# Niket Panjwani > SDE @ Spot & Tango | Ex-Mckinsey Location: New York, New York, United States Profile: https://flows.cv/niket I build products that move fast, scale reliably, and actually create impact. I am a full stack engineer who loves working on real world problems across consumer tech, AI, logistics, and e commerce. Today I work at Spot and Tango, where I help power experiences for tens of thousands of active users by designing scalable backend systems, improving front end performance, and building strong engineering foundations through CI CD, testing, and architecture excellence. Before this, I worked at McKinsey where I led multiple global GenAI initiatives, built production grade AI tools for developers, and helped engineering teams across continents adopt AI to improve speed and build higher quality software. I enjoy owning products end to end. Thinking deeply about architecture. Designing for scale. Shipping fast. Refining constantly. I have built products like a real time logistics platform and a developer AI assistant used by developers worldwide. I care about thoughtful engineering, great UX, measurable performance improvements, and building systems that last. At my core, I am entrepreneurial, curious, and obsessed with building. Whether it is improving performance metrics, designing event driven backends, or helping teams adopt new technology, I bring energy, ownership, and clarity. ## Work Experience ### Full Stack Engineer @ Spot & Tango Jan 2024 – Present | New York, United States - Led end-to-end migration of a monolithic backend from Heroku to AWS, re-architecting into a scalable, service-oriented system that improved reliability, observability, and long-term extensibility. - Designed and deployed web servers on AWS (ECS, RDS), enabling independent scaling, reducing system coupling, and significantly improving performance and throughput under growing user load. - Built and maintained a full-stack e-commerce platform supporting 50,000+ active users across customer, support, and marketing systems. - Designed scalable backend services for dynamic pricing, analytics, and experimentation, enabling long-term A/B testing and feature evolution. - Shipped one-time purchases within a subscription-based model using cohort logic, Django APIs, PostgreSQL schema updates, and frontend analytics integration. - Improved site performance by reducing asset load times ~70% and cutting Time to Interactive by 25% through frontend and asset optimizations. - Accelerated engineering velocity by building CI/CD pipelines with GitHub Actions and strengthening test coverage for production-critical code paths. ### Software Engineer @ McKinsey & Company Jan 2022 – Jan 2024 | Chicago, Illinois, United States - Built and deployed internal GenAI tools using fine-tuned LLMs with real-time retrieval on proprietary case data, reducing turnaround time for consulting teams. - Architected and shipped a GenAI-powered coding assistant as a VS Code extension with a Node.js inference server, supporting 500+ developers in production. - Led GenAI enablement for client engineering teams by integrating AI tools into their SDLC, improving coding velocity and quality by ~12%. - Delivered global GenAI training programs for 500+ McKinsey engineers across 5+ continents, accelerating AI adoption in client-facing engagements. - Built scalable enterprise analytics tools using React and Spring Boot, collaborating with data engineers to optimize schemas, APIs, and performance for high-traffic use cases. ### Undergraduate Teaching Assistant @ Purdue Polytechnic Institute Jan 2020 – Jan 2022 | West Lafayette, Indiana, United States - Led lab sections of 20 students for a 200-level Cybersecurity Fundamentals course, teaching core concepts including access controls, cryptography, phishing, SQL injection, and risk analysis. - Served as a technical consultant for group projects in a 200-level Systems Analysis and Design course, providing guidance on system modeling, requirements analysis, and technical feasibility. - Conducted lab sessions for a 100-level C Programming course, explaining fundamental C concepts, debugging code, and resolving student questions to reinforce programming foundations. ### Undergraduate Research Assistant @ Purdue University Jan 2021 – Jan 2021 - Analyzed the relationship between perceived conflict resolution abilities and actual team performance among sophomore-level Computer and Information Technology (CIT) students. - Conducted quantitative analysis using survey responses, student grade data, and peer evaluation scores to identify patterns and correlations. ## Education ### Bachelor's degree in Computer and Information Sciences, General Purdue University Jan 2018 – Jan 2022 ## Contact & Social - LinkedIn: https://linkedin.com/in/niket-panjwani - Website: https://niketpanjwani.com --- Source: https://flows.cv/niket JSON Resume: https://flows.cv/niket/resume.json Last updated: 2026-04-01