Corporate projects
Commerce, logistics, Web3, and AR/VR systems I shipped as CTO or Lead Developer.
View corporate projectsProjects
Three clear layers: commercial corporate systems, a personal Engineering Lab, and technical cases that solve specific problems.
Engineering Lab
Personal experiments where I stress-test .NET, microservices, and distributed-system patterns.
Open the labTechnical case studies
Not full project summaries — deep dives into specific production problems such as capture vs finalization.
View case studiesCorporate projects
View corporate projects
3 case studies
Corporate project
कायरा एक्सपोर्ट: मार्केटप्लेस और ई-कॉमर्स प्लेटफॉर्म (सीटीओ)
सीटीओ के रूप में, मैंने ई-कॉमर्स और बाज़ार परिवर्तन का प्रबंधन किया; मैंने .NET माइक्रोसर्विस + CQRS आर्किटेक्चर बनाया और इसे AWS पर स्केल किया। मैंने भुगतान/एकीकरण और कृत्रिम बुद्धिमत्ता-समर्थित मॉड्यूल के साथ मल्टी-चैनल वाणिज्य बुनियादी ढांचे का निर्माण किया।
Explore project
7 case studies
Corporate project
एबीसी लॉजिस्टिक्स: रीयल-टाइम जीआईएस ट्रैकिंग प्लेटफॉर्म
लीड डेवलपर के रूप में, मैंने माइक्रो-फ़्रंटएंड आधारित ऑपरेशन मॉनिटरिंग उत्पाद विकसित किया। मैंने जीआईएस और वास्तविक समय वाहन ट्रैकिंग प्रवाह को स्केलेबल बनाकर मॉड्यूलर लॉजिस्टिक्स प्रबंधन को एक ही मंच पर संयोजित किया।
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4 case studies
Corporate project
बेयर क्रिप्टो: एनएफटी मार्केटप्लेस माइनिंग डीएपी
लीड डेवलपर के रूप में, मैंने सॉलिडिटी-आधारित एनएफटी मिंटिंग इंजन, आईपीएफएस एसेट मैनेजमेंट और रिएक्ट + वेब3.जेएस के साथ एक वॉलेट-अवेयर मार्केटप्लेस डीएपी विकसित किया।
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Corporate project
रैपिड रेंडर: रीयल-टाइम 3डी उत्पाद विन्यासकर्ता
शुगर टेक्नोलॉजी में, मैंने यूनिटी + वी-रे आधारित रैपिड रेंडर के लिए हाइब्रिड रियलटाइम/ऑफ़लाइन रेंडरिंग इंजन और जीएलटीएफ/ड्रेको एसेट पाइपलाइन विकसित की; मैंने WebGL प्रदर्शन और फोटोरिअलिस्टिक आउटपुट गुणवत्ता को अनुकूलित किया।
Explore projectTechnical case studies
View case studies From Kayra Export Performance treated as separate from product UX
Web Performance Engineering in the Age of AI
A 13-part engineering series on treating loading, responsiveness, and stability as product features—and protecting user-perceived performance under marketplace scale and AI workloads.
Start the 13-part performance series From Kayra Export Capture is easy; finalization is hard
Distributed Payment Engine
How I closed the gap between capture and complete in a checkout payment engine with outbox, inbox, reconciliation, and effectively-once defenses.
Read the 22-part technical case study From Kayra Export When a shared CRUD model breaks under growth
CQRS (Command Query Responsibility Segregation) — Anatomy of Decisions
Command/query separation, outbox, and production recovery when orders, stock, and reporting can no longer share one model.
Start the CQRS series From ABC Logistics One panel does not scale; independent deploys do
Logistics Micro Frontend Platform (Module Federation)
How I split a logistics ops surface with Module Federation into a shell, auth remote, and feature remotes to shrink blast radius.
Read the 10-part MFE (Module Federation) case study From ABC Logistics Is the vehicle waiting — or is the record?
Fleet Wait Geofence
How I built waiting truth on the map from a telematics feed and configurable circle geofences (km_metric).
Read the 8-part geofence case study From ABC Logistics Partner capacity is not CRUD (Create, Read, Update, Delete)
Partner Ferry Booking Desk
How I built a ferry booking desk with ticket lifecycles, discount workflows, and a booking remote that embeds in a shell and runs standalone.
Read the 8-part booking case study From ABC Logistics Map, CMS (Content Management System), and notifications share one ops truth
Logistics Ops Control Plane
How I kept map-first expeditions, CMS-like content, push admin, and an ERP edge on a deliberate control plane beside the MFE (Module Federation) estate.
Read the 8-part control plane case study From ABC Logistics ERP (Enterprise Resource Planning) MySQL is not an analytics store
Logistics Polyglot Data Platform
How I cleansed internal-ERP MySQL into PostGIS, used MongoDB for telemetry and Elasticsearch for ops search across multi-node clusters, and served clean reads to frontends.
Read the 10-part data platform case study From ABC Logistics Recommended route ≠ driver preference
Fleet Route Intelligence ML (Machine Learning)
How I used EDA (Exploratory Data Analysis), scikit-learn/PyTorch, OSRM (Open Source Routing Machine), and foundation-model APIs to measure wait hotspots, km extension, fuel waste, and delay — then served them to the map UI.
Read the 10-part route intelligence case study From ABC Logistics A notebook is not an API; pipelines need security
Logistics Django API (Application Programming Interface) & Delivery
How I bound a Django analysis API to MFE (Module Federation)/control-plane contracts, shipped via self-hosted GitLab CE → EC2, and embedded continuous ProjectDiscovery-style scanning in delivery.
Read the 8-part API & delivery case studyClarify your project and technical priorities.
In an initial conversation, I review the context, technical risks, and the most meaningful next step for you.
Independent technical guidance aligned with business goals.