Ayush Gangwar

AI Researcher

Bareilly, Uttar Pradesh, India1 yr 11 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Expert in AI-integrated backend systems.
Proven track record in full-stack development.
Strong focus on reliability and performance optimization.

Stackforce AI infers this person is a Full-Stack Engineer specializing in AI and Fintech solutions.

Contact

Skills

Core Skills

Ai OrchestrationAutomationFull-stack DevelopmentRest ApisMicroservices ArchitectureBackend Development

Other Skills

Python (Programming Language)React.jsRedisReactTypeScriptNestJSPostgreSQLExpress.jsMongoDBNode.jsRabbitMQLangChainDifyn8nAI Agents

About

I've worked across the full stack — frontend, backend, and AI-powered systems — and that breadth is what shaped how I think. Working across multiple layers of a system changes how you see failures: less as isolated bugs, and more as behavior emerging from interactions, dependencies, and trade-offs. I've seen how decisions made in one layer affect reliability, performance, and user experience elsewhere in the system — especially once real-world constraints like scale, latency, and operational complexity enter the picture. I tend to think in flows more than isolated features. When systems break, I want to trace them through logs, dependencies, and failure paths instead of just patching symptoms. And when designing systems, I'd rather make the right structural decisions early — how components interact, where failure is contained, and what scale actually requires — than optimize for cleverness that's hard to reason about later. Right now I'm focused on AI-integrated backend systems, particularly around multi-agent AI workflows, and the reliability challenges that come with running AI-powered systems under real production constraints. The interesting problems there aren't just about making models work — they're about making them observable, reliable, and maintainable when things inevitably fail. Looking to work on systems problems where reliability and scale are real constraints — not afterthoughts.

Experience

1 yr 11 mos

Total Experience

11 mos

Average Tenure

1 yr 5 mos

Current Experience

Evalueserve

AI/ML Engineer

Jan 2025 – Present · 1 yr 5 mos · Gurugram, Haryana, India · Hybrid

Designed and deployed Agentic AI workflows that automated complex business and research processes, reducing manual effort and accelerating data-driven decision-making.
Led the end-to-end GenAI lifecycle, including data preprocessing, RAG pipelines, inference optimization, context engineering, and output evaluation to enhance model performance and reliability.
Partnered with cross-functional teams to convert business and client requirements into scalable, production-ready AI solutions.
Built and maintained robust AI workflows and experimentation pipelines, enabling rapid iteration and continuous performance improvement.

Python (Programming Language)AutomationAI Orchestration

The arena

Software Engineer (Consultant)

Jul 2024 – Jan 2025 · 6 mos · Bengaluru · Hybrid

Full-stack consulting role on a production SocialFi platform integrating real-time social engagement with blockchain-backed financial interactions — including creator monetization, token trading, community systems, and on-chain asset management within the Avalanche ecosystem.
Engineered full-stack features across the platform's social and financial layers using React, TypeScript, NestJS, and PostgreSQL — spanning post feeds, community systems, chat messaging, live streaming, creator monetization flows, ticket transactions, and creator token interactions in a live production environment.
Designed and exposed backend REST APIs in NestJS with structured controller/service layers, DTO-based request validation, and TypeORM-backed PostgreSQL query logic — optimizing data-intensive workflows through selective response shaping, lazy-loading pagination, and Redis-backed caching for read-heavy social layer data. Implemented atomic counter update strategies for engagement metrics to maintain consistency under concurrent write access.
Built and integrated frontend features across social engagement and content discovery workflows — managing asynchronous application state with custom React Query hooks, implementing optimistic UI updates for engagement actions, and maintaining client-server state consistency through efficient cache invalidation and data synchronization patterns.
Diagnosed and resolved production issues across frontend and backend systems in a fast-paced startup environment — including data inconsistencies between PostgreSQL and API responses, frontend rendering regressions, and client-server state synchronization failures.
Tech Stack: React · TypeScript · NestJS · Node.js · PostgreSQL · TypeORM · Redis · React Query · Axios · REST APIs · Swagger · Avalanche Blockchain · Git · GitHub · Jira

React.jsRedisFull-stack DevelopmentREST APIs

Publicis sapient

Software Engineer

Jun 2023 – Jul 2023 · 1 mo · Remote

Contributed to a distributed hospital management platform decomposed into independently deployable microservices, with primary responsibility for the Patient History service.
Engineered the Patient History microservice with full backend ownership — including REST API design, database schema modeling with Mongoose, and authenticated data retrieval against a dedicated MongoDB collection.
Implemented event-driven inter-service asynchronous communication via RabbitMQ, consuming patient and doctor registration events from upstream services with acknowledgment-based message handling to ensure delivery reliability across service boundaries.
Built JWT-based authentication middleware for Express.js endpoints, enabling stateless and access-controlled communication across authenticated backend workflows.
Rendered patient history views server-side using Pug templates, reducing exposed API surface and eliminating client-side DOM dependency for authenticated rendering workflows.
Tech Stack: Node.js · Express.js · MongoDB · Mongoose · RabbitMQ (amqplib) · JWT · Pug · REST APIs · Microservices Architecture

Express.jsMongoDBMicroservices ArchitectureBackend Development