real impact on users.I\'ve worked across the stack with Angular, React, Next.js, and Node.js, contributing to enterprise-level products and fast-paced startups. From developing AI-driven metadata features and scalable UI components at Kyvos Insights to shipping real-time sports fan engagement apps at PagalFan, I’ve led projects that involved everything from multilingual support to optimized API design and real-time updates.A few wins I’m proud of: improved API response time by 25% at ProPeers, achieved 90% disease prediction accuracy with a PyTorch-based agri-tech app, and delivered performance gains in a live fan app with 50K+ user interactions.Currently, I\'m seeking to work on impactful, full-stack or product-driven teams where I can build intuitive tools, shape technical decisions, and scale products that users love.

Experience

1. Associate Software Engineer

   Intellicus Technologies

   Nov 2024 — Present · Indore, IN

   Virtual Model & Cross-Model AI Querying: Built the core of the Virtual Model framework enabling blending across multiple Semantic Models and integrated it with Kyvos Dialogs (Conversational AI) to support natural language cross-model queries.AI Metadata & Business Context Generation: Designed the end-to-end AI Metadata module using LLM orchestration (LangChain + OpenAI APIs). Built dynamic dialogs in Angular, created undo/redo stacks, and implemented JSON↔XML transformations for automated metadata enrichment.Writeback (What-If Analysis): Developed complete Writeback functionality in Crosstab visualizations allowing users to edit measure values, recalculate results in real time, and manage commit/discard workflows across web and processing servers.Perspective Model: Architected and implemented Perspective Models—lightweight subsets of Semantic Models—using drag-and-drop UI, Map-based optimizations, RBAC controls, and AI query support.Tabular Semantic Model Generation: Built a module to auto-generate multiple Semantic Models in one operation, improving model creation speed and reducing manual setup effort.Compute Segment Processing: Implemented backend job-scheduling logic for dynamic workload processing based on segment capacities (LOW/HIGH/FULL), enhancing system performance and automation.AI Settings & Metadata Export/Import: Delivered import/export workflows via CAB files for AI Settings & AI Metadata, enabling seamless environment migration.Semantic Model Designer Enhancements: Improved modeling productivity by adding duplicate, copy, and move features; refactored core logic for performance and maintainability.Bulk Metadata Operations: Built REST APIs for bulk SQL metadata renaming and integrated validation workflows to streamline data engineering processes.

Education

• Indore Public School

  CBSE - 12th Board, PCM

• ACROPOLIS INSTITUTE OF TECHNOLOGY AND RESEARCH

  Bachelor of Technology - BTech, Information Technology