Yash Kumar Sain

Software Engineer

Bengaluru, Karnataka, India3 yrs 4 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Engineered scalable AI architecture reducing costs by 75%
Architected event-driven backend for real-time flight optimization
Developed offline-first mobile applications with secure chat features

Stackforce AI infers this person is a Backend and AI Integration specialist in the EdTech and Aviation sectors.

Contact

yashkumarsain66@gmail.com LinkedIn

Skills

Core Skills

Ai IntegrationBackend DevelopmentMobile DevelopmentCloud ArchitectureDatabase Optimization

Other Skills

AI/LLM IntegrationRAG & Vector EmbeddingsContext CachingTypeScriptNext.jsgRPCFlutterRiverpodBack-End Web DevelopmentNode.jsAWSEventBridgeSQSPythonPostgreSQL

About

Software Engineer with a dual focus on Scalable Backend Architecture and Generative AI Integration. Key Technical Achievements: Backend: Designed serverless architectures handling 1M+ daily events with fault-tolerant ingestion using AWS SQS/SNS and EventBridge. AI Integration: Successfully deployed multi-tenant SaaS platforms featuring context-aware AI agents, reducing operational API costs by 75% Mobile & Web: Architected fully async, offline-first mobile applications using Flutter and gRPC, ensuring seamless data synchronization and bidirectional encrypted chat. I am passionate about writing clean, SOLID-compliant code and solving complex engineering challenges in the EdTech and Logistics domains

Experience

3 yrs 4 mos

Total Experience

1 yr 1 mo

Average Tenure

Current Experience

Stealth startup

2 roles

Software Engineer, Stealth

Feb 2025 – Feb 2026 · 1 yr

1. AI-Powered EdTech SaaS Platform:
Cost-Optimized GenAI Pipeline: Engineered a scalable AI architecture using Gemini Batch API and Context Caching (1M+ tokens/day), reducing inference costs by 75% while ensuring 24h context retention.
Production-Grade RAG: Built a robust Retrieval-Augmented Generation system with Supabase pgvector and hybrid search, utilizing Gemini Function Calling to enforce strict TypeScript schemas and eliminate JSON parsing failures.
Complex Rendering Engine: Solved critical rendering bottlenecks for bilingual (Devanagari) and KaTeX math layouts by architecting a serverless Puppeteer pipeline for high-fidelity PDF generation.
Multi-Tenant Architecture: Delivered a secure Next.js 14 SaaS platform with Row Level Security (RLS) across 13 tables, integrating granular token-usage analytics to track per-operation costs and profitability.
2. Real-Time Social Networking Application:
Zero-to-One Architecture: Architected a production-grade, offline-first Flutter application using gRPC, Protobuf, and Riverpod, ensuring strictly typed, event-driven communication and SOLID compliance.
Complex Real-Time Systems: Engineered a bidirectional encrypted chat system via gRPC streams and a high-performance TikTok-style discovery feed featuring optimistic UI updates, lazy media loading, and background compression.
Resiliency & Monetization: Maintained >90% crash-free sessions via Firebase monitoring while implementing secure Razorpay payment flows, GDPR/CCPA compliance, and fault-tolerant network handling (Dio retry queues).

AI/LLM IntegrationRAG & Vector EmbeddingsContext CachingTypeScriptNext.jsgRPC+3

Software Engineer

Feb 2025 – Feb 2026 · 1 yr

1. AI-Powered EdTech SaaS Platform:
Cost-Optimized GenAI Pipeline: Engineered a scalable AI architecture using Gemini Batch API and Context Caching (1M+ tokens/day), reducing inference costs by 75% while ensuring 24h context retention.
Production-Grade RAG: Built a robust Retrieval-Augmented Generation system with Supabase pgvector and hybrid search, utilizing Gemini Function Calling to enforce strict TypeScript schemas and eliminate JSON parsing failures.
Complex Rendering Engine: Solved critical rendering bottlenecks for bilingual (Devanagari) and KaTeX math layouts by architecting a serverless Puppeteer pipeline for high-fidelity PDF generation.
Multi-Tenant Architecture: Delivered a secure Next.js 14 SaaS platform with Row Level Security (RLS) across 13 tables, integrating granular token-usage analytics to track per-operation costs and profitability.
2. Real-Time Social Networking Application:
Zero-to-One Architecture: Architected a production-grade, offline-first Flutter application using gRPC, Protobuf, and Riverpod, ensuring strictly typed, event-driven communication and SOLID compliance.
Complex Real-Time Systems: Engineered a bidirectional encrypted chat system via gRPC streams and a high-performance TikTok-style discovery feed featuring optimistic UI updates, lazy media loading, and background compression.
Resiliency & Monetization: Maintained >90% crash-free sessions via Firebase monitoring while implementing secure Razorpay payment flows, GDPR/CCPA compliance, and fault-tolerant network handling (Dio retry queues).

Back-End Web DevelopmentNode.jsTypeScriptAWSEventBridgeSQS+2

Optym

Software Engineer

Jul 2023 – Feb 2025 · 1 yr 7 mos · Bengaluru, Karnataka, India · Hybrid

Project 1: GateAI | Southwest Airlines (Node.js, AWS, TypeScript)
High-Scale Architecture: Architected an event-driven backend using Node.js, TypeScript, and AWS (Lambda, EventBridge, SQS) to process ~1M daily flight events for real-time gate optimization.
Operational Impact: Recognized with a ₹6L performance bonus for delivering architectural improvements that saved millions in operational costs by minimizing aircraft taxi times and crew transfers.
System Modernization: Refactored legacy modules to adopt CQRS and SOLID principles, significantly improving system fault tolerance and maintainability.
Algorithmic Optimization: Engineered complex constraint-satisfaction algorithms to automate gate assignments, balancing passenger connection buffers with airport asset utilization.
Project 2: WheelsUp Flights Scheduling (Python, PostgreSQL)
Database Performance: Analyzed and optimized PostgreSQL & PySQL query layers, eliminating redundant endpoint calls and drastically reducing API response latency.
System Reliability: Resolved critical production bugs across the Python backend and data layer, ensuring consistent data accuracy for flight scheduling operations.
Technical Documentation: Designed comprehensive Entity Relationship Diagrams (ERD) to standardize database structure and accelerate knowledge transfer for new developers.