Open to Backend & GenAI engineering roles

Shubham Kumar
Gupta

$ ▋

I build scalable backends and distributed systems that stay fast under load — and ship GenAI to production with LLMs, RAG, LangGraph agents & vector search.

shubham@portfolio:~
$ cat engineer.json
{
  "name": "Shubham Kumar Gupta",
  "role": "SDE-2 @ Gruve.ai",
  "experience": 3,
  "stack": ["Python", "FastAPI", "Django"],
  "systems": ["Kubernetes", "Redis", "Docker"],
  "focus": ["Distributed Systems", "GenAI"],
  "dsa_solved": 1100
}

Try it: type help and press Enter.

01

About Me

Shubham Kumar Gupta

Hi, I'm Shubham Kumar Gupta — an SDE-2 at Gruve.ai with 3+ years of experience designing APIs and services in Django, Flask, and FastAPI.

I care about the hard parts of backend engineering: distributed systems, event-driven architecture with Kafka, caching with Redis, containerization with Docker, and building async microservices that scale.

On the GenAI side, I build production-grade LLM systems — RAG pipelines with hybrid search and reranking, LangGraph orchestration, Vector DBs, and evaluation-driven retrieval — so AI features stay grounded, observable and reliable.

0 DSA Problems Solved
0 Recall@5 on NyayaAI RAG
0 Playwright E2E Suites Shipped
0 Employees on Alerts I Built
02

Skills & Systems

Backend & Distributed Systems

Kafka Redis Docker Kubernetes Distributed Systems Microservices Async / Concurrency Event-Driven Arch REST APIs

Languages & Frameworks

Python FastAPI Django Flask LangGraph JavaScript HTML5 CSS3

GenAI & ML

LLMs RAG Vector DBs Hybrid Search & Reranking RAG Evaluation Pandas NumPy

Data & Cloud

PostgreSQL · pgvector MySQL AWS CloudWatch Git

Live activity

Pulled from GitHub & LeetCode, not self-rated
GitHub contribution chart for sshubham07
03

Featured Projects

StudyBuddy

A dynamic platform empowering users to create and host topic-based discussion rooms with real-time collaboration.

DjangoWebSocketsMySQL

The Midnight Times

Aggregates and serves news articles from multiple sources based on user search, with async fetching.

PythonAsyncREST API
04

Experience

Software Development Engineer 2Feb 2026 — Present
Gruve.ai

Backend services for PulseAI Platform, an on-prem, Kubernetes-native multi-tenant GPU management platform built on FastAPI microservices and PostgreSQL, serving GPU resources across tenant departments.

  • Engineered Kubernetes namespace provisioning and GPU quota enforcement for strict multi-tenant isolation, automating per-department namespaces, resource quotas and RBAC bindings against the production cluster.
  • Designed and built the Observability microservice and Audit Log Viewer from the ground up: a schema-isolated, RBAC-secured FastAPI service powering searchable, filterable, paginated audit trails for compliance and debugging.
  • Shipped every feature as a complete vertical slice (PostgreSQL → API → Kubernetes → UI) as a full-stack owner, protecting release quality with 9+ Playwright end-to-end suites plus unit and integration tests.
PythonFastAPIPostgreSQLKubernetesDockerPlaywright
Backend DeveloperJun 2024 — Feb 2026
Codvo.ai

Core backend contributor on Katapult.com, a large-scale lease-to-own and flexible payment financing platform integrated with merchants such as Amazon and Walmart.

  • Built Django services for end-to-end purchase financing workflows: customer onboarding, transaction validation, repayment schedules and interest calculations.
  • Designed secure REST APIs for real-time payment authorizations, where Katapult pays merchants upfront and customers repay in instalments.
  • Built logic to track loan lifecycle states (approval, disbursement, repayment, defaults, closures) with data consistency and auditability.
  • Developed Celery/Redis background jobs for repayment reminders, status reconciliation and batch financial updates.
  • Integrated AWS S3 for secure document storage and used CloudWatch for centralised logging, monitoring and root-cause analysis of production issues.
PythonDjangoREST APIsCeleryRedisPostgreSQLAWS S3CloudWatch
Software EngineerOct 2023 — May 2024
Advarisk

Built scalable backend services for Advasmart, a fintech platform digitising real-estate collateral processes for multiple banking clients.

  • Built Django & Flask APIs that process large Excel uploads asynchronously with Celery and Redis, keeping APIs non-blocking and background processing reliable.
  • Designed adaptable parsing and validation pipelines for each bank's Excel format, with strict business-rule checks and error reports for failed or mismatched records.
  • Implemented safeguards against duplicate re-processing and kept state transitions audit-compliant to meet regulatory requirements.
  • Second Prize winner at Advarisk's internal hackathon (Advathon).
PythonDjangoFlaskCeleryRedisPandasMySQL
Trainee DeveloperOct 2022 — Sep 2023
Velocis Systems

Built internal tooling for compliance monitoring and automated reporting.

  • Designed and shipped a Flask-based compliance monitoring system with Celery/Redis scheduled jobs and real-time dashboards, improving visibility into policy violations and software usage.
  • Integrated real-time Zulip alerting and automated daily email notifications for 300+ employees, cutting manual reporting effort by 30%.
PythonFlaskCeleryRedisZulip API
05

Education & Achievements

Education

Jawaharlal Nehru University, New Delhi2021 — 2023

Master of Computer Applications (MCA)

St. Xavier's College of Management & Technology, Patna2018 — 2021

Bachelor of Computer Applications (BCA)

Achievements

Second Prize, Advathon

Advarisk's internal hackathon.

1100+ DSA problems solved

Across LeetCode, GeeksforGeeks and HackerRank.

Top 2 institute rank on GeeksforGeeks

Among 500+ students.

06

Coding Profiles

07

Get In Touch

Building something that needs to scale, or a GenAI product that needs to ship? Let's talk.