Krrish Rastogi

Product Engineer

Lucknow, Uttar Pradesh, India1 mo experience

AI Enabled

Key Highlights

Winner of multiple national hackathons
Strong backend development skills with AI integration
Open source contributor to notable projects

Stackforce AI infers this person is a Backend Developer with a strong focus on AI integration and scalable systems.

Contact

Skills

Core Skills

Backend Web DevelopmentPrompt Engineering

Other Skills

ReactJSPostgreSQLRedisLeadershipChrome ExtensionsVS Code ExtensionTailwind CSSC++Object-Oriented Programming (OOP)JavaScriptSQLDatabase Management System (DBMS)Shell ScriptingBack-End Web Development

About

B.Tech AI & ML @ BIT Mesra | Backend & Full-Stack Developer | Applied AI I build backend-heavy, AI-integrated web products with a focus on scalable systems, real-world impact, and clean execution. 🏆 SIH 2025 Winner 🏆 Amazon HackOn’25 National Top 75 🏆 NatWest Code for Purpose National Top 10 🏆 UIDAI Data Hackathon National Finalist 🏆 LeetCode Knight — 1900+ 🏆 Open Source Contributor — CNCF Volcano, UN-OICT Open to SDE, Backend, Full-Stack, AI Product, and Open Source opportunities. GitHub: github.com/krrishrastogi05 Email: krrishrastogi00@gmail.com

Experience

1 mo

Total Experience

1 mo

Average Tenure

1 mo

Current Experience

Cloud native computing foundation (cncf)

Open Source Contributor

May 2026 – Present · 1 mo

Contributing to AI infrastructure projects across the CNCF ecosystem, including Kubernetes Volcano and Kthena AgentCube.

Backend web developmentReactJS

United nations office of information and communications technology

Open Source Developer

Mar 2026 – May 2026 · 2 mos

Contributed to two of the projects under the organization during the GSoC period.
My proposal in Fireform got shortlisted for an interview among 200+ proposals received by the organisation

Prompt Engineering

Smart india hackathon

Backend and Team Lead, MoSJE ( Winner 2025 )

Sep 2025 – Dec 2025 · 3 mos

Designed a scalable backend architecture assuming India-scale usage with millions of concurrent users.
Modeled highly relational data (beneficiaries, schemes, applications, geographic hierarchies) using PostgreSQL with access-pattern-driven indexing.
Optimized read-heavy workflows (eligibility checks, dashboards, scheme discovery) to maintain stable latency under high concurrency.
Implemented non-blocking scheme applications using Redis-backed queues to decouple request handling from processing.
Built horizontally scalable worker services for application persistence, notifications, and dashboard updates.
Ensured idempotent background jobs and adopted eventual consistency for higher throughput and fault tolerance.

Outlier

AI Trainer

Aug 2024 – Oct 2024 · 2 mos · Remote

- Primary work was around reviewing and suggesting corrections in model outputs based on a definitive set of rules

P2p connect

Intern

Jun 2024 – Jul 2024 · 1 mo · Gurugram, Haryana, India · Remote

Worked on improving the functionality of matchmaking models implemented on the websites
Created video guides explaining the technical features of the website for channel partners and firms