Manoj Hans

Platform & Architecture: Own technical strategy for the field operations platform (mobile data collection, backend APIs, ops dashboard) that powers climate-smart rice programs and digital measurement, reporting, and verification for carbon credit issuance at scale Engineering Leadership: Lead architecture and cross-functional engineering planning with product and field operations; mentor the backend/mobile team and drive engineering maturity as the company scales from pilot to multi-state operations

I served as a Staff Software Engineer at Launch.Today (formerly P0 Inc), leading backend architecture and distributed systems engineering. I built a distributed security engine using Kafka and Redis that processed over 100 million daily transactions, identifying vulnerable zombie APIs to drive $100K in ARR. I also architected a PostgreSQL and Python backend for an AI app generation platform, reducing inference costs by 50 percent. I focus on building highly scalable and secure infrastructure.

As Lead Software Engineer (Staff Level) at Udaan, I drove the architecture of an event-driven microservice system that unified 5+ catalog databases and cut data inconsistencies by 85%. I architected a multi-layer caching framework that reduced API latency from 800ms to 120ms under 10K+ concurrent requests, supporting 100M+ daily transactions via Kubernetes on Azure. I also re-architected Azure Cosmos DB schemas to slash operational costs by 50% and mentored a team of 6+ engineers.

At ZipLoan, I scaled from Senior Software Engineer to Senior Engineering Manager, managing a ₹100Cr+ lending portfolio and a team of 8+ engineers. I architected a loan processing platform supporting 15K+ active loans with 99.9% uptime, dropping processing times from 7 days to 2 days. I built an ML credit scoring engine achieving 92% accuracy, reducing approval times from 5 days to 4 hours. I also pioneered an NLP-based bank statement analysis system that slashed underwriting analysis times by 90%.

At Practo, I built the 'Practo Consult' backend from scratch, scaling the platform from 0 to 100K users and developing REST APIs that served a user base of over 50 million. I designed and deployed a specialized machine learning classification engine to automatically route patient queries to doctor specialties, significantly improving consultation matching accuracy and response times.

As a Python Developer at Firefly e-Ventures (Hindustan Times), I led the HTCampus Digital initiative by building a micro marketing automation platform from the ground up. The system enhanced user engagement and delivered targeted campaigns that successfully reached over 1 million students.