May 2025 – Present · 1 yr 1 mo · West Lafayette, IN · Hybrid

• Architected and delivered a role-based React platform enabling AI-based vendor analysis for 100+ industry partners for the U.S. Air Force
• Built interactive analytics dashboard with data visualizations using HTML, CSS, and JavaScript libraries like D3.js, empowering U.S. Air Force to analyze and compare different vendors across multiple capability matrices, resulting in 60% faster vendor evaluation cycles
• Developed a Python FastAPI microservice to build a RAG pipeline for automated entity extraction and analytics from internal documents
• Architected an agentic AI platform for environmental analysis by building custom Model Context Protocol (MCP) to expose LLM-callable tools, enabling a Google Gemini 2.0 Flash agent to autonomously orchestrate complex multi-step environmental modeling workflows
• Orchestrated deployment on Purdue’s Geddes HPC cluster using Rancher, Docker and Kubernetes for applications spanning React, Node.js, and Python, leveraging GPU nodes to accelerate vector search and LLM inference reducing query execution time by 80%

Jan 2025 – May 2025 · 4 mos · West Lafayette, Indiana, United States · Remote

• Collaborated with Johnson & Johnson on an applied research project to develop a natural language-driven data visualization system, empowering business users to query and visualize data without writing SQL or code.
• Contributed as part of the Visualization & UI team, responsible for determining the most effective chart type based on the structure and semantics of the data returned from natural language queries.
• Built a Python-based chart recommendation engine that analyzes DataFrame structures—identifying numerical, categorical, and temporal patterns—to dynamically rank and suggest the most appropriate chart type (e.g., bar, line, scatter, heatmap) based on custom scoring logic.
• Integrated the recommendation engine with Tableau via TabPy, enabling dynamic updates to a parameter that controls which chart is displayed. This allows for a seamless, interactive data exploration experience within Tableau dashboards.
• Enabled end-users to toggle between multiple visualizations using Tableau Calculated Fields, enhancing usability and providing flexibility in how data insights are consumed.
• Designed the solution to be scalable and reusable, with a modular codebase, detailed documentation, and a roadmap for future development—including support for additional chart types, metrics, and language models.
• Conducted testing across various query examples and data scenarios, ensuring the system provided accurate results, visually appropriate charts, and remained responsive under different loads.
• Learned to bridge the gap between machine learning, data visualization, and real-world business impact, while collaborating across cross-functional teams including NLP, data engineering, and UI development.

Feb 2022 – May 2022 · 3 mos · Bengaluru, Karnataka, India · Remote

• Led a team of six developers to design and develop a professional website
• Defined project goals by analyzing requirements and delegated tasks to developers based on their expertise
• Achieved a 5-fold increase in partner website traffic, significantly enhancing online presence and engagement

Jan 2022 – Jul 2024 · 2 yrs 6 mos

• Led cross-functional collaboration with product management, engineering, design, and sales, to define, communicate, and execute the product vision and strategy such as revamping the data export feature, managing product backlogs, timelines, and deliverables for integrating additional storage options (S3, Azure, Google Cloud, and Box)
• Achieved a 700 % increase in exports and improved usability, demonstrating effective leadership in driving product enhancements
• Monitored post-launch performance by conducting user research to identify and prioritize customer needs as per business goals and make recommendations on user experience
• Drove migration of Location Analytics App from Angular to React, ensuring design consistency and managing cross-team dependencies, resulting in a streamlined codebase and faster development cycles
• Collaborated with cross-functional teams focusing on UI improvements using Material UI, which resulted in a more user-friendly dashboard and consistent design for future projects, following Agile methodology.
• Owned the product lifecycle for Location Analytics App's React migration, maintaining consistent component design through functional specifications, collaborating with cross-functional teams to define acceptance criteria, and validating requirements with Figma wireframes
• Analyzed customer usage patterns and tracked KPIs such as percentage increase in exports created for post-launch performance monitoring to identify feature requirements, validate product-market fit, and create feedback loops.
• Harnessed GenAI tools such as Claude, Copilot, and Replit to build prototypes and iteratively improve POCs to ensure it meets user requirements as per product roadmap
• Created comprehensive documentation and training materials in Confluence and SharePoint to support the onboarding of customers
• Facilitated Agile sprints across 4 teams, triaging technical blockers, managing dependencies, and maintaining project roadmaps in Jira

Aug 2021 – Jul 2024 · 2 yrs 11 mos

• Emerging Talent at Cisco is a community committed to the professional and personal development of 2k+ early career professionals. I am grateful to be a part of the core team that organizes various events and sessions for this community across India.

Aug 2020 – Jan 2022 · 1 yr 5 mos

• Collaborated with the Multicast team to build an understanding of critical features
• Developed python scripts for unit testing of these features
• Resolved software defects with a low mean time for resolution
• Made an open-source contribution to Wireshark to enhance a dissector

Jan 2020 – Jul 2020 · 6 mos

• Created a WebApp to generate geofences
• Developed REST APIs to implement various functionalities
• Improved Geofence creation experience by combining responses from external APIs
• Pioneered the effort of securing the application using JWT
• Engineered test plan to perform Unit testing with JUnit and Mockito